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IPL Anaytics
The document analyzes the Indian Premier League (IPL) from 2008 to 2016, focusing on player and team performance, including statistical models and rankings. It highlights key players, with Virat Kohli being a standout batsman in the 2016 season and Bhuvneshwar Kumar leading as a bowler. The analysis shows improvements in average runs for opening and middle-order batsmen in recent seasons, suggesting a trend in player performance.
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IPL Anaytics
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- 2. TEAM HAARIS ANMOL ANIMESH ADITYA ANUNAY ‣ We Believeevery team has dream of winning the final cup or trophy the dream becomes their goal and that goal is achieved only by planned action for unfavourable scenarios.
- 3. INDEX Introduction Season wise Analysis Playerwise Analysis Team wise Analysis Model Player Rankings Player Segmentation Key Takeaway Conclusion
- 4. ‣ IPL isa professional Twenty20 cricket league in India contested during April and May of every year by teams representing Indian Cities. ‣ Founded by BCCI and it is now the most attended cricket league in the world and ranks sixth among all sports league. ‣ In 2010 ,the IPL became the first sporting event in the world to be broadcasted live on YouTube. QUICK FACTS
- 5. Data Consist Of ‣Data of 9 IPL Seasons from 2008 to 2016 ‣ Ball by Ball details of 577 matches ‣ Match details ‣ Player details ‣ Season wise best performers
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- 8. Team Data PlayerMatch
- 9. SEASON Top 10 Batsmenin last 9 Seasons ‣ Out of top 10 batsmen 7 are Indians ‣ Rains and Kohli are on the top when it comes to scoring ‣ M S Dhoni is more consistent in scoring runs
- 10. Top 10 Batsmenon the basis of Average Runs
- 11. Stadium wise winpercentage
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- 13. TEAM Team performance acrossdifferent Stadium Dark colour indicates most numbers of wins on that ground
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- 21. Results The first componentexplains 72.36%of the variation in the data V Kohli was the top batsman in 2016 season followed by David Warner and AB de Villiers As V Kohli and A B De Villiers were among the top 3 batsmen of 2016 season ,they were retained by RCB for the 2017 season R G Sharma and DA Warner were retained by their respective teams.
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- 24. Results The first component explains 62.61%of the variation in the data. B Kumar was the top bowler in the 2016 season
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- 28. Results ‣ The cluster3 is the one which has batsmen of the highest caliber followed by cluster 1. ‣ The cluster 2 has batsmen with lowest caliber . ‣ The R-squared is computed as ratio of Between Cluster Variability to total Variability was found to be 64.7% ‣ AB De Villiers ,Virat Kohli and David Warner belong to the 3rd cluster which can be though as the Premium players.
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- 31. Results ‣ Thecluster 1 is the one which has bowlers of the highest caliber followed by cluster 2. ‣ The cluster 3 has bowlers with lowest caliber ‣ The R-squared is computed as ratio of Between Clusters Variability Of total Variability was found to be 64.2% ‣ As seen B Kumar, A Zampa and Y Chahal are included in cluster 1 as they were among the top 10 bowlers in 2016
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- 33. DATA SNAPSHOT Data foropening batsmen for last 5 years and current 4 years . Similarly we have sliced batsman_scored data for 6th and 7th order batsman.
- 34. CONCLUSIONS ▸ The averageof opening batsmen in last four season (47.79)is significantly higher than the first five Season(41.79) . ▸ The average of middle order batsmen in last four season (21.64 )is significantly higher than the first five Seasons (19.95). ▸ The average of lower middle order batsmen in last four season (12.76)is slightly higher than first five Seasons (12.74).
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