The powerplay is where T20 is won
The powerplay (overs 1-6 in T20) is the highest-use phase. The lab's research shows that powerplay scoring differential is the single strongest predictor of fantasy points.
Powerplay wickets
Powerplay wickets are worth 1.6× the value of middle-overs wickets in fantasy terms. A powerplay wicket maiden earns 8-12 fantasy points per over. The lab's projection model weights powerplay wickets heavily.
Powerplay scoring rate
Powerplay scoring rate above 8.5 RPO typically leads to a winning total. Below 6.5 RPO typically leads to a losing total. The lab tracks powerplay scoring rate live during the match.
Powerplay captain picks
Powerplay specialists (top-order batsmen, new-ball bowlers) make the strongest captain picks in T20. The lab's captain matrix flags powerplay specialists with a +5 confidence bonus.
Field restrictions
Powerplay field restrictions (only 2 fielders outside the 30-yard circle) inflate boundary-hitting bonuses. The lab's boundary-projection model accounts for the field-restriction impact.
Death overs decide close matches
Death overs (overs 17-20 in T20) decide close matches. The lab's research shows that death-over wickets and death-over boundary-hitting bonuses are the second-strongest predictor of fantasy points.
Death-over wickets
Death-over wickets earn +25 base points plus the bowled/LBW bonus of +8. The lab's projection model flags death-over specialists — bowlers with yorker accuracy and slower-ball variations.
Death-over boundary-hitting
Death-over boundaries earn +4 (four) or +6 (six) per ball. The lab's boundary-projection model flags power-hitters with strong death-over strike rates (above 180 SR).
Death-over captain picks
Death-over specialists (yorker bowlers, power-hitters) make the strongest vice-captain picks in T20. The lab's vice-captain matrix flags death-over specialists with a +4 confidence bonus.
Pressure scenarios
Death overs in pressure scenarios (chasing 180+, defending 150-) reward composure. The lab tracks composure metrics (dot-ball percentage under pressure) for every player.
Venue drives the captain pick
Venue drives the captain pick more than any other factor. The lab's research shows that venue-aware captain picks outperform venue-blind picks by 11 points in hit rate.
Wankhede (Mumbai)
Spin-friendly. Average T20 score: 165. Top-order batsmen with strong square-of-the-wicket play make strong captain picks. Spinners with strong wrong'un variations make strong vice-captain picks.
Chinnaswamy (Bengaluru)
Flat. Average T20 score: 195. Top-order batsmen with strong pull-shot play make strong captain picks. Pace bowlers with strong yorker accuracy make strong vice-captain picks.
Eden Gardens (Kolkata)
Sporting. Average T20 score: 175. All-rounders with strong batting and bowling make strong captain picks. The 2-2-2 team stack works well at Eden Gardens.
Narendra Modi Stadium (Ahmedabad)
Flat (day) / sporting (night). Average T20 score: 180 (day) / 170 (night). Day matches reward pace bowlers; night matches reward spinners. The lab's venue database covers day-night splits.
T20 Tips questions, answered
The most common questions about t20 tips on PlayExch, with detailed answers.
What is the powerplay?
The powerplay is overs 1-6 in T20. Field restrictions apply — only 2 fielders can be outside the 30-yard circle. The powerplay is the highest-use phase of a T20 match.
What is a death over?
Death overs are overs 17-20 in T20. The phase rewards death-over specialists — yorker bowlers, power-hitters. Death-over wickets and boundaries earn the highest fantasy-point bonuses.
How important is the venue?
Venue drives the captain pick more than any other factor. The lab's research shows that venue-aware captain picks outperform venue-blind picks by 11 points in hit rate. The venue database covers every major T20 venue.
Should I captain a powerplay specialist?
Powerplay specialists (top-order batsmen, new-ball bowlers) make strong captain picks in T20. The lab's captain matrix flags powerplay specialists with a +5 confidence bonus.
Should I captain a death-over specialist?
Death-over specialists make strong vice-captain picks, not captain picks. The captain pick should be the powerplay specialist. The lab's vice-captain matrix flags death-over specialists with a +4 confidence bonus.
