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Cricmetric – Analytics in Cricket

Cricmetric – Analytics in Cricket

Cricmetric ( provides detailed insight into the performance of Cricket players, and the game of Cricket in general. Cricmetric was conceptualized and founded at the Massachusetts Institute of Technology. The aim of Cricmetric is to become the “Moneyball” of Cricket.

The work of Cricmetric has been along three dimensions: Data, Advanced Metrics and Analysis. We have collected ball-by-ball data of all the International Cricket matches that have been played in the last ten years. In addition to that, we also have match data for popular T20 tournaments, such as the Indian Premier League and the Champions T20 tournament. Having such an exhaustive database allows us to answer many interesting questions, for example, “How does Sachin Tendulkar perform against left handed spinners outside the sub-continent?”

We are also collecting ball-by-ball field placement information for each match which is not available very easily. We are using this data to build a model which would predict the optimal field placement for a particular player in the context of the game and based on historical performance. This model would be very valuable for teams and coaches to build a strategy (both real time as well as before a match starts) as well as for  team selection under different playing conditions.

We have also developed several advanced metrics to analyze limited over Cricket matches, and the performance of Cricket players. We have a model that, in real time, calculates the win probability of a team in a limited over Cricket match, based on the historical data of previously played Cricket matches. Using the win probability statistic, we are able to measure the contribution of each player in the match. This helps us evaluate player performances beyond the traditional statistics used in Cricket, such as batting average or strike rate, for example. We have many more such advanced metrics for ranking players and teams on our website.

Using our database and metrics, we are able to provide in-depth analysis such as:

– How do different venues affect the scoring rate in Cricket?

See Also

– How can we mathematically define “choking” in Cricket?

– Which bowlers have been most successful against a particular player?

– Given two Cricket players, who is the better player of the two?

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  • Hey Sashi,
    Do you have vacancies in your company, for people who are experienced in data analytics and live and breathe cricket. From a personal prospective the whole goal of analytics is to weed out the bias and percerptions that play a large role in a player getting selected or dropped. Also if each of the competing teams in any give competition have a good enough talent pool and a good analytics team. It would lead to selection of better teams. And in turn that will promote better cricket. Kindly let me know if there any vacancies.

  • Hi Shashi,

    Lovely concept and as a cricket nut, one that is likely to consume an inordinately high amount of my time :-). Just one query, how different is your application from Statsguru by cricinfo ?

    • Hi Dipayan,

      Thanks for visiting the Cricmetric website and for your kind words.

      One way in which we are trying to differentiate ourselves is by going beyond just the traditional statistics, and formulating advanced statistics (such as win probability/win probability added etc.) that gives a better evaluation of the player performances. Additionally, we are also collecting data for all international matches at the most granular level possible (even the fielding data), on which we can do any kind of quantitative analysis.

      We are gradually adding web interface for many of these statistics on Cricmetric, so stay tuned!

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