Calibrated AI predictions for IPL, international T20, ODI, and Test fixtures. Updated as playing XIs confirm and pitch reports land, with toss context, format, and venue profile folded into every pick. Free, no login required.
🏏 IPL season runs April–May 2026
Written by the Predictify Sports AI team · Last updated 8 May 2026
Lucknow Super Giants vs Chennai Super Kings
Punjab Kings vs Mumbai Indians
Royal Challengers Bengaluru vs Kolkata Knight Riders
Gujarat Titans vs Sunrisers Hyderabad
Punjab Kings vs Delhi Capitals
Royal Challengers Bengaluru vs Mumbai Indians
Chennai Super Kings vs Lucknow Super Giants
Rajasthan Royals vs Gujarat Titans
Delhi Capitals vs Kolkata Knight Riders
Lucknow Super Giants vs Royal Challengers Bengaluru
No Cricket games are scheduled right now. Our AI will analyze every matchup — spreads, moneylines, totals, and player props — as soon as games are on the calendar.

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Cricket pitches behave differently — flat batting tracks (Mumbai, Bangalore), turning tracks (Chennai, Kolkata), seam-friendly surfaces (England, New Zealand), and dead pitches (UAE leagues). Pitch type heavily influences expected total runs and which type of bowler will dominate. Our AI uses venue-specific historical data to set baseline run expectations and predict bowling matchups.
The toss is one of the most important factors in cricket — more so than in any other major sport. In day-night IPL matches with dew (Eden Gardens, Chinnaswamy, Wankhede), bowling second is significantly harder. The team winning the toss and choosing to bat second wins ~58% of these games purely on conditions. Our AI generates a pre-toss prediction, then updates once the toss outcome is announced.
A player can be in great T20 form and poor Test form simultaneously. Virat Kohli's IPL average isn't his ODI average. Our model uses format-specific stats when generating predictions — a player's T20 batting strike rate isn't conflated with their Test match output. For combined-format players (Rohit Sharma, Joe Root, Babar Azam), we maintain separate form windows for each format.
Match winner is just the start. We cover top batsman of the match, top bowler of the match, total runs (over/under), method of dismissal in Test cricket, and player props for high-profile players (Bumrah, Kohli, Buttler, Rashid Khan). T20 totals typically run 280–360 across both innings; IPL run-fest matches push 380+. Our AI generates separate predictions for each market based on relevant variables.
Every match across the formats and leagues we cover appears in our database within hours of being scheduled. Coverage focuses on the IPL (Indian Premier League) — the highest-value cricket competition in the world by viewership and stakes — plus international T20 and ODI fixtures involving the major Test nations. Venues range from Eden Gardens and Wankhede to Lord's, the MCG, and the Wanderers.
For every match, we store team recent form (last 5 matches), head-to-head record, the venue's pitch profile (batting-friendly vs spin-friendly vs seam-friendly), recent batting and bowling form for key players, the toss winner and decision (bat first vs bowl first), weather forecast (rain risk, dew factor for night matches), and the match format (T20 vs ODI vs Test). Format matters more than almost any other variable in cricket — a team strong in T20 can struggle in Tests and vice versa.
Google's Gemini model, with web search grounding for late news (a star batter rested for IPL travel, a key bowler ruled out with injury, pitch reports from the morning of a Test match), evaluates each match against the structured data. The model produces a winner probability for the format being played.
Cricket is high-variance, especially in T20. Twenty overs is a small sample — one batting collapse or one over of brilliant bowling can swing a match completely. We calibrate accordingly: a clear IPL favourite at home with a settled XI might warrant 65% confidence. An evenly-matched group-stage IPL fixture sits at 52-48. T20 confidence numbers run lower than NFL because the format compresses outcomes.
Every match we predict gets graded once the result is official. Winner picks (correct/incorrect) are tracked across formats. All graded results are public on our accuracy page.
We track every cricket prediction we publish. Hits, misses, format-specific sample sizes (T20 vs ODI vs Test), per-tournament breakdowns — all visible at /accuracy.
Cricket is moderate-volume — IPL alone runs 70+ matches per season, plus international T20s, ODIs, and Test series throughout the year. Within a single IPL season, we typically grade 60-70 matches. Sample size accumulates fastest during the IPL window and slower across the international calendar.
We display results honestly. If our T20 picks hit at 56% across 100 matches, that's the number we show — not a cherry-picked five-match streak. Variance in T20 cricket is genuinely high, and we're transparent about it.
The straight-up bet on which team wins the match. The most-bet cricket market across all formats. T20 match-winner odds typically range from -110 to -250 for clear favourites; closer matchups sit around -130 / +110. Test matches add a 'draw' option in some markets when conditions favour neither team.
Whether you can predict which team wins the coin toss. A pure 50/50 outcome with no signal — included in some markets but offers no edge. Useful only for context: who chose to bat or bowl shapes the rest of the match more than the toss outcome itself.
The combined runs scored by both teams across the match. T20 totals typically sit at 320-360; ODI totals at 510-560; Test session totals vary widely by pitch. Heavily influenced by pitch profile, weather, and the strength of opposing bowling attacks.
How a venue plays — batting-friendly (high totals, fewer wickets), spin-friendly (slow surfaces, spinners dominate), or seam-friendly (early movement, fast bowlers prevail). Wankhede and Chinnaswamy are batting-friendly; Chepauk is spin-friendly; English County grounds tend seam-friendly. Pitch reports on match day update our model.
T20 is 20 overs per side, 3-4 hours, high variance, aggressive cricket. ODI is 50 overs per side, 7-8 hours, balanced batting construction. Test is 5 days, 90 overs per day, the longest and most format-specific cricket. A team strong in T20 doesn't automatically translate to Test strength — different skills.
How a team has performed in their last 5 matches in the relevant format. Form context-split: a team with strong T20 form may have weak ODI form. We weigh format-specific form more heavily than overall form.
Career record between two teams in the relevant format. More predictive in international cricket where lineups stay relatively stable than in domestic franchise leagues like the IPL where rosters reshuffle annually. Recent H2H (last 5 meetings) carries more weight than total H2H.
Night-match conditions where dew settles on the outfield in the second innings, making the ball slippery and hard to grip for bowlers. Heavily favours the team batting second. Particularly relevant in IPL and other day-night T20s in India and the UAE.
When dew is forecast and the match starts after sunset, the team that wins the toss and chooses to bowl first gains a real edge — defending in the second innings with a wet ball is genuinely harder. If our model picks Team A but Team B wins the toss in dewy conditions and chooses to bowl, you may want to wait for the live odds to settle before betting.
Pre-match analysis assumes the pitch will play to its historical profile. Pitch reports on match day from the curator or commentary team often reveal the surface is drier, greener, or slower than expected. Adjust your stake when the pitch report contradicts the historical baseline.
IPL franchises with deep squads and stable cores (like Mumbai Indians or Chennai Super Kings historically) outperform teams with constant turnover. Our model picks up on roster stability through recent form. When we pick a top-three IPL team at home with a settled XI, those are typically the highest expected value bets in cricket.
Test matches turn on session-by-session momentum. Our pre-match prediction has limited signal about what happens in any individual session — that's why our match-winner picks for Tests carry lower confidence. Live betting after the first day's play often gives clearer signal than pre-match positions.
IPL teams travel across India playing back-to-back matches. A team flying overnight after a late-finishing fixture against an opponent who's been at the venue for two days is at a real disadvantage. The market often partially adjusts; not always fully.
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