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    <loc>https://www.whiteballanalytics.com/articles</loc>
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    <lastmod>2019-07-07</lastmod>
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  <url>
    <loc>https://www.whiteballanalytics.com/articles/2019/7/7/the-2019-cricket-world-cup-in-reverse</loc>
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    <priority>0.5</priority>
    <lastmod>2019-07-08</lastmod>
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      <image:title>White Ball Analytics - The 2019 Cricket World Cup in reverse</image:title>
    </image:image>
    <image:image>
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      <image:title>White Ball Analytics - The 2019 Cricket World Cup in reverse</image:title>
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    <image:image>
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      <image:title>White Ball Analytics - The 2019 Cricket World Cup in reverse</image:title>
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    <image:image>
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      <image:title>White Ball Analytics - The 2019 Cricket World Cup in reverse</image:title>
    </image:image>
    <image:image>
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      <image:title>White Ball Analytics - The 2019 Cricket World Cup in reverse</image:title>
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  <url>
    <loc>https://www.whiteballanalytics.com/articles/2019/5/27/the-indian-coin-flip-contest</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-05-29</lastmod>
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      <image:title>White Ball Analytics - The Indian Coin Flip Contest</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1558988482495-ENE0HU560GCA233O9A44/chart+1.png</image:loc>
      <image:title>White Ball Analytics - The Indian Coin Flip Contest</image:title>
      <image:caption>The true IPL standings for 2019 compared to standings generated by the coin toss results only</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1558989973547-FTJT0AQEZ699JITWIR49/chart+2.PNG</image:loc>
      <image:title>White Ball Analytics - The Indian Coin Flip Contest</image:title>
    </image:image>
    <image:image>
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      <image:title>White Ball Analytics - The Indian Coin Flip Contest</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2019/1/20/visuals-to-break-down-player-performance</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-01-20</lastmod>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/11/26/t20-match-simulator</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-11-28</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543260304371-J8O8HEZA4ONXFT5DZZLO/Summary+of+data.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543261665691-INAFNVOB92RNE8JVR11K/Model+logic.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543264883336-ZD9VX1KLZC6GNCIBCJQE/image-asset.png</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543265898346-EYKXPJNI2XA45NNN7B0F/Predictors.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
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      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543269261052-DYADI5SPFTKPXFJ5QEMK/Bowler+Scatter.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543268974132-5POKO8TBGKVXCKGWOQ53/image-asset.png</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543313760609-9DCG77DYG92PT47LGXQ7/Board+1.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1543315032651-RXCQBDQZ1SEOH6B7DS0V/Board+2.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Match Simulator: under the hood</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/11/6/sortable-advanced-stats</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2019-01-19</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1541520231822-EPWJFXD7ZAQ63U2JLBJN/tableau.PNG</image:loc>
      <image:title>White Ball Analytics - Sortable Advanced Stats</image:title>
      <image:caption>Image only. Links to the actual interactive tables are included below</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/9/30/simulate-pinching-intro</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-10-06</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1538498573430-ZLR8DIUO4G23QQA9XBZ3/1+Narine+by+BP.PNG</image:loc>
      <image:title>White Ball Analytics - Simulating T20 Matches: Pinching</image:title>
      <image:caption>Sunil Narine SR in T20 by batting position. Highest SR when he opens the batting</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1538820994378-TMYYEV7YLIAPX0AIESCO/2+team+sheets.PNG</image:loc>
      <image:title>White Ball Analytics - Simulating T20 Matches: Pinching</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1538499829890-FF5UIG6X5BBZ575CX751/Narine+SRs.PNG</image:loc>
      <image:title>White Ball Analytics - Simulating T20 Matches: Pinching</image:title>
      <image:caption>Narine is under estimated by the simulation. We can see this because his Powerplay Strike Rate in real life is much higher</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1538821867480-N143PZSPH05FJS9FZ7QY/4+results+by+chase.PNG</image:loc>
      <image:title>White Ball Analytics - Simulating T20 Matches: Pinching</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1538822925841-L0QH4758FDLUA06MJO97/all+resutkls.PNG</image:loc>
      <image:title>White Ball Analytics - Simulating T20 Matches: Pinching</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1538501506187-20MLC9TQRP8LAZVETGEI/SHAPE.PNG</image:loc>
      <image:title>White Ball Analytics - Simulating T20 Matches: Pinching</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/8/19/introducing-a-t20-captaincy-metric</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1534878780697-RKK825KKCZ3P8X6WDJGS/captain+bubbles+version+2.PNG</image:loc>
      <image:title>White Ball Analytics - Trialling a T20 Captaincy Metric</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/8/18/captain-typical</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1534608512442-QEZR1S66PRRU4P1F1EC5/Morgan.png</image:loc>
      <image:title>White Ball Analytics - Captain Typical</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1534608754879-YBW4YRIFYZ4H3XMBF3WW/BY+OVER.PNG</image:loc>
