Ipl Win Probability – Home » Cricket Home » News » IPL 2020: Four-time champion, wickets scored by Lasith Malinga and Kieron Pollard’s strike rate – numbers set MI
IPL 2020: Four-time champions, Lasith Malinga’s wicket-taking record and Kieron Pollard’s strike rate – the numbers that define MI
Ipl Win Probability
As the 13th edition of the Indian Premier League (IPL) gets underway in the UAE from September 19, we take a look at some interesting numbers and records for Mumbai Indians.
Winning Probability Of Ipl 2023
As the 13th edition of the Indian Premier League (IPL) gets underway in the UAE on September 19, we take a look at some interesting numbers and records for each of the eight participating teams.
In this article we take a look at some of the statistics that explain the performance of the most successful team in the history of IPL – Mumbai Indians.
4: Number of IPL titles. MI won the IPL in 2013, 2015, 2017 and 2019. It is the most successful IPL team in history. Interestingly, MI seems to be following a pattern of winning the title every year starting from 2013. They will have to break that streak to lift this year’s trophy! Overall, MI have won their last 5 matches and won 4 of them.
58.29%: Match winning percentage in the Indian Premier League. MI is No. 2 in match winning percentage. CSK has the highest winning percentage in IPL history.
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76%: Best win percentage (minimum 10 matches) against the team (against KKR). MI dominated their contest against KKR – two-time IPL champions and heavyweights in the tournament – winning 19 out of 25 matches against them.
60.71%: Winning percentage against CSK. MI also managed the second most successful franchise, with CSK winning 17 out of the 28 matches between the two sides. CSK has the highest winning percentage, best record in the playoffs and is the most consistent team in IPL history. It is commendable that MI can boast of such a record against CSK and KKR.
70.59%: The highest winning percentage in one season (2017). MI won 12 of their 17 matches in 2017 and went on to lift the trophy.
35.71%: Lowest winning percentage in one season (2009). MI won only five of their 14 matches in 2009.
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8/12: Number of entries into the qualifiers. MI has managed to reach the finals in 8 out of 12 IPL? 2010 to 2015, 2017 and 2019.
187: Highest number of matches in the history of the Indian Premier League. No team has played more in the month of March in the IPL than MI.
223/6: Highest total (against Kings XI Mumbai in 2017). Despite Kieron Pollard’s unbeaten blitz of 50 off 24 deliveries and Hardik Pandya’s 30 off 13, MI fell short of the 231-run target set by Kings XI in Mumbai in 2017. It is the lowest team score for the franchise in IPL (and RR) history.
4/10: Highest team totals vs. DD. 4 of MI’s total 10 runs in IPL came against Delhi Daredevils.
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87 final: lowest total (vs SRH in Mumbai in 2018 and Kings XI in Mohali in 2011)
146: Huge margin (vs DD Delhi in 2017). MI scored 212 for 3 with fifties from Lendl Simmons and Pollard. An excellent all-round display with the ball helped them bowl out the Daredevils for a paltry 66 giving MI a massive 146-run win. It’s the biggest margin of victory for any franchise in IPL history!
Round 1: Smallest margin of victory (against Warriors in Pune in 2012, RPS in Hyderabad in 2017 and CSK in Hyderabad in 2019)
2: Number of regular matches (against Gujarat Lions in Rajkot in 2017 and SRH in Mumbai in 2019). MI won both matches by one disqualification.
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5: Number of successes in launching the last offer. Four of those wins (two each) came in 2011 and 2012.
39.96: Best batting average (minimum 500 runs) – Lendl Simmons. Simmons has scored 1,079 runs for MI in 29 matches in the IPL. He was MI’s top run-scorer for two consecutive seasons in 2014 and 2015. In 2015, he amassed 540 runs in 13 innings including 6 fifties and was the third highest run-getter in the tournament and played an important role in MI’s title run. He was the top scorer in the final against CSK with 45 balls and 68.
