Updated IPL Table of Justice
Recently 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 underlying performance 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 15th April (the previous update) to take into account performances in recent matches.
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, and despite recent improvement (+3.30% overall since the last update), 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.
Furthermore, SRH's rating has improved 9.54% since the 7/4/25 update, showing continued improvement after a very poor start - although it is very unlikely to be enough to turn their season around.
In the last update, I mentioned that PBKS batting performance this season so far was much better than their bowling performances, and ‘unless their bowling dramatically improves, I'd expect them to struggle to qualify’. They will be delighted to see that this is the case, with their bowling now very slightly above the average team, and they’ve gained three players in the Table of Justice as a result.
Also worth noting is that there is now a performance split between the top three in the Table of Justice (GT, MI, RCB - who are also the top three in the league table) and the rest. It looks like DC and PBKS are fighting for the final qualifying position at the end of the season - and PBKS are on an improving trend, and DC’s underlying data is declining.
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.