Impact Players — IPL 2026
Ball-by-ball analysis · 72 of 73 matches · 76 unique substitutes
The IPL Impact Player rule lets each team bring in one substitute from a bench of five — at any point, in any role. In IPL 2026, 76 unique players were deployed as impact substitutes across 72 matches. 64 of those saw the chasing team deploy their impact slot as a batting substitute — a 89% deployment rate. Chase win rate with a batting impact sub: 56.3%.
Biggest chase knocks
Impact batters scoring ≥30 while chasing (S2 innings), ranked by runs · 22 qualifying knocks
| Player | Team | Runs | Balls | SR | vs | Date | Result |
|---|---|---|---|---|---|---|---|
| Finn Allen | KKR | 100 | 47 | 213 | DC | 2026-05-08 | Won |
| Vaibhav Suryavanshi | RR | 93 | 38 | 245 | LSG | 2026-05-19 | Won |
| Sameer Rizvi | DC | 90 | 51 | 176 | MI | 2026-04-04 | Won |
| Rohit Sharma | MI | 84 | 44 | 191 | LSG | 2026-05-04 | Won |
| Vaibhav Suryavanshi | RR | 78 | 26 | 300 | RCB | 2026-04-10 | Won |
| Sherfane Rutherford | MI | 71 | 31 | 229 | RCB | 2026-04-12 | Lost |
| Sameer Rizvi | DC | 70 | 47 | 149 | LSG | 2026-04-01 | Won |
| Rahul Tewatia | GT | 68 | 43 | 158 | RCB | 2026-05-26 | Lost |
| Devdutt Padikkal | RCB | 61 | 26 | 235 | SRH | 2026-03-28 | Won |
| Ayush Badoni | LSG | 54 | 34 | 159 | KKR | 2026-04-09 | Won |
| Kartik Sharma | CSK | 54 | 40 | 135 | MI | 2026-05-02 | Won |
| Virat Kohli | RCB | 49 | 34 | 144 | LSG | 2026-04-15 | Won |
Source: CricketStudio ball-by-ball aggregation of IPL 2026 · 2026-06-28
Chase specialists
Impact batters used ≥3 times while chasing · ranked by total runs
Most deployed
Players used as an impact substitute most often — across all roles
| Player | Team | Used | As batter | As bowler | All-round | Total runs | Total wkts |
|---|---|---|---|---|---|---|---|
| Prasidh Krishna | GT | 6 | — | 6 | — | — | 7 |
| Rahul Tewatia | GT | 6 | 6 | — | — | 124 | — |
| Finn Allen | KKR | 5 | 5 | — | — | 178 | — |
| Sameer Rizvi | DC | 4 | 4 | — | — | 200 | — |
| Vaibhav Suryavanshi | RR | 4 | 4 | — | — | 207 | — |
| Ashutosh Sharma | DC | 4 | 4 | — | — | 75 | — |
| Devdutt Padikkal | RCB | 3 | 3 | — | — | 112 | — |
| Priyansh Arya | PBKS | 3 | 3 | — | — | 47 | — |
| Ravi Bishnoi | RR | 3 | — | 3 | — | — | 6 |
| Kartik Sharma | CSK | 3 | 3 | — | — | 79 | — |
Bowling impact
Impact substitutes deployed primarily as bowlers · ≥2 bowling appearances
Frequently asked
- What is the Impact Player rule in IPL?
- The IPL Impact Player rule allows each team to substitute one player from a bench of five at any point between overs. The substitute may bat or bowl, giving teams a strategic wildcard beyond the standard XI.
- How many impact players were used in IPL 2026?
- 76 unique players were deployed as impact substitutes across 72 of 73 IPL 2026 matches (CricketStudio ball-by-ball aggregation, computed 2026-06-28).
- Who scored the biggest impact-player knock while chasing in IPL 2026?
- Finn Allen (KKR) — 100(47) at SR 213 vs DC on 2026-05-08. Their team won.
- Which player was the most effective impact batter while chasing in IPL 2026?
- Vaibhav Suryavanshi (RR) led with 207 runs across 4 chase appearances at SR 255.56, with a 50% team win rate.
- Who was deployed as an impact player most often in IPL 2026?
- Prasidh Krishna (GT) and Rahul Tewatia (GT) were each used 6 times — the most in IPL 2026.
- How often did teams use their impact player as a chase batter in IPL 2026?
- Teams deployed a batting impact substitute while chasing in 64 of 72 matches — 89% of the time. The chase win rate in those matches was 56.3% (72 matches, CricketStudio ball-by-ball).
- Who was the most effective impact bowler in IPL 2026?
- Prasidh Krishna (GT) took the most wickets as an impact bowler — 7W in 6 appearances at economy 10.3.
- What was Vaibhav Suryavanshi's impact player strike rate in IPL 2026?
- Vaibhav Suryavanshi (RR) had a chase SR of 255.56 as an impact batter — 207 runs in 4 appearances. His 78 off 26 balls vs RCB (SR 300) on 2026-04-10 was the fastest chase impact knock of the season.
Journeys
Five narratives from the IPL 2026 impact player data — each a distinct angle on how the rule shaped the season