34.83: Highest batting average (Indian batsman) – Sachin Tendulkar. Tendulkar has scored 2334 runs in 78 matches for MI and is playing the role of an accumulator as evidenced by his strike rate of 119.81.
154.78: Highest Run Average – Hardik Pandya. Pandya has a higher strike rate in IPL for MI than Kieron Pollard (146.77).
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4: Number of majors for MI in IPL. Jayasuriya, Tendulkar, Simmons and Rohit Sharma scored a hundred each.
114*: Highest individual score in a match – Sanath Jayasuriya (vs CSK Mumbai in 2008). Jayasuriya made 114 off just 48 deliveries to hit 11 sixes in his power-packed innings.
346.15: Highest strike rate in over 30 innings – Kieron Pollard (vs DD Mumbai in 2010). Pollard made an unbeaten 45 in just 13 overs hitting 5 sixes.
13: Highest innings over 200 runs and batting average (minimum 25 runs) – Kieron Pollard. Two of these bowlers have strike rates over 300 and 3 between 250 and 300. MI won 9 of these 13 matches (69.23%). Interestingly, Hardik Pandya produced 10 such runs and MI won 6 matches, i.e. 60% success rate.
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618: Highest total in the series – Sachin Tendulkar (2010). Tendulkar was the leading run-getter in the 2010 edition with 618 runs in 15 innings at a strike rate of 132.61. Surprisingly, Tendulkar also has the second highest total for MI – he scored 553 runs in 16 matches in 2011.
170: Most wickets taken – Lasith Malinga. Malinga is the leading wicket-taker in IPL history with 170 wickets in 122 matches at a strike rate of 16.6 and an economy rate of 7.14.
6-12: Best bowlers of the innings – Alzarri Joseph (against SRH Hyderabad in 2019). These are the best numbers in IPL history!
8: Fewest runs allowed in a full 4 overs session – Mitchell Johnson (vs Pune Warriors in Pune 2013)
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58: Most kicks conceded in a full 4 overs session – Lasith Malinga (v Kings XI Indore 2017)
167*: Highest partnership for MI for any wicket – Herschell Gibbs and Rohit Sharma (versus KKR in Kolkata in 2012). Rohit Sharma has featured in 3 of MI’s top 5 partnerships in the IPL.
104: Most matches as captain – Rohit Sharma. Only Dhoni (174), Gautam Gambhir (129) and Virat Kohli (110) have won the franchise in more matches.
59.62%: Rohit Sharma’s success rate as MI captain. Rohit has led MI to wins in 62 (including two combined matches) out of the 104 matches in charge of the franchise. It is the highest win percentage of any MI captain and the second best ever (minimum 30 matches as captain) behind Dhoni (60.11%).
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Nikhil Narain is a Senior Copy Editor with over eight years of experience in the digital and media industry, having worked at Cricbuzz,… Read More I have created version 1.0 of the Win Probability Model for the Indian Premier League (IPL), the cricket league Famous local, using cricket data in R. As I explain the model, please suggest any potential changes as there are limitations associated with my model that I am about to explain.
Using train data from 2008 to 2020 and test data from 2021 to 2023 (resulting in an estimated ratio of 80:20), I put together very simple calculations implemented in the winning model. In the first innings, there were only three things: runs scored, wickets out, and balls left. The second innings consisted of similar things but had more runs to chase down the target then. The win statistics produced by two different XGBoost models using different parameters (which can be better adjusted as I develop statistical knowledge with other information) are combined by game and turns to get the added win probability. On the first ball of each round, it is clear that no previous ball has an additional chance of winning. Logically, this problem was solved in the second innings where the previous winning chance before the first ball was set as 1 – the winning chance set by the last ball of the first innings. However, it was not easy to prepare the first roles. Finally, though this will need improvement, considering that we are only using game-based factors and not anything related to team/player strength or factors like home advantage, perhaps before the first innings and the first match as a match. The total was chosen to be 50% for each group. However, adding conditionals can be a good start to finding the right form. The probability of a hit added by a batsman is the probability of hitting the ball for relief. So I looked
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