🏏
CricScout
Player Actions
CompareDirectory

Ishan Kishan

🏏 Top-Order88 cohort134 IPL Matches
Franchises:Gujarat Lions⭐Mumbai IndiansSunrisers Hyderabad
Runs3,600
Batting SR143.5
Bat Avg30.51
High Score106
Career Baseline Statistics(All-Time Volume)
Primary Franchise:Mumbai Indians
Matches134
Innings127
Total Runs3,600
High Score106*
Average30.51
Strike Rate143.5
50s / 100s23 / 1
4s / 6s348 / 166

Batting Scouting Report

Percentiles calculated against 88 qualified Top-Order players (min. 150 balls). Player sample: 2,508 balls faced.

Overall Impact

6 metrics
True Strike Rate (TSR)
+10.073
Boundary %
20.5%66
Balls Per Boundary
4.965
Dot Ball %
36.5%69
Strike Rotation %
43.0%67
Balls Per Dismissal
21.356

Powerplay (0-5)

3 metrics
Powerplay Strike Rate
138.272
Powerplay Boundary %
22.9%69
Powerplay Dot %
46.3%56

Middle (6-14)

2 metrics
Middle Overs Strike Rate
140.166
Middle Overs Dot %
28.9%60

Death (15-19)

3 metrics
Death Overs Strike Rate
189.180
Death Boundary %
28.6%84
Death Dot %
27.7%52
Percentile Legend:Cohort: 88 Top-Orders
90–99 (Elite)
75–89 (Above Average)
45–74 (Neutral Par)
25–44 (Below Average)
0–24 (Vulnerable)
CricScout|cricscout.pages.dev
Official Cricsheet Match Data • Open Data Commons Attribution (ODC-BY 1.0)

Similar Top-Orders

Top 5 closest statistical player profiles in the Top-Order cohort

Euclidean metric proximity (Positional Analytics Model)
76% MATCH

Suryakumar Yadav

Mumbai Indians

🏏 Middle-Order
75% MATCH

Sanju Samson

Rajasthan Royals

🏏 Top-Order
74% MATCH

Jos Buttler

Rajasthan Royals

🏏 Top-Order
71% MATCH

Rishabh Pant

Lucknow Super Giants

🏏 Middle-Order
71% MATCH

Marcus Stoinis

Royal Challengers Bengaluru

🏏 Death Finisher