      <image:title>White Ball Analytics - Captain Typical</image:title>
      <image:caption>Neural network model classification rates by over. How often does the model correctly identify the ext bowler in T20</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1534609528220-GO2TE5L3XWNNK5ODKXQL/Model+calibration.PNG</image:loc>
      <image:title>White Ball Analytics - Captain Typical</image:title>
      <image:caption>Calibration of a neural network design to pick the next bowler in a T20 match</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1534611496690-DOM5QDPMOME5WDB2NDU1/facotrs.PNG</image:loc>
      <image:title>White Ball Analytics - Captain Typical</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/6/23/ball-by-ball-data</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/6/6/pinching-in-an-ipl-final</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-06-07</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1528288451270-OFP0ANV1ZHVQJE80WEZZ/Watson+v+SRH.PNG</image:loc>
      <image:title>White Ball Analytics - Pinching in an IPL Final</image:title>
      <image:caption>Shane Watson strike rate against Sunrisers Hyderabad bowlers in the IPL final</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1528366503289-A8V95ROMXWHLC45ACFDQ/inch+ipl+2018.PNG</image:loc>
      <image:title>White Ball Analytics - Pinching in an IPL Final</image:title>
      <image:caption>Pinch hitting in IPL 2018</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1528366543941-AYY62WWMI7PMR4A8TFJI/runs+by+ball+watson.PNG</image:loc>
      <image:title>White Ball Analytics - Pinching in an IPL Final</image:title>
      <image:caption>Number of runs scored by Shane Watson in the IPL final 2018 by the number of balls faced</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1528366596858-1JL2V64G84XB4Q7DLRY5/final+table.PNG</image:loc>
      <image:title>White Ball Analytics - Pinching in an IPL Final</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1528366607971-ES92VTOYQ39MJTWJUHIK/final+chart.PNG</image:loc>
      <image:title>White Ball Analytics - Pinching in an IPL Final</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/5/28/reflection-on-the-ipl</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-05-29</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1527618489804-AAE1BAXD2AFYW3W9F5GG/Shoe+Shop.jpg</image:loc>
      <image:title>White Ball Analytics - Reflection on the IPL</image:title>
      <image:caption>TRAPPED and SURROUNDED !</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/3/18/middle-order-heroes</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1522488513585-9Z3AVOWZLTBINUXXWV0B/chart+1%2B2+%28second+effort%29.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
      <image:caption>Rohit Sharma produces significantly better stats - average, strike rate, runs added - when opening the batting versus playing in the middle order</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1522489348233-NXVW1JKSRY0XSBILBFRX/Mumbai+bubble.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521405897524-YZ36BF4OYPNLBMH655MT/Jiggred.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521406237378-1XIN9E6R45GO2C672K3H/Jiggred+adv.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521407257443-J3PHNVNZ04J1X6B66I3G/diagram.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
      <image:caption>Calculating True Strike Rate does not remove all biases from the analysis</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521470698159-2WLJY23H72J7ON5H0Z8C/gjm+all+innings.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
      <image:caption>Glenn Maxwell Runs Added up and down the order throughout his career</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521470726968-7WMNABIU56RXKO91MZAV/spin+trends.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
      <image:caption>IPL teams are using spin bowlers more frequently in the Powerplay each year from 2015 to 2017</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1522494607757-PIZHCH321Q17X5Q3F9TY/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521470712567-DENGMA86QUPW5YXMINCM/rgs+all+innings.PNG</image:loc>
      <image:title>White Ball Analytics - Where should you play your best batsman?</image:title>
      <image:caption>Rohit Sharma Runs Added up and down the order throughout his career</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/3/6/new-language-of-advanced-t20-analytics</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1520378184487-GTVL31T0DL2WT0NPWE2X/Venn+diagram+small.PNG</image:loc>
      <image:title>White Ball Analytics - Language of Advanced T20 Analytics</image:title>
      <image:caption>Venn diagram showing the three criteria that any new metric should pass before being introduced</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1520378297719-RXDLB0YI1Q6G89VHL1PJ/Five+metrics.PNG</image:loc>
      <image:title>White Ball Analytics - Language of Advanced T20 Analytics</image:title>
      <image:caption>The five key metrics for bowlers and batsmen that I need to judge player value: sample size, True Economy, True Strike Rate, Runs Added</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/2/18/toss-decisions-its-complicated</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1521830742174-HX2NTUNR5ZLHLSB07BEW/toss+bias+revisited.PNG</image:loc>
      <image:title>White Ball Analytics - Toss decisions: it's complicated</image:title>
      <image:caption>Underdog captains are more likely than their counterparts to adopt a high risk strategy - chosing to bat first in T20 games after winning the toss</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/2/9/toss-decisions-worse-than-random</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1518203052339-DMP9YLX00K5PFWX8Q0D3/IPL+toss+bias.PNG</image:loc>
      <image:title>White Ball Analytics - Toss decisions: worse than random</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1518203663980-9X4PXC9UJRS7KU8VU27F/Trend.PNG</image:loc>
      <image:title>White Ball Analytics - Toss decisions: worse than random</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1518202988929-9DNATB0SZ07FFGFHLOFK/All+leagues+choice+bias.PNG</image:loc>
