Anomaly cluster · Anomaly · GT · Impact Player

GT deployed Prasidh Krishna 6× and Rahul Tewatia 6× — the joint-highest impact-slot usage in IPL 2026. One batter. One bowler. Zero ambiguity.

GT's impact player blueprint was the most systematic of any franchise in IPL 2026. Prasidh Krishna was their designated bowling impact player (6 deployments). Rahul Tewatia was their designated batting impact player (6 deployments). Both joint-highest in the tournament. GT reached the final — their impact player discipline was a structural advantage over franchises that rotated the slot. Source: CricketStudio ball-by-ball, 72 IPL 2026 matches with impact data.

The numbers behind the pattern

Prasidh Krishna (GT) deployments
6
Rahul Tewatia (GT) deployments
6
Matches in tournament
72
GT finished
IPL 2026 Final

How this is computed

Cross-tabulated across every captured fixture under /matches. Patterns are recomputed when new ball-by-ball data lands. Source: CricketMind feed, computed by CricketStudio.

Related trends

Frequently asked

What is the anomaly cluster pattern in IPL 2026?
GT deployed Prasidh Krishna 6× and Rahul Tewatia 6× — the joint-highest impact-slot usage in IPL 2026. One batter. One bowler. Zero ambiguity.
What does this anomaly cluster pattern mean?
GT's impact player blueprint was the most systematic of any franchise in IPL 2026. Prasidh Krishna was their designated bowling impact player (6 deployments). Rahul Tewatia was their designated batting impact player (6 deployments). Both joint-highest in the tournament. GT reached the final — their impact player discipline was a structural advantage over franchises that rotated the slot. Source: CricketStudio ball-by-ball, 72 IPL 2026 matches with impact data.
What numbers support this pattern?
Prasidh Krishna (GT) deployments: 6 · Rahul Tewatia (GT) deployments: 6 · Matches in tournament: 72 · GT finished: IPL 2026 Final. Computed by CricketStudio from CricketMind ball-by-ball data across every captured IPL 2026 fixture.