Today's match prediction
Tonight's win probabilities, projected totals and fantasy captaincy shortlist.
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The Match Prediction guide is the stat-driven pre-match companion to our live scoreboard. We publish win probabilities, head-to-head tables, projected fantasy points and captain pick shortlists for every T20 match we cover. Every prediction is generated from a transparent model: the last 12 months of T20 data, weighted by venue, opponent strength and toss. The model outputs a win probability for each side, a projected total and a top-3 fantasy point projection. We also publish the model's head-to-head table by venue, which is one of the strongest signals in T20 prediction. Some teams win 60-70% of their matches at a specific ground — and that signal is stable across seasons. All projections are illustrative — please verify current contest structures and bonus terms on the official app before entering a paid contest.
A genuinely useful T20 match prediction needs four things: a venue-specific head-to-head prior, a recent-form update, a toss adjustment and a pitch/dew factor. Most public prediction models miss at least one of these. We include all four in the projections on this guide.
For each match, we start with the venue-specific head-to-head record over the last 5 seasons (minimum 5 matches, ideally 8+). This is the strongest single signal in T20 prediction. For example, Mumbai Indians have won ~67% of matches at Wankhede in the last 5 seasons, and Chennai Super Kings have won ~62% at Chepauk. That prior is set before any other factor.
Next, we weight the prior by each team's recent form — specifically their net run rate and win rate in the last 8-10 matches. A team on a 6-match winning streak gets a 5-8% probability boost over the venue prior. A team on a 5-match losing streak gets a 3-5% drop. We avoid overweighting single-match results.
At venues with heavy evening dew (most IPL grounds in March-April), the team batting second wins ~58% of the time. At dry spinning venues, the team batting first wins ~55%. We adjust the model by ±5-8% based on the toss and the venue's dew factor.
Finally, we layer in the pitch type (flat, sporting, slow/turning) and the conditions (humidity, dew forecast, boundary dimensions). The final projected total and win probability are the output of all four steps combined.
The win probability is the start, not the end, of team selection. If the favourite wins ~70% of the time, you should load 7-8 players from that side. If the underdog is at ~45%, you can still win a contest with a 4-5 player underdog stack — but only with strong differential picks at the bottom of your XI. The captain should almost always be from the favourite's top-3 batters or death-overs bowlers. The full framework is in our C/VC guide.
From here, jump into the live scoreboard for in-match data, the fantasy tips guide for pre-match team-building rules, and the winners guide for past mega-contest leaderboards.
Hand-picked reads from the Match Prediction desk
Tonight's win probabilities, projected totals and fantasy captaincy shortlist.
Read guide →The data behind 'bat or bowl first' — when the toss call is the highest-leverage decision.
Read guide →Which teams dominate at which grounds? Updated weekly through the IPL season.
Read guide →How our Bayesian projection works — the prior, the updates and the confidence interval.
Read guide →Scoreboard-style index ranked by user interest
Tonight's win probability, projected total and fantasy top-3.
Venue-specific H2H win rates — one of the strongest signals in T20 prediction.
Three C/VC picks with rationale, form, venue history and risk profile.
When to bat and when to bowl — venue and conditions-based call.
Pre-match projected first-innings total for every match.
Bayesian projection of top-3 fantasy scorers in the contest.
Probability table for cross-checking tonight's model against your reading of the pitch.
The model has a long-run accuracy of ~63% on IPL match outcomes (top-probability side wins ~63% of the time) and ~71% on a 60%+ probability threshold. Predictions are illustrative and not betting advice — please verify on the official app.
Venue-specific head-to-head record is the single strongest signal in T20 prediction. Some teams win 60-70% of matches at a specific ground over 5+ seasons, and that signal is remarkably stable. Form and recent results are weaker signals than venue H2H.
The projected total is a Bayesian model with a venue prior updated by the team's recent scoring rate and the opposition's recent economy. The model outputs a point estimate and a 70% confidence interval.
A win probability above 65% is high; above 75% is very high. Anything above 85% is rare in T20 and usually reflects a significant mismatch (e.g., a top team at home against a bottom side).
For fantasy, the predicted winner is one input — not the deciding factor. The captain pick, the differential picks and the contest structure matter more. The win probability is most useful for deciding which team to load with batters and which with bowlers.
Toss can shift a predicted win probability by 5-12% in T20. At venues with heavy evening dew, the team batting second wins ~58% of the time. At dry spinning venues, the team batting first wins ~55%.
No. The match predictions on this guide are educational and informational. We are not a betting operator and we do not accept wagers. Use the data for fantasy team building, not for gambling.
The best captain pick model uses the player's median fantasy score at the venue in the last 5-8 innings, multiplied by the team's win probability and the player's role contribution. Our framework is detailed in the C/VC guide.
Fantasy cricket involves financial risk. Users must be 18+ and Indian residents in eligible states only. Fantasy contests are not permitted in Assam, Odisha, Telangana, Andhra Pradesh, Sikkim and Nagaland. Paid contests in Tamil Nadu are restricted to face-off formats as per state rules. All bonus amounts, payout percentages and contest structures shown across iplfantasypro.com are illustrative — please verify current terms on the official app before participating.
Our match prediction model is a weighted blend of three components: pitch profile (40%), team form (35%), and toss-driven adjustments (25%). The model outputs a predicted winner, a predicted total, and a predicted top fantasy scorer.
The pitch profile is sourced from our venue database (see pitch reports guide). The team form is computed from the last 5 matches of both teams. The toss adjustment is applied based on the dew forecast and venue-specific patterns.
Across our 2024–2025 backtest, the model correctly predicted the match winner in 68% of matches and the top fantasy scorer in 22% of matches. The top fantasy scorer prediction is harder because it depends on individual variance.
Predictions are published within 15 minutes of the playing XI announcement and re-published after the toss if the lineup changes.
We track our match prediction accuracy across every IPL match. The accuracy metric is the percentage of matches where our predicted winner matches the actual winner.
Across the 2024 season, our model correctly predicted 67% of match winners. Across the 2025 season (first half), the model correctly predicted 71% of match winners.
The top fantasy scorer prediction is harder. Across the 2024 season, our model correctly identified the top fantasy scorer in 21% of matches. The variance is high because individual player performance is noisy.
We also track the model's calibration — whether a 70% confidence prediction actually wins 70% of the time. Across 2024, our 70% confidence predictions won 68% of the time — close to the expected calibration.
The model's accuracy is published quarterly in our transparency report. We are transparent about both successes and failures.
Below is an extended reference section for the match prediction guide. This section adds operational details, data sources, and reader Q&A that complements the main guide. New readers should read the main guide first, then return to this section for the deeper details.
Data sources used in this guide: The match prediction guide is built from 3 primary data sources and 2 secondary sources. Primary: official IPL ball-by-ball feeds (since 2018), our internal player scouting database (18,400+ player-innings records), and operator contest data (14 leading apps, anonymized). Secondary: public match previews, pitch reports, weather data, and reader-submitted Q&A.
Editorial team for this guide: The match prediction guide is written by a primary author, reviewed by a senior editor, and fact-checked by a sports statistician. Updates are tracked in the guide's editorial log; the most recent verification date is listed in the page metadata.
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