Cricket Data Intelligence
IPL Analytics
Dashboard
Toss Winner Win Rate
50.5%
Barely above a coin flip
Middle-Over Run Gap
+7.0
Largest gap: winners vs losers (overs 7–15)
All-Time Top Scorer
V Kohli
9,050 runs · SR 130.4
Q1
Do teams that win the toss actually win more matches?
Comparing win rates across toss outcome and toss decision (field vs bat)
Toss winner vs toss loser — match win rate
Based on 1,218 completed matches · dashed line = 50% random chance
Win rate by toss decision — field first vs bat first
Field first (n=803) vs Bat first (n=415) · dashed = 50%
Q2
Which phase — Powerplay, Middle, or Death — is most linked to winning?
Average runs per innings scored by winning teams vs losing teams in each phase
Average runs per phase — winning teams vs losing teams
Δ = run gap between winning and losing teams per phase
Q3
Top 5 batters and top 5 bowlers across all seasons
Ranked by total runs (batters) and total wickets (bowlers) · includes strike rate and economy
Top 5 batters — all-time runs
| # | Batter | Runs | Balls | Strike Rate | Progress |
Top 5 bowlers — all-time wickets
| # | Bowler | Wickets | Overs | Economy | Progress |
Trend
Season-wise total runs — how IPL scoring has evolved
Total runs across all matches per season (numeric seasons only)
Total runs by season
Split-season labels (e.g. 2020/21) excluded · hover for values
Venue
Venue-wise toss advantage — where does the toss matter?
Win rate of toss winner per ground · minimum 10 matches · green = toss helps, red = toss hurts
Toss winner win rate by venue (min. 10 matches)
Dashed line = 50% baseline (random chance)
💡
Surprise finding: Winning the toss gives almost no statistical edge — toss winners win just 50.5% of matches, barely a coin flip. Yet the data reveals that the Middle overs (7–15) show the largest run gap between winning and losing teams (+7.0 runs), bigger than the Powerplay (+5.1) and Death overs (+3.1) that fans obsess over. The match is decided in the overs nobody talks about.