Mumbai Indians, players trade strategy

While the West Indies team that won two World Cups in 2012 and 2016 was widely regarded as the first international T20 dynasty, by 2019 they were, by many, eclipsed by Mumbai Indians as the biggest side of the T20s.

By the end of 2010, the IPL was often considered the highest standard of T20 outside of a few select matches between the strongest sides of international cricket. Australia, India, England and – when full strength – the West Indies. The combination of an open market, India’s huge talent pool and the wealth of IPL sides. Means that the league’s best sides will be considered favorites against most international teams.

In the 2019 IPL final, with a one-run win over Chennai Super Kings, Mumbai sealed their fourth IPL crown in seven years to go with their two Champions League titles. The premise of this notable stop is Mumbai’s ability to navigate the trade-offs faced by T20 teams across the globe.


From their 2017 and 2019 title wins, it was impossible to say whether Mumbai was a batting team or bowling team – they were both. Franchise planned to trade best batsmen and bowlers from domestic players. Avoiding this trade, Mumbai created a notable side.

The foundation of any great team is the composition of their team. By 2019, the Mumbai squad has overcome balanced bat and ball, pace and spin, youth and experience, attack and defense, home dominance and compatibility.

The Mumbai trade-off squad had its roots in 2010, when the franchise had the vision to set up a scouting network consisting of six scouts. Headed by former India and Mumbai head coach John Wright from 2015. The network was surprisingly effective. On identifying talented young talent. The biggest success story was that of 19-year-old Jasprit Bumrah. Who dropped out of age-group cricket in Gujarat before leading the world’s best Tejas and the Mumbai fast attack.

All Rounders
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All-rounders Hardik and Krunal Pandya were also products of Mumbai’s scouting and will also be integral to the Mumbai team. A stellar list of players discovered by Pandya Bandhu and Bumrah Scout were the three title recruits. Mumbai also credited its network to Yuzvendra Chahal, Mayank Markande, Rahul Chahar, Shreyas Gopal, Suryakumar Yadav, Kuldeep Yadav, Axar Patel and Nitish Rana. This stellar group – all identified by Mumbai, although some later concluded for different franchises – had dividends on Mumbai’s scouting investment.

By identifying high quality Indian players early in their development. Mumbai effectively found a way for players to pay below the right market price. This freed the budget to spend elsewhere, enabling them to chase more demanding Indian players. Such as Rohit Sharma in the 2011 auction that would become team captains and figureheads. Foreign players, including Kierron Pollard and Lasith Malinga, have been associated with Mumbai Indians for last 10 years.

Franchise identified the main strength of focus should be on Indian players, as they are very good in middle order batsmen and spin bowlers. Once he exploited the domestic supply chain through his scouting network. He complemented this Indian core with foreign players who had filled gaps with skill-sets that were difficult to find in the Indian market.

Last 12 years
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The franchise’s commitment to the idea was such that, in the first 12 years of the IPL. They contracted only two specialist foreign spinners: Robin Peterson of South Africa and Aquila Dananjaya of Sri Lanka. Nor did he throw more than ten overs for the club. This strategy demonstrated how good the Indian spinners were – it was not worth using a foreign pick on them.

Instead, Mumbai concentrated its foreign picks on three types of players easily produced in India. First, he targeted powerful top-order batsmen such as Dwayne Smith, Jose Butler, Evin Lewis, Quinton de Cock and Chris Lynn. Second, he recruited hard-hitting finishers – Pollard, Glenn Maxwell and Ben Cutting. Most importantly, for overseas overs, Mumbai particularly had left-handed batsmen who could bowl with the new ball and at the time of death overs. Mitchell McLaghan, Mitchell Johnson, Jason Behrendorff, Mustafizur Rahman and Trent Boult.

The only incurable hole in the Mumbai team after the 2019 auction was the lack of an off-spinner. Mumbai reminded that Smart is bringing Jayant Yadav from Delhi Capital, with post-auction trade. Yadav was an infallible bowler, but Mumbai admitted that he could play an important role.

The creation of such a well-rounded squad with excellent dissemination skills and a healthy blend of youth and experience provides Mumbai with an excellent base. Mumbai has very strong all rounders, Pollard, Hardik and Krunal, which increased the batting middle order and death overs. This trio gave Mumbai the basis for finding a way to avoid the trade-offs inherent in building a T20 side.

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His Indian batting prowess, led by Rohit, means that Mumbai often feel the need to use an overseas spot on only one batsman, usually an opener. With Pollard’s all-round skills, Mumbai could dedicate two spots to the overseas fast bowlers. Malinga, partnered by the new ball specialist.

The small boundary and true pitch at Wankhede meant Mumbai’s home conditions were favored by fast bowlers. Making the acquisition of Malinga and Bumrah very important. Mumbai will play only two spinners at home. Instead Mumbai scored fast with their elite quick sandwich spin overs from Krunal and another spinner.

Yet Mumbai had the spin resources and practicality to adapt when needed. No team won their match against Chennai Super Kings except Mumbai in the 2019 IPL – and Mumbai won twice there. Compared to the other six incoming teams, Mumbai changed the amount of overs with Chennai spinners more than their previous match. Ultimately, he recognized a significant difference in the conditions presented by Chepauk and changed his bowling strategy accordingly. Kuldeep yadav was traded from Chennai to increase spin strength. He played only two matches in 2019 but contributed to the win both times, taking advantage of favorable match-ups and conditions.

Such flexibility was evident in the strategy of the entire Mumbai. Mostly his team was settled but a couple spots were rotated. This marriage of stability and flexibility saw Mumbai take advantage of the continuity of selection, taking advantage of match-ups and favorable conditions.

Batting Order
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Mumbai can be fanatical with their batting order, pinching McClenaghan and Harbhajan Singh. Even two of his most famous batsmen were used flexibly. Rohit’s position constantly changed between opening and middle order depending on the team’s needs. In Mumbai’s four IPL final victories, he was used as an opener in four, then three, then four and again. Pollard was similarly used cleverly, batting as low as four or as low as number eight.

The boundary-hitting, which suited the high-scoring Wankhede, was the focus of Mumbai’s batting. But the players also had the prudence to adapt. Dynamic Ishaan Kishan scored 28 off 31 balls on a slow. Low Chennai pitch in the 2019 qualifier and then scored 23 from 26 in the final in another low-scoring match. Both innings were ranked by Crickwicz as a minor negative contribution. But the way he moderated on his natural instinct described his ability to develop and both would have suffered more damage should he be out early. Had gone.

The bowling attack of Mumbai was similarly complemented. Malinga and Bumrah were the highest death over bowlers, while Krunal was a superb defensive spinner who could work in the powerplay. These three combined to lock up 12 of Mumbai’s 20 overs, forcing teams to take the remaining bowlers. Attacking McClenaghan and Behrendorff or fast bowlers like wrist spinners Chahar and Markande. These bowlers were often expensive – but took regular wickets. This combination of attack and defensive prowess made it difficult to counter Mumbai’s 20 overs. The deployment of Mumbai’s excellent squad and practical. Open mind meant that he built a team to win in all the fights and in innumerable ways in different ways.

More than any other team in the first 17 years of T20, Mumbai defined trade-offs.

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