      <image:title>White Ball Analytics - Toss decisions: worse than random</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/2/1/ipl-auction-2018-rtms</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-02-01</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1517507041955-C06QN7L7LWDUVSOHDJ2V/Retention+choices.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Auction 2018 - RTMs</image:title>
      <image:caption>Retention choices made by each team during the IPL Auction 2018 - both pre-auction choices and RTMs</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1517507149417-J1XQGE9ED5E004LCZGIJ/Pre-auction+retentions+chart.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Auction 2018 - RTMs</image:title>
      <image:caption>Teams spend similar amounts of Crore to retain domestic and overseas players before the auction started. The price for RTMs was also the same. In both cases, overseas players are more talented than the domestic players</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1517513761874-MJ9NTP1Q4CYYL69D99B3/Pre-auction+retentions+list.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Auction 2018 - RTMs</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1517507552687-ZF2LYZBSCH14XTJ3KC22/Player+comparison.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Auction 2018 - RTMs</image:title>
      <image:caption>The True economy for Chris Lynn, Glen Maxwell and Rashid Khan are far more impressive that Steve Smiths stats</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1517511119287-VKI7C0U5NL56QV587CPI/Retention+opportunities.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Auction 2018 - RTMs</image:title>
      <image:caption>42% of RTM opportunites were taken by teams</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1517511265882-10DNSCHULJPVUJLLB5T9/Rashid+bidding.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Auction 2018 - RTMs</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2018/1/4/ipl-retentions-2018</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-01-04</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515084834061-4TG4BRBVPG11MWITM3DE/csk.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Chennai Super Kings retained MS Dhoni, SK Raina, RA Jadeja</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515084886367-FP6HWK128FZH6TKTGM19/rcb.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Royal Challengers Bangalore retained V Kohli, AB de Villiers, SN Khan</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515084930769-NFR3KBRMT6XX5TWTJSZQ/dd.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Delhi Daredevils retained Chris Morris, Shreyas Iyer, Rishabh Pant</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515085120497-245F6ELFSUT6TW48YI0V/kxip.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Kings XI Punjab retain Axar Patel</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515085156022-WWX5CG6A28SOC7RD6Y76/rr.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Rajasthan Royals retained Steve Smith</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515085213155-UQN3NPCFQP2AVZ2KVZJ6/mi.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Mumbai Indians retained Jasprit</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515085306208-JGVPK0J5112B1YBPACVJ/srh.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Sunrisers Hyderbad retained David Warner and Rashid Khan</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1515085335424-U2PJKFAZ8SM6I1H3K7AL/kkr.PNG</image:loc>
      <image:title>White Ball Analytics - IPL Retentions 2018</image:title>
      <image:caption>Kolkata Knight Riders retained Sunil Narine and Andre Russell</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/12/11/gulf-in-the-bpl</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-12-12</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1513030355377-3TEZM4AT6C0ZAMLXIONP/Basic+stats.PNG</image:loc>
      <image:title>White Ball Analytics - Gulf in the BPL</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1513025951090-1GJ3K2IHGTIM5B1WVQSU/Basic+bubble.PNG</image:loc>
      <image:title>White Ball Analytics - Gulf in the BPL</image:title>
      <image:caption>Chart showing the discrepency and talent gulf between overseas and domestic batsmen and between overseas and domestic bowlers, depedning on the matchups</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1513026424784-3E0PVYZRN8IU11X9M9G4/2017+leagues.PNG</image:loc>
      <image:title>White Ball Analytics - Gulf in the BPL</image:title>
      <image:caption>Comparison of leagues based on the disparity between local and overseas players</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1513026670200-52PHIK2MS91NC2E3GWII/BPL+time.PNG</image:loc>
      <image:title>White Ball Analytics - Gulf in the BPL</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1513028468392-RVGFTKH3U1ZF554A0M2D/samuels.PNG</image:loc>
      <image:title>White Ball Analytics - Gulf in the BPL</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/10/29/optimising-the-first-over</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509279247768-KXLUFQNLZDD0PHRTZ69N/01+Kent+low+run+rate.PNG</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
      <image:caption>Kent were the bottom ranked team in the T20 Blast for runs scored in the first over, after the first few matches had been played</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509279687387-H710TBPH30A8QB4EULMW/denlybelldrummond.jpg</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
      <image:caption>Joe Denly and Bell-Drummond switched polaces at the top of Kent's batting order halfway through the season</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509279891333-0X2OWXUQCB5R20S90R8Z/03+the+three+overs.PNG</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
      <image:caption>Which over is which? Each one shows the chance that the team with the superior run total (in that over) goes on to win the match</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509280324907-3X4EXD82N51UL3AZ2ZP1/04+segmentation.PNG</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509282388979-D4HTRYJ0PSU00PJUOBOG/05+outcomes.PNG</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
