How does CricIntel predict match outcomes?

CricIntel uses XGBoost machine learning models trained on ball-by-ball cricket data. The model analyzes pitch conditions, player form, venue history, weather impact, and team composition to generate probability-based predictions.

What data sources does CricIntel use?

CricIntel uses CricSheet ball-by-ball data covering 10+ years of international and franchise cricket, live weather data from WeatherAPI, and real-time fixture data from CricAPI.

Is CricIntel free to use?

Yes, CricIntel offers a free plan with 1 prediction report per day. The Pro plan at $7.99/month unlocks unlimited reports, player performance predictions, AI-generated narratives, and advanced analytics.

Which cricket formats does CricIntel support?

CricIntel supports T20 matches including IPL, BBL, PSL, SA20, and international T20s. ODI and Test match support is on the roadmap.

How accurate are CricIntel predictions?

CricIntel provides probability-based predictions, not guaranteed outcomes. The model's predictions are calibrated using Platt scaling to ensure the stated probabilities reflect real-world likelihood.

IPL 2026T20Free Preview

CSK vs MI: Match 44 at MA Chidambaram Stadium

Chennai Super Kings face Mumbai Indians at MA Chidambaram Stadium, Chennai in Match 44 of IPL 2026 — a contest that could have significant implications for both sides as the tournament progresses through its league stage.

MA Chidambaram Stadium, Chennai|May 2, 2026|7:30 PM IST

5 min read|CricIntel Editorial

Venue — MA Chidambaram Stadium

Chepauk is the grand old lady of Indian cricket — a turning track where spin dominates the middle overs and the surface gets slower as the match progresses. Teams batting first often set targets that look modest but prove fiendishly difficult to chase.

The Contest

Chennai Super Kings and Mumbai Indians meet at MA Chidambaram Stadium in what promises to be a compelling IPL 2026 encounter. Both sides will be looking to build momentum in a tournament where consistency separates contenders from pretenders, and every match carries weight in the race for the top four.

The team that adapts better to the conditions on offer, manages its powerplay effectively, and holds nerve in the death overs will likely walk away with two crucial points.

The Verdict

This is a match where preparation meets opportunity. Both CSK and MI have the squad depth to compete, but the side that reads the surface better and executes under pressure will take the spoils. Expect the contest to be decided in the middle overs, where tactical discipline and match awareness matter most.

Want the full probabilistic breakdown, pitch map, and Dream XI recommendation for CSK vs MI? Unlock your CricIntel Pro report — built on venue data, player form curves, and match-up modelling that goes deeper than any preview can.

Open Match Analyzer See a Sample Report

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Predicted Playing XI for Both Teams

Our AI predicts the most likely starting 11 for each team based on current Orange/Purple Cap form, recent starter patterns, and role fit. Constraints applied: 1 keeper, 4-5 batters, 2-3 all-rounders, 3-4 bowlers, max 4 overseas. Updates daily at 3 AM IST.

CSKChennai Super Kings

4/4 overseas

1
Sanju Samson
Wicket-KeeperStarted last 3 matches · Played here before · Automatic XI pick
Score
60
2
Ruturaj Gaikwad
BatterStarted last 3 matches · Played here before · Automatic XI pick
Score
60
3
Ayush Mhatre
BatterStarted last 3 matches · Played here before · Automatic XI pick
Score
60
4
Dewald BrevisOverseas
BatterStarted 2 of last 3 · Played here before
Score
47
5
Jamie OvertonOverseas
All-RounderStarted last 3 matches · Played here before · Automatic XI pick
Score
60
6
Shivam Dube
All-RounderStarted last 3 matches · Played here before · Automatic XI pick
Score
60
7
Prashant Veer
All-RounderStarted 2 of last 3 · Played here before
Score
47
8
Anshul Kamboj
BowlerStarted last 3 matches · Top-5 bowler (#2) · Played here before
Score
84
9
Noor AhmadOverseas
BowlerStarted last 3 matches · Played here before · Automatic XI pick
Score
60
10
Khaleel Ahmed
BowlerStarted 2 of last 3 · Played here before
Score
47
11
Matt HenryOverseas
BowlerStarted 2 of last 3 · Played here before
Score
47

MIMumbai Indians

2/4 overseas

1
Robin Minz
Wicket-KeeperStarted 2 of last 3 · Automatic XI pick
Score
32
2
Rohit Sharma
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
3
Suryakumar Yadav
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
4
Tilak Varma
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
5
Hardik Pandya
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
6
Naman Dhir
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
7
Raj Angad Bawa
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
8
Mayank Markande
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
9
Jasprit Bumrah
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
10
Trent BoultOverseas
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
11
Allah GhazanfarOverseas
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32

How is this calculated?

Composite Score (0-100) blends four signals per player:

Current-season form (35%) — Position in Orange Cap (top batters) or Purple Cap (top bowlers). #1 worth more than #15.
Regular-starter rate (25%) — How often they've been in the confirmed XI across past matches.
Role fit + base form (20%) — Squad-level form rating and role suitability.
Match availability (filter) — Injured / ruled-out players excluded.

Final XI is constrained: max 4 overseas, exactly 1 keeper, role-balanced. Confirmed XIs (after toss) override predictions automatically when available.