Best batter ratingSK Raina95.7 win contribution rating
Best bowler ratingJJ Bumrah90.5 win contribution rating
Top MVPAB de Villiers86.6 MVP rating · 25 awards
Rating method
Best batter and best bowler recalculate from active filters. Batter rating blends runs in wins, win run share, strike rate, average, and chase performance. Bowler rating blends wickets in wins, economy in wins, bowling strike rate, total wickets, and defense when protecting a target.
Match Outcome Dial
A quick visual split of chase vs defend wins for the active filter combination.
53.0%
Chase wins: -
Defend wins: -
Total visible matches: -
Storyline Composer
Live narrative from your current filters to help pitch insights fast.
Apply filters to generate a contextual storyline.
Player leaderboards
Switch between win-contribution ratings and traditional career totals for the filtered slice.
Batter — win contribution
Bowler — win contribution
Classic totals and rates (runs, wickets, strike rate, economy) for the same filter set — sorted like standard cricket stats tables.
Batter — traditional
Bowler — traditional
Match patterns and contextual edges — toss decisions, phase control, season trends, venues, and chase/defense specialists.
Surprising insight
The toss itself is almost neutral at 50.5%, but the decision after winning it matters: field-first toss winners won 53.7% versus 44.3% for bat-first toss winners. Separately, Death Overs has the biggest winner-loser run-rate gap (1.92 RPO).
Toss questionOverall toss advantage is weak; toss decision explains more.
Phase questionDeath overs create the widest run-rate separation.
Player questionLongevity leaders and high-impact specialists both surface in the rankings.
Toss is neutral, decision is not
Overall toss win rate50.5%
Toss winner also won the match — close to a coin flip at 50.5%.
Field first after toss53.7%
When the toss winner chose to bowl first, they went on to win this often.
Bat first after toss44.3%
When the toss winner chose to bat first, they went on to win this often.
Takeaway: Winning the toss alone adds little edge. What you do after winning it — especially fielding first — lines up much better with winning.
Phase run-rate chart uses full dataset (ball-by-ball phase splits are not filterable in-browser).
Powerplay0.99 RPO
Winner RR 8.55 vs loser RR 7.57
Middle Overs0.99 RPO
Winner RR 8.43 vs loser RR 7.44
Death Overs1.92 RPO
Winner RR 11.09 vs loser RR 9.17
Season trend chart is fixed at full dataset; conclusion below updates with your filters.
Conclusion:
On average, chase win rate is 53.4% while toss-winner win rate is 50.7%, a gap of 2.7 percentage points in favor of chasing conditions.
Chasing outperformed toss-win impact in 12 of 19 seasons, and chase effectiveness has improved over time.
Practically: the toss matters, but match context and chasing execution usually matter more.
Most chase-friendly venues
Chase win % means the share of decided matches at that venue won by the team batting second. A 68% venue means chasing teams won roughly 68 out of every 100 decided matches there. Venues below use a minimum threshold of 15 decided matches.
What this shows: Each IPL match split into three mini-games — Powerplay (1–6), Middle (7–15), Death (16–20). Run-rate gap (RPO) is winner run rate minus loser run rate in that phase; a higher gap means winners pull away more there. Wickets/inn shows whether the phase was won by scoring or by taking wickets.
PowerplayOvers 1–6
Run-rate gap0.99 RPOWinner RR 8.55 vs loser RR 7.57
Winner wkts/inn1.09
Loser wkts/inn1.81
Measures how much faster winners score than losers early. A 1.0 RPO gap means winners score about 6 extra runs per 6-ball over in this phase.
Middle OversOvers 7–15
Run-rate gap0.99 RPOWinner RR 8.43 vs loser RR 7.44
Winner wkts/inn1.83
Loser wkts/inn2.76
Shows control between the powerplay and death. Winners keep scoring while limiting wicket loss in the middle.
Death OversOvers 16–20
Widest gap
Run-rate gap1.92 RPOWinner RR 11.09 vs loser RR 9.17
Winner wkts/inn1.58
Loser wkts/inn2.76
The finish — highest gaps here mean matches are decided in the closing overs, not the start.
Chase Master And Defense Master
Chase rating highlights batters who repeatedly drive successful chases. Defense rating highlights bowlers who repeatedly close out defended totals. Updates with match filters.
