I very quickly said that Rahane hand only the 65th best strike rate in the IPL the other day, and while that is true it made me want to dig into his stats a little more. Strap in KKR fans as this might not be the easiest read..

#IPL26 #KKRvPBKS

https://twitter.com/ErikaMorris79/status/2039806921234956700

Let’s actually look at the phase he sees as his strength, that being the power play . To do this I have looked at the batting data for 2024-2026 to do and where someone has faced more than 100 balls in the power play. This brought back 31 players in total.

Well #IPL2026 is almost upon us and as usual I’ve been looking into the data and seeing what insights it tells us. If you don’t like IPL & data I suggest you look away now 😆 for those that do buckle up as it’s a long ride.
Firstly a few of the parameters I used to do this For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

With both teams seemingly in a transition period the outcome of an #ENGvIND series has never been so open. I’ve been looking into the data and seeing what insights it tells us. Firstly detail of a few of the data parameters I used to do this #ENGvWI For all players their career first class figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

With the #HBLPSLX starting in the next few days I’ve been looking into the data and seeing what insights it tells us. If you don’t like T20 & data look away now. Firstly detail of a few of the data parameters I used to do this. For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

Following the mega auction for #IPL2025 I’ve been looking into the data and seeing what insights it tells us. If you don’t like IPL & data I suggest you look away now  for those that do buckle up as it’s a long ride. Firstly a few of the parameters I used to do this For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used #IPL2025

After a successful first few years of #SA20 and with the 3rd season starting soon I’ve been looking into the data and seeing what insights it tells us. If you don’t like T20 & data look away now. Firstly detail of a few of the data parameters I used to do this. #SAvPAK For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

With the #BCCI finally releasing the #IPLAuction2025 list – annoyingly one day before I go on holiday thanks BCCI!, I’ve done a little analysis to see what trends the narrowed down auction list is showing us Firstly let’s see what each of the 10 franchises look like going into the #IPLAuction2025 . PBKS need to build a brand new team with just 2 retained players and 23 slots left to fill. On the other end of the scale RR have 19 slots left and may need to play tactically.

After a somewhat one sided #IPLFinal that saw KKR become 3 time champions, but were they statistically the best team? Lets talk a look at what has been a superb #IPL2024 where records have been broken time and time again First up is the teams batting averages. This graph shows the tournament average and the difference to the team’s avg pre-tournament. KKR top this with an average 6.78 higher than their career, infact only GT, MI and RCB were lower #IPLfinal

With the excitement for the #IPL2024 building I’ve been looking into the data and seeing what insights it tells us. If you don’t like IPL & data I suggest you look away now  for those that do buckle up as it’s a long ride.
Firstly a few of the parameters I used #WPL2024 For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used #IPL2024

With the #BCCI finally releasing the #iplauction2024 list I’ve done a little analysis to see what trends the data is showing us. The first part of this thread is auction data analysis and the 2nd part my view of what each time should be targeting for #IPL2024 . Buckle up.. Firstly let’s see what each of the 10 franchises look like going into the #iplauction2024 . KKR are almost having to build a brand new team with just 13 players and 12 slots left to fill. On the other end of the scale SRH, RCB, CSK and LSG have just 6 and may play tactically.

With the excitement for the #CWC2023 building I’ve been looking into the data and seeing what insights it tells us. If you don’t like T20 & data look away now as it’s a long ride. Firstly detail of a few of the data parameters I used to do this. For all players their career ODI figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

With the start of #thehundred just around the corner I’ve taken my usual look through the data and what it’s telling us. This thread is for the Womes comp, my thread for the mens can be found in the last tweet.
Firstly detail of a few of the data parameters I used to do this For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

With the latest season of the #Blast23 starting soon I’ve been looking into the data and seeing what insights it tells us. If you don’t like T20 & data look away now as it’s a long ride. Firstly detail of a few of the data parameters I used to do this. For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used #Blast23

With the excitement for the #IPL2023 building I’ve been looking into the data and seeing what insights it tells us. If you don’t like IPL & data I suggest you look away now 👀 for those that do buckle up as it’s a VERY long ride with some new aspects analysed. For all players their career T20 figures were used, those who haven’t played aren’t displayed
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used

After such a long wait the #WPL2023final didn’t fail to deliver, overall the tournament has been a great success and certainly captured new fans. Mumbai Indians took the trophy but were they statistically the best team? Lets talk a look.. First up is the teams batting averages and this graph shows the tournament average and the difference to the team’s average pre-tournament. No surprise MI batters actually managed to outperform their career averages by 15.16, GG disappointed in #WPL2023 at 1.27 below their avg

After the mammoth #IPL2022 has finally finalised, I have taken a look at how the teams measured up against their pre-tournament stats. The first part of this thread is a deep dive into each team followed by some country, age and bowling type stats Firstly detail of a few of the data parameters I used to do this.
Team battings averages - the figures for batters, wicket keepers and all-rounders have been used
Teams bowling averages - the figures for bowlers and all-rounders have been used
#IPL2022

Despite England’s poor red ball form there is some serious anticipation for the #CountyChampionship starting.
I’ve been looking at data and as usual I have summarised in a thread but I warn you, it is a deep thread…
Firstly detail of a few of the data parameters I used For all players their career First Class figures have been used

Team battings averages - the figures for batters, wicket keepers and all-rounders have been used

Teams bowling averages - the figures for bowlers and all-rounders have been used.

With excitement for the #IPL2022 building I’ve been looking into the data and what it tells us. If you don’t like IPL & data I suggest you look away now, for those that do buckle up as it’s a long ride.
The first half of this shows overall stats then a deep dive on each team. We start with looking at makeup of each franchise. There is a growing focus on all-rounder’s, 45% of the MI and PBKS squad are ALR. SRH however have 43 % of their squad as bowlers, are they going with the ‘batters win you games, bowlers win you tournaments’ approach? #IPL2022

After getting hold of the #IPL auction list in excel, I’ve pulled a few interesting (if your a cricket and data geek) trends out of there. This thread will show you a few of these….
#IPLAuction #IPL2022MegaAuction The average age of the players in the auction is 26yrs old. The youngest is 17 and oldest is 43. Extra geek points for naming them both… #IPLAuction #IPLAuction2022 #IPL2022