Rohit Sharma currently has 303 6’s in his name in ODI Matches

Current Highes 6’s record is held by Shahid Afridi with 351, next is Chris Gayle with a count of 331.

Let’s calculate how many matches are required for Rohit to cross the current record count of 351.

in this 2023 cricket World Cup India has to play 6 more matches, the current rate of 6’s for Rohit Sharma is 1.19 per match, and his average rate of hitting 6’s has to increase to a level of 1.33, which means in the remaining 6 matches he has to hit 8 sixes per match, which looks very ambitious.

Watch Rohit Sharma hitting sixes

let’s imagine India reaches the final, which means India has to play 8 matches more to reach the record in this World Cup, which means he has to hit 6 sixes per match.

The probability of Rohit Sharma hitting the all-time most 6’s in international cricket

As of October 15, 2023, Rohit Sharma has hit 428 sixes in 453 matches across all formats of international cricket. The world record for most sixes in international cricket is held by Chris Gayle, who hit 431 sixes in 463 matches.

To calculate the probability of Rohit Sharma reaching the world record of most sixes in the count of number of matches, we can use the following formula:

probability = 1 – exp(-avg_sixes_per_match * (world_record_matches – player_current_matches))

where:

• avg_sixes_per_match is the average number of sixes hit by the player per match
• world_record_matches is the number of matches in which the world record for most sixes was set
• player_current_matches is the number of matches played by the player

To calculate the average number of sixes hit by Rohit Sharma per match, we can divide the total number of sixes he has hit by the total number of matches he has played:

avg_sixes_per_match = 428 / 453 = 0.945

Substituting the known values into the formula above, we get the following probability:

probability = 1 – exp(-0.945 * (463 – 453)) = 0.971

Therefore, the probability of Rohit Sharma reaching the world record of most sixes in the count of number of matches is 97.1%.

It is important to note that this is just a theoretical probability.

Image credit

Bahnfrend, CC BY-SA 4.0, via Wikimedia Commons