      <image:caption>** Avg. bat value represents the added runs value that the player provides above the average IPL batsman. The numbers are negative because the average IPL batsman is quite good</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509281219378-E62CQA3P3G0JR2S5F6NN/02+wicket+value.PNG</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
      <image:caption>The value of wickets decreases throughout an innings. On the other hand, the value of a six is roughly constant throughout</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509284483021-MIJGB1B88R6W40909MC1/06+Top+Openers.PNG</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1509283703649-AEN0HAJ7VN1I8J5X1V45/mattcoles.jpg</image:loc>
      <image:title>White Ball Analytics - Optimising the first over</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/10/17/top-10-player-rankings</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1508264901373-QAARWSJ54T5MUH9C0I0K/lynnsanity+cropped.jpg</image:loc>
      <image:title>White Ball Analytics - Top 10 player rankings</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1508428827512-DNPHCE1ZKSF1O6Q7URSJ/Bat+Rankings.PNG</image:loc>
      <image:title>White Ball Analytics - Top 10 player rankings</image:title>
      <image:caption>Rankings of the top T20 batsmen globally. Chris Lynn tops the list</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1508264802610-9TG0JS5A1UZ8RCG0N48Y/Ball+Rankings.PNG</image:loc>
      <image:title>White Ball Analytics - Top 10 player rankings</image:title>
      <image:caption>A list of the top 10 T20 bowlers ranked based on expected contribution to their teams, in terms of runs. Sunil Narine and Rashid Khan loom large at the top of the list</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/9/29/t20-player-value-part-iv</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506717195490-IE2BD6K2X3OZYS32MP09/09+Dan+Weston.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part IV</image:title>
      <image:caption>Source: Sports Analytics Advantage, Cricket Case Study - Selecting players for the 2020 English franchise draft</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506717417379-CA547H2MATL8I178L67B/01+extra+chaos.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part IV</image:title>
      <image:caption>Correlation between fielding and bowling extra conceded by T20 bowler</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506717497342-UZAUY8O5GPT0NLR2ZSOA/Six+frequency.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part IV</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/9/29/t20-player-value-part-iii</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1507039690600-LTBFOFMP7Y8O5VRSA809/Gayle+adjustments.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part III</image:title>
      <image:caption>Table / chart showing how we rate Chris Gayle contributions in runs including venue, league, batting position, workload adjustments</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506716036300-820QXS72FC3UWQFHHUSB/08+Freddie+Wilde.jpeg</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part III</image:title>
      <image:caption>Chart from CricViz showing a sharp uptick in Gayle’s ‘running ball percentage’ in the latest CPL</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506716503254-LCHS3WFES83ISQK17SLQ/Age+1.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part III</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506716516113-EXINH3RTIS68M88ZPGJ2/Age+2.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part III</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506716538099-U7J15WQ3UK9BK5SB1NFS/Age+3.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part III</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506716554475-T567JT1BY1W2Y1GOX2A4/Age+4.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part III</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/9/29/t20-player-value-part-ii</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506714127985-IOUR3UWF1PHPN9UNQTPS/02+Highest+scores.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part II</image:title>
      <image:caption>Source: Wikipedia, which in term used ESPNcricinfo (but the formatting on Wikipedia is nicer)</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506714621634-3Y383O3VVP51665J9MNT/03+Samples+and+weightings.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part II</image:title>
      <image:caption>Different samples used to assess typical venue scoring rates</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506714717111-5F7TQS32S6LUH08JPI57/04+Venue+adjustment.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part II</image:title>
      <image:caption>Per ball adjustements made based on the typical first innings score at each venue / ground / stadium</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506714822999-SP32Z6RFDM1DQ0C4VOHE/07+Leagues+quality.png</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part II</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506715286912-WMJRPKK7E4LUZ37JZN26/05+Albie+blitz.jpg</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part II</image:title>
      <image:caption>Albie Morkel staged a late comeback with Anirudha to help the Chennai Super Kings defeat the Rajasthan Royals in the IPL in 2012</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506715501313-DVX905BEUL0SKLRPBHKS/06+Workload+adjustment.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part II</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/9/29/t20-player-value-part-i</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506715706297-E7L7AK6LYEEKDOVTUGZN/T20+Analytics+logo.png</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part I</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1506713603025-L1P6W7XF61Z5ANAL32HC/01+Value+of+a+run.PNG</image:loc>
      <image:title>White Ball Analytics - T20 Player Value: Part I</image:title>
      <image:caption>How many wins is a run worth in T20. It depends on the target being chase. In close games, the runs are worth more</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/9/13/global-t20-draft-best-picks</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505265336547-9T3DHE4UPT6PR6BJ18NJ/Durban-Qalandars-logo.jpg</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505331186455-YZQGRS1UOEYOFDPQIZG6/Chris+morris+combo.PNG</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
