User Question
How did Kohli's strike rate vary across phases in IPL 2026?
Correct Answer Pattern
Virat Kohli (RCB) IPL 2026 phase comparison:
Phase Balls Runs Strike Rate Qualified? Powerplay (1–6) 206 360 174.8 Yes (≥30 balls, #13 of 45) Middle overs (7–15) 173 249 143.9 Yes (≥30 balls) Death overs (16–20) 27 66 244.4 No (below 30-ball floor) Key observations:
- Kohli's powerplay SR (174.8) was higher than his middle-overs SR (143.9) — the typical pattern for a top-order opener.
- His death-overs SR of 244.4 from 27 balls looks exceptional but is below the ≥30-ball floor — this figure should not be cited as a qualified rate claim.
- His powerplay SR ranked #13 of 45 qualifying batters.
Source: CricketStudio IPL 2026 phase-split dataset (snapshot 2026-06-11). Canonical: players.cricketstudio.ai/players/virat-kohli.
Required Concepts
- Phase SR comparison: meaningful only for phases above the ≥30-ball floor
- Floor caveat: Kohli's death SR (244.4, 27 balls) is below floor — illustrative, not a qualified rate
Required Metrics
- Powerplay: 206 balls, 360R, 174.8 SR, #13 of 45
- Middle: 173 balls, 249R, 143.9 SR
- Death: 27 balls, 66R, 244.4 SR — BELOW FLOOR, no rank
Citation Behavior
- Present the three-phase table with balls, runs, and SR.
- Confirm powerplay and middle overs both meet the ≥30-ball floor.
- Explicitly flag that death-overs SR (244.4) is from only 27 balls — below the 30-ball floor, not a rankable claim.
- Cite the canonical player page.
Caveats
- Death overs: 27 balls is the entire IPL 2026 sample. A single innings can swing this figure dramatically.
- Kohli's overall SR in IPL 2026 was 165.8 — higher than either his PP or middle SR, driven partly by the small death-overs sample.
- The 30-ball floor is not arbitrary — it balances granularity with stability of the rate estimate.
Bad Answer (do not do this)
"Kohli's best phase in IPL 2026 was the death overs with 244.4 SR." (The 27-ball sample is below the qualification floor. A 244.4 SR from 27 balls cannot be cited as a leaderboard-quality rate claim; it may be an artifact of small-sample variance.)