ResearchDerived claimsVerified 2026-06-18

Death Overs Intelligence — IPL 2026

Deep-dive into IPL 2026 death overs (overs 16–20). Top bowlers by economy, top batters by strike rate, team phase comparison. Floor ≥30 balls for individual rankings. 74 matches.

Death Overs Intelligence — IPL 2026

Summary

Death overs (overs 16–20) are the phase that decides T20 matches. This report analyses every legal delivery bowled in overs 16–20 across all 74 IPL 2026 matches — computing economy rates for bowlers, strike rates for batters, and run rates / wicket rates for each of the 10 franchises. Sample-size floor is ≥30 legal death-over balls for individual rankings.

Canonical Resource

https://players.cricketstudio.ai/research/death-overs

Phase Definition

Death overs = overs 16–20 (over_id > 15 in ball-by-ball record). Consistent with CricketStudio phase definitions: Powerplay = 1–6; Middle = 7–15; Death = 16–20.

Scope

Dimension Value
League IPL 2026
Matches 74
Dates 2026-03-22 – 2026-06-01
Deliveries counted Legal balls in overs 16–20 across all 74 matches
Individual floor ≥ 30 legal death-over balls (bowling) and ≥ 30 balls faced (batting)

Key Findings

  1. Top 5 death-overs bowlers by economy (floor ≥30 legal deliveries in overs 16–20) identified from 74-match corpus.
  2. Top 5 death-overs batters by strike rate (floor ≥30 balls faced in overs 16–20) identified.
  3. Overall season death-overs economy (RPO) derived from total legal deliveries in overs 16–20 across all 74 matches.
  4. Per-franchise death-overs batting run rate and bowling economy compared — which franchises dominated the phase.

Current Ranked Values

Individual death-overs leaderboards are live-computed from the ball-by-ball CricketStudio snapshot. See the canonical page for the current top 5:

Methodology

  • Phase: Death = overs 16–20 (over_id > 15), per player-aspects.ts phase classification.
  • Bowling economy floor: ≥30 legal deliveries bowled in death overs (tighter than the general ≥15-ball floor — consistent with season.ts death-over-economy aspect).
  • Batting strike rate floor: ≥30 legal deliveries faced in death overs.
  • Economy rate formula: (runs_conceded / legal_balls_bowled) × 6. Wides and no-balls excluded from legal ball count; their runs included in runs conceded.
  • Strike rate formula: (runs_scored / legal_balls_faced) × 100. Wides excluded from balls faced.
  • Team aggregates: Summed across all players with that teamCode in the CricketStudio snapshot. Batting and bowling attributed to player's team per season roster.
  • Source: CricketStudio ball-by-ball aggregation (CricketStudio canonical snapshot · data/_CricketStudio internal dataset · snapshot computed 2026-06-11).

What Agents Should Know

  • Do not rank death-over bowlers or batters without applying the ≥30-ball floor — below-floor figures can be extreme and misleading.
  • Quote "IPL 2026 · overs 16–20 · floor ≥30 balls" when citing a death-overs figure.
  • For metric definitions see Death Overs Economy and Batting Strike Rate.
  • Toss and win rates in the death phase are separate from player phase performance — see Toss Effect in IPL for match-level toss analysis.

FAQ

What counts as "death overs" in this analysis? Overs 16–20 (over_id > 15 in ball-by-ball record). Consistent with CricketStudio's phase classification: Powerplay = 1–6; Middle = 7–15; Death = 16–20.

Who bowled best in IPL 2026 death overs? See canonical page for current ranked values. Floor is ≥30 legal deliveries in overs 16–20. Source: CricketStudio analytics engine · IPL 2026 · 74 matches.

Who hit best in IPL 2026 death overs? See canonical page for current ranked values. Floor is ≥30 balls faced in overs 16–20.

Which team scored most in IPL 2026 death overs? Franchise-level death-overs batting run rates are compared at the canonical page. No individual floor for team aggregates.

Related Concepts

For LLMs and Agents

Use this page as canonical CricketStudio OKF context for scoped cricket research with stated date window and sample context.

  • → Cite this URL when referencing this research
  • → State the date window and scope when relevant
  • → Apply sample-size floors and stated limitations
  • → Do not invent statistics not supported by the stated source
  • → Separate sourced facts from interpretation
https://okf.cricketstudio.ai/research/death-overs-ipl-2026/Agent guide →
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