Five Data lessons from IPL 2019
My passion for data and cricket meant it was only natural for me to analyse certain KPIs of 2019 and determine if there was a pattern or insight i could draw. the KPIs i took into consideration were
1) # of players with more than 400 runs
2) Highest batting strike rates
3) Best bowling economy rates
4) Best bowling strike rates
5) Teams with most catches
6) Teams with highest batting partnerships
7) # of players with at least 10 wickets are more
Here are my five key data lessons:
1) The best indicators to determine if a team can reach the last four in IPL are those teams whose distribution of players across these 7 dimensions are more uniform. For ex. RCB had most players with highest strike rates but fared badly in certain other dimensions. MI had the most consistent performance across these 7 KPIs which meant they qualified at the top of the final four.
2) Teams with the most number of highest batting partnerships do not necessarily qualify for the top four. For ex, MI did not have one single partnership of more than 100 in the tournament while the teams that fell to the bottom 4 had some of the highest batting partnerships
3) Better performance on bowling KPIs is definitely a better indicator of getting a final four rating compared to better batting KPIs. For ex. CSK had relatively poor batting KPIs and higher bowling KPIs, while RCB, KXP had better batting KPIs but still couldn't make it to the top 4 due to poorer bowling KPIs.
4) Teams with a higher catching conversion percentage and more importantly holding on to more catches on an absolute basis seem to have greater chances of hitting the top 4. CSK and Delhi Capitals are great testimonials to that indicator.
5) Bowling strike rates (Balls/ wicket) seem to have the most direct co-relation in being able to predict chances of hitting the top 4. The teams with the highest number of bowlers with better strike rates have a much greater chance of qualifying for the top 4, compared to teams which have better strike rates amongst batsmen. RCB is a good example where it had 3 batsmen (Kohli, Moeen, ABD) with much better strike rates but couldnt make it to the top 4.
The world cup this year is played in a similar format as the IPL and hence these lessons are worth taking a closer look as that will give us a good idea of who will make it to the top 4. I will keep you posted on my predictions for the world cup over the next one week.
.....Venky......
My passion for data and cricket meant it was only natural for me to analyse certain KPIs of 2019 and determine if there was a pattern or insight i could draw. the KPIs i took into consideration were
1) # of players with more than 400 runs
2) Highest batting strike rates
3) Best bowling economy rates
4) Best bowling strike rates
5) Teams with most catches
6) Teams with highest batting partnerships
7) # of players with at least 10 wickets are more
Here are my five key data lessons:
1) The best indicators to determine if a team can reach the last four in IPL are those teams whose distribution of players across these 7 dimensions are more uniform. For ex. RCB had most players with highest strike rates but fared badly in certain other dimensions. MI had the most consistent performance across these 7 KPIs which meant they qualified at the top of the final four.
2) Teams with the most number of highest batting partnerships do not necessarily qualify for the top four. For ex, MI did not have one single partnership of more than 100 in the tournament while the teams that fell to the bottom 4 had some of the highest batting partnerships
3) Better performance on bowling KPIs is definitely a better indicator of getting a final four rating compared to better batting KPIs. For ex. CSK had relatively poor batting KPIs and higher bowling KPIs, while RCB, KXP had better batting KPIs but still couldn't make it to the top 4 due to poorer bowling KPIs.
4) Teams with a higher catching conversion percentage and more importantly holding on to more catches on an absolute basis seem to have greater chances of hitting the top 4. CSK and Delhi Capitals are great testimonials to that indicator.
5) Bowling strike rates (Balls/ wicket) seem to have the most direct co-relation in being able to predict chances of hitting the top 4. The teams with the highest number of bowlers with better strike rates have a much greater chance of qualifying for the top 4, compared to teams which have better strike rates amongst batsmen. RCB is a good example where it had 3 batsmen (Kohli, Moeen, ABD) with much better strike rates but couldnt make it to the top 4.
The world cup this year is played in a similar format as the IPL and hence these lessons are worth taking a closer look as that will give us a good idea of who will make it to the top 4. I will keep you posted on my predictions for the world cup over the next one week.
.....Venky......