See the decision from three angles
These visuals connect the page topic to the evidence, decision and safety checks readers should make before acting.
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The lab's deeper perspective on t20-tips
Beyond the headline content, the lab's editorial team publishes a longer read on the underlying dynamics, the historical context, and the future direction.
Historical context
The fantasy cricket market has evolved through three phases. Phase 1 (2008-2015) was the early-adopter phase — Dream11 was the dominant operator and the captain-pick methodology was largely gut-driven. Phase 2 (2016-2022) was the data-driven phase — operators introduced live-match data feeds and projection models became more sophisticated. Phase 3 (2023-present) is the transparency phase — readers demand methodology disclosure, hit-rate auditing, and assumption-risk documentation. The lab was founded in 2023 to serve Phase 3 readers.
Underlying dynamics
The underlying dynamics of fantasy cricket are driven by three forces. The first is the ownership distribution — when ownership spikes, the differential edge compresses. The second is the venue read — venue-aware picks outperform venue-blind picks by 11 points in hit rate. The third is the form curve — recent form is a stronger predictor than career average. The lab's research covers all three forces in depth.
Future direction
The fantasy cricket market is moving toward three futures. The first is increased regulation — state gaming authorities are tightening the rules around paid contests. The second is increased transparency — readers demand methodology disclosure and hit-rate auditing. The third is increased automation — AI-driven captain picks and squad optimization are becoming mainstream. The lab is positioned for all three futures.
Lab's editorial position
The lab's editorial position is that fantasy cricket is a research-grade problem. Captain picks are not gut calls — they are data-driven decisions backed by methodology, dataset versioning, and assumption-risk documentation. The lab's editorial principles are published on the owner page. The lab's editorial standards are reviewed quarterly by the editorial board.
The lab's extended perspective
A longer-form walk-through of the underlying dynamics, the data behind the recommendations, and the lab's analytical approach.
Methodology in depth
The lab's methodology is built on a five-stage pipeline. Every published report passes through framing, dataset pull, analysis, assumption-risk documentation, and re-test. The pipeline is published in full on the methodology page. The lab's edge comes from data freshness and analyst expertise, not from a secret formula. Other analysts can re-run the experiments with the published datasets and the published model code. The lab publishes every dataset version and every model version. The lab never quietly updates a dataset after the conclusion lands.
Data sources in depth
The lab pulls data from four primary sources. Match data comes from official tournament data partners, cross-checked against broadcast records. Ownership data comes from public contest-platform feeds, sampled every 30 seconds during contest open windows. Contest result archives come from publicly published leaderboards. Self-collected squad logs come from volunteer readers who submit their picks at lock time. Each source has a published quality score and a published latency benchmark. The lab's data-quality framework is reviewed quarterly by the statistics team.
Reader-safety commitments
The lab's reader-safety commitments cover deposit limits, self-exclusion, play-time alerts, loss trackers, cool-down reminders, and family-controls integration. The lab publishes the safety commitments on the responsible-play page. The lab refuses to partner with operators that do not enforce responsible-play defaults. The lab's reader-safety framework is reviewed annually by an external auditor.
Editorial principles
The lab operates by five public editorial principles. No sponsored picks — no contest operator, brand, or individual can pay the lab to feature a captain pick. Methodology is public — every model's code is published on the methodology page. Misses are published — every Monday morning the lab publishes the previous week's misses alongside the hits. Reader-funded economics — the lab's long-term economics rely on reader subscriptions and contest-entry referrals, not on advertising. Responsible play by default — every contest lobby on the lab's partner platforms shows a responsible-play banner.
Quarterly transparency
Every quarter the lab publishes a transparency report covering methodology changes, hit-rate recalibrations, partner-operator relationships, and revenue mix. The report is published on the 15th of the month following quarter end. The most recent report covers Q1 2026 and shows a 61% captain hit rate over the trailing 90 days, a 48/47/5 revenue split between subscriptions, referrals, and other, and four partner operators. The report is available on the disclosure page.