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

MI vs LSG: Match 47 at Wankhede Stadium

Mumbai Indians face Lucknow Super Giants at Wankhede Stadium, Mumbai in Match 47 of IPL 2026 — a contest that could have significant implications for both sides as the tournament progresses through its league stage.

Wankhede Stadium, Mumbai|May 4, 2026|7:30 PM IST

5 min read|CricIntel Editorial

Venue — Wankhede Stadium

The Wankhede is a compact ground with 65-70 metre boundaries where the ball travels fast through the sea-breeze-kissed Mumbai evening air. Historically a batting paradise under lights, it rewards clean striking and punishes anything short.

The Contest

Mumbai Indians and Lucknow Super Giants meet at Wankhede 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 MI and LSG 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 MI vs LSG? 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.

MIMumbai Indians

2/4 overseas

1
Robin Minz
Wicket-KeeperStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
2
Rohit Sharma
BatterStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
3
Suryakumar Yadav
BatterStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
4
Tilak Varma
BatterStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
5
Hardik Pandya
All-RounderStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
6
Naman Dhir
All-RounderStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
7
Raj Angad Bawa
All-RounderStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
8
Mayank Markande
BowlerStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
9
Jasprit Bumrah
BowlerStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
10
Trent BoultOverseas
BowlerStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47
11
Allah GhazanfarOverseas
BowlerStarted 2 of last 3 · Venue regular (2× here) · Automatic XI pick
Score
47

LSGLucknow Super Giants

0/4 overseas

1
Rishabh Pant
Wicket-KeeperStarted last match · Automatic XI pick
Score
18
2
Abdul Samad
BatterStarted last match · Automatic XI pick
Score
18
3
Himmat Singh
BatterStarted last match · Automatic XI pick
Score
18
4
Mukul Choudhary
BatterStarted last match · Automatic XI pick
Score
18
5
Akshat Raghuwanshi
BatterStarted last match · Automatic XI pick
Score
18
6
Shahbaz Ahmed
All-RounderStarted last match · Automatic XI pick
Score
18
7
Arshin Kulkarni
All-RounderStarted last match · Automatic XI pick
Score
18
8
Naman Tiwari
All-RounderStarted last match · Automatic XI pick
Score
18
9
Prince Yadav
BowlerTop-15 bowler
Score
24
10
Mohammed Shami
BowlerStarted last match · Automatic XI pick
Score
18
11
Avesh Khan
BowlerStarted last match · Automatic XI pick
Score
18

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.