Updated IPL Table of Justice
Last week I introduced my Table of Justice for the 2025 IPL - this shows the league position which a team’s performances in a tournament merit - available for any league in any format of cricket.
This, and all of my upcoming products, use learned historical data - in this case to align current teams with established drivers of success. So, for example, if a team is top of my table of justice such as GT so far in this year’s IPL, it’s because their current performances align well with successful teams of the past.
Here’s a look at the updated Table of Justice for IPL 2025, with reference to the model outputs for each team on the 7th April (eight days ago) to take into account performances in recent matches.
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All teams are rated as a percentage - any team with a percentage over 100% means that they are outperforming vital metrics which align with historically successful teams. Conversely, any team with a percentage below 100% means that they are underperforming relative benchmarks set by historically successful teams.
For example - this season, SRH are struggling with both bat and ball. Their batting issues are, to a degree, driven from a lack of stability which is the opposite of successful teams in the IPL - hence their batting rating being so low. Their low bowling score was, in part, driven by their death bowling.
However, you can see that SRH's rating has improved 6.24% in the last week, with the batting in their win over PBKS being a big factor in this.
Another example - at over 30% higher, PBKS batting is above average but the performance of their bowling group this season was rated the worst in the tournament by some distance. This led to a drop to 8th in the Table of Justice for PBKS and unless their bowling dramatically improves, I'd expect them to struggle to qualify.
I’ll be updating this Table of Justice regularly as the season continues in order to give insight into which teams have underlying data showing them to be better or worse than their actual results suggest.
Also available soon will be a full ranking system of players for any league (starting with the IPL), and a little further down the line will be my long-term vision of the holy grail for cricket analytics - a full player pricing model which will be able to show a fair market price (differentiated by league) for any professional cricketer in the world.
Essentially, I will be able to provide the exact market price for any player to any team in any league, in order to help them guard against overpaying for players, as well as to help them hunt for undervalued players.
As mentioned previously, all of my upcoming products use learned historical data to create outputs - giving an independent and unbiased output for cricket teams worldwide, the media and other organisations.
To register early interest in any of these, or to discuss further, please email sportsanalyticsadvantage@gmail.com.