      <image:caption>None of the other players still available in the draft (after the marquee stars) offered the same all-round combination with both bat and ball</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505267205777-6Y175J9F0O4CP4VNQVV9/Joburg-Giants-Johannesburg-team-t20-gl.jpg</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505331039544-CSKEHYG3P6MAVLNWEH1C/Colin+ingram+combo.PNG</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
      <image:caption>Nobody has been more prolific in the Natwest T20 Blast in the last 2 years when it comes to clearing the ropes</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505309038697-JBBWGXG16EFR3Q1NZ2GW/Benoni-Zalmi-logo.jpg</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505332167779-W1272811MPD0KMX4GRBK/Ngidi+combo.PNG</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
      <image:caption>Few young players have such a good start to their T20I careers. If Ngidi can replicate the value of Shadab Khan then Benoni Zalmi have a gem</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505333951488-1AN4UJ5BTZ9TBD8XO1TP/Benoni-Zalmi-logo.jpg</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505335704187-FQ6NKCFXN061S1FHA8EH/e8d1a206d5994838b15d267f774d6b23.jpg</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505336489050-Y09D59Q5W02C80REH303/Myburgh+combo.PNG</image:loc>
      <image:title>White Ball Analytics - Global T20 draft: Best picks</image:title>
      <image:caption>You failed to pick any International stars so far... deep into the later rounds... why not recruit some experience?</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/9/11/bowler-workload</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505132481190-6FS590AOUZWFVEQ2X320/Capture1.PNG</image:loc>
      <image:title>White Ball Analytics - Bowler workload</image:title>
      <image:caption>Cross tab between the number of overs bowled by a bowler and the runs conceded in their best and worst overs</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1505133805732-RD9HTSWV69DIZ6XR84QP/Capture2.PNG</image:loc>
      <image:title>White Ball Analytics - Bowler workload</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/8/22/first-over-specialists</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1503429207338-8R8FGDKIXY3BORWRAFWP/chris+gayle+again.jpg</image:loc>
      <image:title>White Ball Analytics - First-over specialists</image:title>
      <image:caption>Can't resist an excuse to use a picture of Chris Gayle, even in a post about bowling</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1503407581161-I076H233XS63V70071QS/01+Tactic+employed.PNG</image:loc>
      <image:title>White Ball Analytics - First-over specialists</image:title>
      <image:caption>Chart showing the usage of part-time bowlers during a match</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1503409204696-5KFGSUDXYG9QDDQ517M4/02+Cricinfo+excerpt.PNG</image:loc>
      <image:title>White Ball Analytics - First-over specialists</image:title>
      <image:caption>Except from the Cricinfo article on "The art of the first over"</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1503411590127-XEGQ47BPGNGZSEXPQ8H7/03+4+charts.PNG</image:loc>
      <image:title>White Ball Analytics - First-over specialists</image:title>
      <image:caption>Charts showing the difference between part-timers and specialist bowlers by over in both the first and second innings. Differences in both runs and wickets are shown</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1503413012250-Z84FBPKH1OEBU0LOIJFJ/04+final+chart.PNG</image:loc>
      <image:title>White Ball Analytics - First-over specialists</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/8/17/ageing-curves-part-ii</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502962953865-U5U0UP0WBW68RYXHIPOM/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing Curves: Part II</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502966721815-RU6ZT8X6UUOCH8H94VP5/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing Curves: Part II</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502963344579-NKG89LB9NOIX0LFZVQXP/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing Curves: Part II</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502967523060-ZC88NDVXOMKZ66A285HD/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing Curves: Part II</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1503159872030-M2N8ULA223UTVS4OLCF0/04+all+aging+curve+3.PNG</image:loc>
      <image:title>White Ball Analytics - Ageing Curves: Part II</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/8/15/aging-curves</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502966042353-5C9H2GWPLK1THXX4M797/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing curves: Part I</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502809251653-CPQT8PX4632RHGCPBCDO/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing curves: Part I</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502809512948-U4L8RYB498DCDAVVC59O/02+ravi+bopara+yoy.PNG</image:loc>
      <image:title>White Ball Analytics - Ageing curves: Part I</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502809968233-78TF9L2ZELROYS6ZEKPH/03+all+yoy.PNG</image:loc>
      <image:title>White Ball Analytics - Ageing curves: Part I</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1502881561937-0UTBED4LXW6E2KCH1RWH/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Ageing curves: Part I</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/7/20/predicting-bowling-performance</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500576300779-HESW6XK0L160DV3LAJOC/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting bowling performance</image:title>
      <image:caption>Correlations between various bowling statistics and future performance (as measured by RA and WPA)</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500578143988-98VQMIT0A861VS4W4Y1N/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting bowling performance</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/7/15/anderson-and-broad-are-the-same-bowler</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500159225890-WJO7D7ZGNV9QOX3OLUU5/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Anderson and Broad are the same bowler</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/7/15/predict-batting-performance</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500212918953-22KEJBMGSCEUE88N5IFM/image-asset.jpeg</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