Chase master
Chase rating
Chase runs
Chase SR
Chase Avg
Matches
DA Warner
99.53
1,778
154.74
65.85
184
V Kohli
97.89
2,679
141.90
63.79
268
S Dhawan
96.42
2,159
132.78
61.69
221
JC Buttler
96.07
1,598
157.75
53.27
129
SR Watson
95.26
1,626
151.96
47.82
141
G Gambhir
95.00
1,972
124.03
51.89
151
SK Raina
94.29
1,825
138.36
42.44
200
Shubman Gill
93.72
1,620
137.76
54.00
123
RG Sharma
93.44
2,102
131.95
42.90
271
CH Gayle
93.22
1,474
152.27
64.09
141
Defense master
Defense rating
Defend wkts
Defend eco
Wkts in wins
Matches
JJ Bumrah
90.27
65
6.23
116
155
SL Malinga
89.74
68
6.53
122
122
Harbhajan Singh
84.20
65
6.56
103
160
A Mishra
81.04
56
6.47
101
162
R Ashwin
80.31
67
6.24
115
217
YS Chahal
78.50
69
7.72
131
181
MM Sharma
75.70
64
7.57
101
119
Rashid Khan
74.57
51
6.68
97
146
RA Jadeja
73.36
58
7.07
124
233
DJ Bravo
71.20
60
7.77
115
158
Player-of-the-Match awards under your filters — who repeatedly delivers on the biggest stage and how often their team wins when they star.
MVP spotlight
Composite rating blends total MOM awards, share of MOMs in winning teams, and volume of winning-team performances.
AB de Villiers
25 MOM awards · 96.0% in wins · 86.6 rating
MVP method
MVP rating = 45% award volume + 30% win-team rate + 25% winning-team MOM count. Updates live with season, team, venue, toss, and result filters.
When a team filter is active, only MOM performances for that franchise are counted.
MVP leaderboard
Ranked by composite MVP rating for the active filter slice.
MOM awards by team
Which franchises collect the most Player-of-the-Match honours in the filtered match set.
Momentum under your filters — longest winning runs, hot player spells, and whether wins were driven more by batting or bowling.
Streak analysis
Team win streaks
Longest consecutive wins in the filtered match set. Updates when you change season, team, venue, or result filters.
1
Kolkata Knight Riders
Win streak10
2
Punjab Kings
Win streak8
3
Chennai Super Kings
Win streak7
4
Royal Challengers Bengaluru
Win streak7
5
Rajasthan Royals
Win streak6
6
Mumbai Indians
Win streak6
7
Sunrisers Hyderabad
Win streak6
8
Delhi Capitals
Win streak5
9
Deccan Chargers
Win streak5
10
Gujarat Titans
Win streak5
Player streak tables use full career dataset when filters are active.
Batter 50+ streaks
Most consecutive matches with a 50+ score, plus career 50+ count.
1
DA Warner66 total 50+ scores
Best streak5
2
JC Buttler33 total 50+ scores
Best streak5
3
V Sehwag18 total 50+ scores
Best streak5
4
V Kohli75 total 50+ scores
Best streak4
5
S Dhawan53 total 50+ scores
Best streak4
6
F du Plessis39 total 50+ scores
Best streak4
7
Ishan Kishan22 total 50+ scores
Best streak4
8
KS Williamson18 total 50+ scores
Best streak4
9
N Pooran15 total 50+ scores
Best streak4
10
P Simran Singh13 total 50+ scores
Best streak4
Player streak tables use full career dataset when filters are active.
Bowler hot spells
Longest runs of 2+ wickets per match and sub-6 economy matches.
1
K Rabada1 matches under 6 economy
2+ wkt streak10
2
SL Malinga5 matches under 6 economy
2+ wkt streak8
3
PP Chawla5 matches under 6 economy
2+ wkt streak6
4
HV Patel3 matches under 6 economy
2+ wkt streak6
5
M Morkel3 matches under 6 economy
2+ wkt streak6
6
B Kumar6 matches under 6 economy
2+ wkt streak5
7
DL Chahar3 matches under 6 economy
2+ wkt streak5
8
MM Patel3 matches under 6 economy
2+ wkt streak5
9
CV Varun3 matches under 6 economy
2+ wkt streak5
10
YS Chahal2 matches under 6 economy
2+ wkt streak5
What drives wins?
Each win is tagged by comparing batting lift (winner scoring above their own baseline) vs bowling lift (winner holding the opponent below their baseline). Updates with match filters.
Batting-led winsWinner's batting overperformance was the bigger edge.42.9%
Bowling-led winsWinner's bowling suppression was the bigger edge.49.4%
Balanced winsBatting and bowling lifts were similarly strong.7.6%