Welcome to T20 Analytics!

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T20 Analytics provides a statistically sound, data-driven way to evaluate player performance and predict match outcomes. While we consider traditional metrics such as strike rate, batting average, and economy rate, our model goes a step further by adjusting for match context.

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For instance, a batter who maintains a high strike rate in low-scoring games is rated higher than one with similar stats in high-scoring matches. The model also rewards consistency - players who perform well across multiple games rate higher than those with occasional standout performances. And when it comes to overall ratings, it identifies which factors correlate most strongly with team success: taking wickets or restricting runs? Fast scoring or steady accumulation?

 

We’ve launched analysis and match predictions for the IPL and MLC 2025 editions — explore the data and see how the numbers hold up on the field.

 

On this site, you’ll find:

• Overall player ratings for each series

• Metric-specific insights from the model

• Match predictions based on player ratings

• Blog posts analyzing past performances and team strategies

 

Our approach extends naturally to other leagues and international T20 fixtures, where the same principles apply.

 

Stay tuned for more!