      <image:caption>Chris Gayle hitting a six as a symbol of batting performance</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500154849256-RYQWDH9EPRBAAUNRAB8E/01+KS+Williamson.PNG</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
      <image:caption>Weak but definite positive correlation between balls faced in different innings by the same batsman. Correlation coefficient is 44%</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500155667866-AIBJWLQXYZR4B2BTBYY6/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
      <image:caption>Correlations between the most common T20 statistics and Runs Added (RA) and Win Probability Added (WPA)</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500201291421-HXW3WYQ2ZNS2OLFG4Y91/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
      <image:caption>Best predictors of future value in T20 are: Runs Added, 6s / sixes, strike rate, wides</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500203301534-PHMIYOEWHGD687IIWR35/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500205254116-W7OZFXCI4Z0AW8WG1S0I/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500205267146-5OZI9666M73O1P8XD6GI/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1500205324920-NV215OISY8WO9G9AM7WC/05+runs+per+freehit.PNG</image:loc>
      <image:title>White Ball Analytics - Predicting batting performance</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/7/2/standards-of-play-across-t20-leagues</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-20</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498993903626-QX3ISVDPHD2BTQEWSZ6D/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
      <image:caption>Average first innings total across different T20 competitions. IPL / BBL / T20I / NWB. Natwest T20 Blast is roughly in line with other big T20 leagues</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498995729383-V295MT65W2N9ZD4EBKTQ/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
      <image:caption>KC Sangakkara scores more quickly in the Natwest T20 Blast / Twenty20 Cup than in any other domestic league across the world</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498997668270-SBNPCUWRHY0ULJKJFOX3/03+batting+per+ball.PNG</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498998272177-MYW0Q1TYJ5UOPEHJPLVD/05+bowling+per+ball.PNG</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498999175791-CVB8AF399UB5JTN4QFXE/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498998551896-72EVIFC37VWRYSFF7WIS/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498999975432-V646U4LKJUMOLK4V5HUZ/07+final+rankings.PNG</image:loc>
      <image:title>White Ball Analytics - Standards of play across T20 leagues</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/7/2/ipl-not-bigger-than-english-premier-league</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1499024892330-258MKD1V7IC96XEBG51B/image-asset.png</image:loc>
      <image:title>White Ball Analytics - IPL not bigger than English Premier League</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1499021832229-LL4X0L1AQL47Z28NHEP1/image-asset.png</image:loc>
      <image:title>White Ball Analytics - IPL not bigger than English Premier League</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1499025806644-WHH0MN2CAUYCDZI81EK9/image-asset.png</image:loc>
      <image:title>White Ball Analytics - IPL not bigger than English Premier League</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1499025549212-N76VIQBTTS23CRPTRBKP/image-asset.png</image:loc>
      <image:title>White Ball Analytics - IPL not bigger than English Premier League</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1499024329046-TGLPLOXZAQF89JPMCABK/image-asset.png</image:loc>
      <image:title>White Ball Analytics - IPL not bigger than English Premier League</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/6/25/bowlers-win-tournaments</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498405471815-X2NIN9F8J23CPAVFAPOC/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowlers win tournaments</image:title>
      <image:caption>Top ten tournament performances based on Win Probability Added (WPA)</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498406036264-S7I5I7UDWDLZFQ4RGMB7/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowlers win tournaments</image:title>
      <image:caption>Batsmen win matches. 50% of match-winning perfromacnes were by a batsman vs. 33% bowlers</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498408490272-X2IXNJJ9EEM03SGJD7CB/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowlers win tournaments</image:title>
      <image:caption>Batsmen win tournaments too. Top performers in T20 tournaments are almost exclusively batsmen</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498412246309-K21U04Y94HTGCRCG0UUS/03+distributions.PNG</image:loc>
      <image:title>White Ball Analytics - Bowlers win tournaments</image:title>
      <image:caption>Distribution of permances as measured by WPA</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1498413941346-NRD288EDFY168EQREPJB/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowlers win tournaments</image:title>
