🏏
CricScout
Player Actions
CompareDirectory

Mohammed Shami

🎯 Powerplay Specialist87 cohort132 IPL Matches
Franchises:Delhi CapitalsGujarat TitansKolkata Knight RidersLucknow Super Giants⭐Punjab KingsSunrisers Hyderabad
Wickets145
Economy8.66
Bowl SR20.1
Best Bowl4/11
Career Baseline Statistics(All-Time Volume)
Primary Franchise:Punjab Kings
Matches132
Innings134
Wickets145
Best Figures4/11
Average29.08
Economy8.66
Strike Rate20.1
4w / 5w2 / 0

Bowling Scouting Report

Percentiles calculated against 87 qualified Powerplay Specialist players (min. 120 legal balls). Player sample: 2,920 legal balls bowled.

Overall Impact

6 metrics
True Economy Rate (TER)
+0.3447
Economy Rate
8.6647
Bowling Strike Rate
20.166
Dot Ball % Bowled
42.0%54
Boundary Conceded %
21.0%44
Extras Per Over
0.3437

Powerplay (0-5)

3 metrics
Powerplay Economy
7.7455
Powerplay Dot %
51.6%78
Powerplay Wicket Strike Rate
27.630

Middle (6-14)

2 metrics
Middle Overs Economy
8.6040
Middle Overs Wicket Strike Rate
31.433

Death (15-19)

3 metrics
Death Overs Economy
10.8246
Death Boundary Conceded %
24.0%47
Death Wicket Strike Rate
10.783
Percentile Legend:Cohort: 87 Powerplay Specialists
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 Powerplay Specialists

Top 5 closest statistical player profiles in the Powerplay Specialist cohort

Euclidean metric proximity (Positional Analytics Model)
83% MATCH

Umesh Yadav

Royal Challengers Bengaluru

🎯 Powerplay Specialist
82% MATCH

Trent Boult

Sunrisers Hyderabad

🎯 Powerplay Specialist
76% MATCH

Deepak Chahar

Rising Pune Supergiant

🎯 Powerplay Specialist
76% MATCH

Dhawal Kulkarni

Rajasthan Royals

🎯 Powerplay Specialist
76% MATCH

S K K Ahmed

Sunrisers Hyderabad

🎯 Powerplay Specialist