ANALYZING POWERPLAYS IN CRICKET
A game of cricket is played between 2 teams with 11 players on each side. The cricket ground is made of 2 concentric circles. Typically, The bowling team is allowed to field 4 fielders in the outer circle. However during a powerplay, the fielding restrictions allow only 2 fielders outside. With this fielding arrangement, the batsmen are encouraged to score at a brisk pace. However, it is often found that in the process of accelerating their run-rate (run scored every 6 balls bowled), the batting ide loses a lot of their batsmen.
The aim of the analysis is to analyze the factors that contribute to success during the powerplay overs.
Tools/ Data Source
I acquired the data through the ESPNCricinfo Website. Manually pulling the data into a CSV file.
The process involved de-duplication of games/teams and scores
I used Tableau for the data analysis and visualization
The graphs below represent the powerplay performance of the teams in the 2011 Cricket World Cup that was held in India. The host nation – India emerged victorious in the tournament
The graph above shows that South Afrika scores maximum runs during the power play overs. However, they lose a lot of wicket too.
In order to see the Powerplay Performance Index, I created a weighted score for number of runs scored per wicket lost and the results obtained are shown below:
India has the maximum runs scores for every wicket lost. Zimbabwe is second with 52 runs for every wicket lost.
ICC Cricket World Powerplay Analysis
Australia won the recently concluded world cup held in Australia/New Zealand. To further analyze the difference between the batting and bowling performance, it is important to understand two concepts:
- Batting/Bowling average: Average number of runs scored during batting/ runs given while bowling
- Run-rate: Average Number of runs scored per 6 balls (1 over)
- Economy Rate: Average number of runs given per 6 balls (1 over)
As can be seen in the graph above, the difference between the batting and bowling average of Australia is maximum. This indicates a better overall powerplay performance
As can be seen in the graph above, the difference between the run-rate and economy-rate of Australia is maximum. This further indicates a better overall powerplay performance
The graph above shows the period during the 50 overs when teams opted for batting/bowling powerplay. In majority of the games, all teams opt for powerplay after or at the 40th over. In a 50-over game, the batting teams usually accelerate the scoring and a powerplay fielding restriction would helps the cause.
The graph above elicits the fastest players during a powerplay. This score is calculated based on the strike rate. A strike rate is the average number of runs per 100 balls. Kevin O Brien from Ireland emerges at the top.
Finally, I analyzed AB Devillers performance against West Indies when he scored the fast century (10o runs) in cricket. Surprisingly, a part-time bowler, Gayle was the most economical bowler.
- Batting is not the only determining factor for powerplay performance
- Australia has the maximum difference between the runs scored and runs given during powerplay
- Australia scores at a faster rate and provide runs at the best economy
- Bowling the main bowlers doesn’t necessitate best powerplay bowling