Match Win Probability Calculator

Understanding live win probability in cricket

Win probability is a statistical estimate of the chance a team has to win the match given the current situation. It is the headline number you see on every live broadcast — and it is now everywhere in cricket coverage, fantasy apps and post-match analysis. This tool is designed to demystify it: live recalculation, explicit pressure components, and a sensitivity matrix so you can see exactly how the model responds to the inputs.

What this calculator gives you

• Live gauge that updates as you change any input — no Calculate button.
• Pressure breakdown: required-vs-current rate, wickets, phase and venue laid out as their own bars.
• What-if sliders: model the next phase by boosting the boundary rate, dropping a hypothetical wicket, or dialling the death-overs pressure penalty up or down.
• Probability trajectory: an SVG curve showing how the chance evolves if Team 2 holds its current pace.
• What-If Matrix: a heatmap of win % across wickets-in-hand × balls-remaining for the current runs-needed.
• First-Innings Projection: a separate mode that projects Team 1’s likely final total and the implied probability for both sides.
• DLS-aware: a single toggle that lets you plug in revised overs from the DLS Calculator for rain-interrupted matches.

How the model works

Internally the engine is a logistic function on a small set of features:

• Required run rate relative to format baseline. Each format has a representative scoring rate (≈5.5 RPO for ODI, ≈8.5 RPO for T20, ≈11 RPO for T10). The model compares the chase’s required rate to this baseline.
• Wickets in hand. Heavily weighted, with extra penalty below 4 and an extra bonus above 7.
• Phase of innings. The death overs apply an additional pressure multiplier when the required rate is well above baseline.
• Venue bias. Shifts the baseline up or down by ±0.5 RPO for batting / bowler-friendly conditions.

Key tipping points to know

• RRR above 12 in T20: Probability dips below 30% unless wickets are very much in hand.
• 5 wickets down in the powerplay: Probability collapses by 30+ points even if the rate looks fine on paper.
• 50% of target at 60% of overs with 7+ wickets: Probability typically above 60%.
• Last over death scenario: A team needing 12+ off 6 balls with 1 wicket is below 10% — modern boundaries are big but death bowling has improved dramatically.

DLS-aware win probability

For rain-affected matches you typically (a) compute a revised target with the DLS calculator, then (b) feed the revised target and revised overs into this tool. Toggle DLS Mode to On and enter the revised total overs in the ‘Match Overs’ field — the engine’s math now correctly accounts for shortened balls remaining.

How accurate is it?

Broadcast probability models can include player-specific batting/bowling performance, ball-by-ball matchups and venue history — features that need proprietary data. Our open model captures the dominant factors and tracks broadcasts well at the strategic level. Expect small differences ball-by-ball and treat the percentages as ranges, not points.

Famous probability swings

Some of cricket’s greatest matches feature dramatic probability shifts. Tap any scenario card below the calculator to load it: the 2019 ODI World Cup Final’s Super Over, Carlos Brathwaite’s four sixes in the 2016 T20 WC Final, and RCB vs KXIP from IPL 2020 where Punjab’s win probability sat at 99.7% before they collapsed in the death overs.