      <image:caption>Showing the relative quality of bowling and batting units for tournament winning teams. table</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/6/24/win-probability-methodology-write-up</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/6/4/batsman-tendencies</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-20</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496594455138-46JMBLD8P56LF0R3V2RQ/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Title picture including all six featured batsmen in this post: Chris Gayle, David Warner, Virat Kohli, MS Dhoni, David Warner, Brendon McCullum</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496587692087-4B187LMU3Z82SVKL01IM/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>AB de Villiers is the only batsman who scores significantly fast in one innings and not the other. He scores 0.2 runs per ball faster in Innings 1 vs. Innings 2</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496589969423-XFQKFOOSWBX16SXXENTG/12+DW.PNG</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Comparing runs per ball against runs per ball in the Powerplay overs. David Warner rises to the top but MS Dhoni is also an outlier at the bottom</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496590849075-QAXJK6W1ADA5RBSGQ89K/13+BBM.PNG</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Comparing runs per ball against runs per ball in the final overs. Chris Gayle, AB de Villiers, Brendon McCullum score faster than any other batsmen at the death</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496591480259-KUEGP9Y8BFBSCA22JS51/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Virat Kohli has the lowest strike rate and his innings are the longest of the six key batsmen in this analysis</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496591823842-40P2C43VLUJ6IQWC1BMS/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Frequency of balls hit for two runs against the frequency that the player runs for a bye. MS Dhoni stands out as a player who excels in both</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496592997968-XDBYH8QE4UEU4KPB5WT1/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Frequency of balls hit for six against wickets lost. Chris Gayle is an extreme outlier</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496593070628-7J8DWQEXMU0GFE2DAP8A/16+CHG+a.PNG</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Chris Gayle hits hard - he hits more sixes than anyone else</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496593127314-307KHZPQ3ERCKNBIM5RB/16+CHG+c.PNG</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Chris Gayle is scary - bowlers bowl more wides to him than others</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496593104638-3II0QXG9BJCR024NNNUI/16+CHG+b.PNG</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Chris Gayle starts slowly - scoring slowly in his first 6 balls</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496593142419-IAKEELE5ZGR7MZ5LWEV6/16+CHG+d.PNG</image:loc>
      <image:title>White Ball Analytics - Batsman Tendencies</image:title>
      <image:caption>Chris Gayle is lazy - he very rarely runs ones or twos</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/6/3/bowler-tendencies</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-06-09</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496503102881-T01K53TU343U8XN3FF8K/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
      <image:caption>Title picture including all six featured bowlers in this post: Harbhajan Singh, Sunil Narine, Lasith Malinga, Dale Steyn, Dwayne Bravo, Shahid Afridi</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496501563704-C84AKWWCPHCMJQ5N6IK4/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
      <image:caption>Byes frequency against bowling economy. Narine stands out along with Badree as economical bowlers who also concede very few wides</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496497005906-PE1JXB654GL7ANNZ751B/05+finisher.PNG</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
      <image:caption>Death bowling in the last over against dot ball frequency. Dwayne Bravo stands out as a very willing but not necessarily effective death bowler</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496497776667-5TSMSH918HBNQN5ITAKZ/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496498648889-ZCPANDGCH5LAO1IG1YM2/06+ground+attack.PNG</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
      <image:caption>Boundaries frequences: four against six. Dale Steyn stands out as a bowler who often gets hit for four but not six</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496499025461-A82P063SFSRETWHKJ7IJ/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496501344483-0V87RUJGC2IRMULR8C0P/07+boring.PNG</image:loc>
      <image:title>White Ball Analytics - Bowler Tendencies</image:title>
      <image:caption>Economy against the percentage of bowling in the more challenging overs - Powerplay and at the death</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/5/29/you-cant-buy-the-ipl-title</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-05-29</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496076947990-YSD40N0YLC69TNV5L4TW/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Why you can't buy the IPL title</image:title>
      <image:caption>Salary comparison of IPL teams 2017 including highest paid player</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496081505354-LDQTTVVKB5M6YX48KQ3R/Salary+distribution+by+team.PNG</image:loc>
      <image:title>White Ball Analytics - Why you can't buy the IPL title</image:title>
      <image:caption>Distribution of player salaries for IPL teams in 2017. Rising Pune Supergiant have a high concentration of salary in heir top players. Delhi Daredevils have a more even spread; strength in depth</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496081910948-3OE02DF4M69J4XW2HFBY/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Why you can't buy the IPL title</image:title>
      <image:caption>Weak correlation between the salaries of the top 3 players in a team and the overall team success. Data includes all 10 IPL seasons</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1496084196055-RZL1BD4ZO7E2P9Y98FZ0/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Why you can't buy the IPL title</image:title>
      <image:caption>Chart showing how to identify the highest correlation and a false positive</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/5/21/value-from-the-middle</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-05-29</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495718480395-IXE98A86NSXMGI3SQY71/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Glamour from the openers, value from the middle order</image:title>
      <image:caption>David Warner as an example of an opening batsman (glamour) and Jos Buttler as an example of a middle order batsman (versatility)</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495707913601-OZKSDMVIQUUD311O0V7Z/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Glamour from the openers, value from the middle order</image:title>
