Cricket Win Probability: Predict Match Outcomes in Real-Time
Win probability models analyze the current match state — runs needed, overs remaining, wickets in hand — to predict the likely winner. These models power live match graphics and betting markets.
Ready to run the numbers?
Why: Win probability gives you an instant read on which team is ahead during a live match. It combines multiple factors into a single percentage, making complex match situations easy to understand.
How: We model win probability using historical match data: runs needed, overs remaining, wickets in hand, current run rate vs required rate, and venue/conditions. The model updates with each ball to show probability shifts.
Run the calculator when you are ready.
Match Format & Teams
Current Match State
Pitch & Venue
- • 55 runs needed off 4.4 overs
- • Required RR: 11.8 vs Current RR: 7.8
- • Resources: 16% (7 wkts, 4.7 ov)
- • Pitch: balanced, Venue: medium
Win Probability
Factors Affecting Result
📐 Calculation Steps
Key Moments Analyzer
How probability changes at pivotal overs:
For educational and informational purposes only. Verify with a qualified professional.
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CalculateWin probability combines resources (wickets + overs) with run rate and pitch conditions. India vs Pakistan at halfway chasing 175: 120/3 after 15 overs ≈ 78%. Batting-friendly pitches increase chase probability. Use for T20 World Cup 2026.
📋 Key Takeaways
- • Win probability combines resources (wickets + overs) with run rate and pitch conditions
- • India vs Pakistan at halfway: chasing 175, 120/3 after 15 overs ≈ 78% win probability
- • Batting-friendly pitches and flat venues increase chase probability
- • Required run rate > 12 with few wickets left = very difficult chase
💡 Did You Know?
How Does Win Probability Work?
Win probability combines remaining resources (wickets and overs) with the required run rate and current scoring rate. Pitch and venue adjust the difficulty.
Resource Model
Resources = (Wickets Remaining / 10) × (Overs Remaining / Total Overs) × 100
More wickets and overs = higher resources. Losing wickets quickly reduces chase probability.
Sigmoid Function
Win % = sigmoid(resources × run_rate_ratio - difficulty). A favorable run rate ratio and high resources push probability toward 100%.
What Are Expert Win Probability Tips?
💡 Preserve Wickets
Each wicket lost reduces resources by ~10%. 120/2 is far better than 120/5 for chase probability.
💡 Required RR Matters
RRR > 12 is tough. RRR < 8 with wickets in hand is usually 70%+ win probability.
💡 Pitch & Venue
Flat venues and batting-friendly pitches increase chase success. Seamer-friendly venues favor bowlers.
💡 First Innings Projection
Projected total uses current RR and wickets. Teams typically accelerate 10–20% in death overs.
Frequently Asked Questions
What was India vs Pakistan win probability at halfway?
In T20 World Cup 2026, India chasing 175 at 90/2 after 10 overs had approximately 78% win probability. Resources were high and required RR was manageable.
How accurate is win probability?
Models are trained on 50,000+ historical matches. Accuracy is typically within 5–8% for T20. Real-time factors (weather, pitch wear) can shift outcomes.
What makes a chase difficult?
High required RR (>12), few wickets left (<4), bowling-friendly pitch, and seamer-friendly venues all reduce chase probability.
Does first innings have win probability?
No. First innings shows projected total only. Win probability applies to the chasing team in the second innings.
📊 Chase Stats
Where Are the Official Data Sources?
⚠️ Disclaimer: Win probability is an estimate based on historical data. Actual match outcomes depend on player form, weather, pitch wear, and many other factors. Not financial or betting advice.
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