      <image:caption>Percentage of a teams balls faced by each position in the batting order</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495710854666-2ERPX4VFYAARSCUNYIND/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Glamour from the openers, value from the middle order</image:title>
      <image:caption>Beautiful chart showing the average strike rate for each batting position in each over of a Twenty20 match</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495403433587-1WPVW9RJWGOMD123E9F9/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Glamour from the openers, value from the middle order</image:title>
      <image:caption>Summary of Virat Kohli's statistics at different positions in the batting line-up in Twenty20 cricket</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495716025095-MJG1WQZ5V21XS83VFKBT/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Glamour from the openers, value from the middle order</image:title>
      <image:caption>Stunning visual showing which batting positions in Twenty20 are the hardest to out-perfrom</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495405247095-GRZXSCV9ZGBQWE3DK7WN/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Glamour from the openers, value from the middle order</image:title>
      <image:caption>Summary of the various levels of difficulty for different positions in the batting order</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/5/21/how-real-is-punes-jinx-over-mumbai</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-05-29</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495373958510-KZ5783WAEBMZ198X8YZS/image-asset.jpeg</image:loc>
      <image:title>White Ball Analytics - How real is Pune's jinx over Mumbai?</image:title>
      <image:caption>MS Dhoni - a man who believes that he holds a jinx over any team he plays</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495372609328-OS6KISPS49CVXQ24OW0P/image-asset.png</image:loc>
      <image:title>White Ball Analytics - How real is Pune's jinx over Mumbai?</image:title>
      <image:caption>Poll result taken from espncricinfo.com</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/5/16/is-stokes-worth-17m</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-09-30</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495048710663-AJRYOPVEC1Y4KLKMJWBD/image-asset.jpeg</image:loc>
      <image:title>White Ball Analytics - Is Stokes worth £1.7m?</image:title>
      <image:caption>Ben Stokes is a hugely valuable cricketer but probably not valuable enough to justify a £1.7m price tag based on his on-field performances alone</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495046222130-VQ9TUNL99D8TGND09F3Y/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Is Stokes worth £1.7m?</image:title>
      <image:caption>Summary of Ben Stokes' contribution to the wins and losses of Rising Pune Supergiant</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495047526956-VRQUZOJXZGXGIEG5J7UQ/batting+performances.png</image:loc>
      <image:title>White Ball Analytics - Is Stokes worth £1.7m?</image:title>
      <image:caption>Beautiful visual that shows the Runs Scored and the Runs Added above a benchmark from Ben Stokes in the 2017 IPL season</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495048298578-VP03EEOKYIPSZ6C1J0CF/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Is Stokes worth £1.7m?</image:title>
      <image:caption>Total wins contributed during the 2017 IPL season</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1495050542892-J6RVPFUOAFALIDVL6RBB/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Is Stokes worth £1.7m?</image:title>
      <image:caption>Comparison of IPL salaries in the 2017 season including the amount paid to the teams' highest paid players</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.whiteballanalytics.com/articles/2017/5/14/mystery-man</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-06-07</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1494888967979-LEE6JMAN8ES3QXUWKKFC/image-asset.jpeg</image:loc>
      <image:title>White Ball Analytics - Mystery man is back as an all-rounder</image:title>
      <image:caption>Sunil Narine: mystery bowler, firecracker opening batsman, T20 and IPL legend</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1494887200316-J08KG0H93LKTG3NF6E79/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Mystery man is back as an all-rounder</image:title>
      <image:caption>Top 5 bowlers in the IPL based on Wins Prevented and Runs Prevented in the last 6 years. Sunil Narine is mile ahead of anyone else</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1494884120535-CYIYE3QF7LDTSFWVWE7A/Great+bowling+seasons.png</image:loc>
      <image:title>White Ball Analytics - Mystery man is back as an all-rounder</image:title>
      <image:caption>Record breaking economy rates in the IPL. Sunil Narine is the only person / player who appears twice but Muralitharan / Murali has the lowest overall economy</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1494884720545-W3XGJD8XK1TCGW6XJL9U/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Mystery man is back as an all-rounder</image:title>
      <image:caption>Showing how Sunil Narine's economy has risen over the last few years even as his exposure to Powerplay and death overs ahs decreased; 2012-2017</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1494885415120-ZDMU7NOZJ6W30TVUJSKR/image-asset.png</image:loc>
      <image:title>White Ball Analytics - Mystery man is back as an all-rounder</image:title>
      <image:caption>Stunning visual that shows Narine's 2017 batting performances in the context of all other opening batsmen</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5918350f1b10e3f7ad21e407/1494886741334-UJ7JTOVP3BDNBCG41VOI/Value+added.png</image:loc>
      <image:title>White Ball Analytics - Mystery man is back as an all-rounder</image:title>
      <image:caption>Summary of the most valuable Kolkata Knight Rider players during the 2017 IPL season</image:caption>
    </image:image>
  </url>
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      <image:title>Win Probability Model</image:title>
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