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

PBKS vs MI: Match 58 at HPCA Cricket Stadium

Punjab Kings face Mumbai Indians at HPCA Cricket Stadium, Dharamshala in Match 58 of IPL 2026 — a contest that could have significant implications for both sides as the tournament progresses through its league stage.

HPCA Cricket Stadium, Dharamshala|May 14, 2026|7:30 PM IST

5 min read|CricIntel Editorial

Venue — HPCA Cricket Stadium

Set against the dramatic backdrop of the Himalayas, Dharamshala is one of cricket's most picturesque venues. The mountain air allows the ball to swing, and the surface offers genuine assistance to pace bowlers.

The Contest

Punjab Kings and Mumbai Indians meet at HPCA Cricket 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 PBKS 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 PBKS 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.

PBKSPunjab Kings

2/4 overseas

1
Vishnu Vinod
Wicket-KeeperStarted last match
Score
18
2
Shreyas Iyer
BatterStarted 2 of last 3 · Top-15 batter · Automatic XI pick
Score
45
3
Nehal Wadhera
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
4
Priyansh Arya
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
5
Cooper ConnollyOverseas
All-RounderStarted 2 of last 3 · Top-15 batter · Automatic XI pick
Score
46
6
Shashank Singh
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
7
Harpreet Brar
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
8
Yuzvendra Chahal
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
9
Xavier BartlettOverseas
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
10
Pravin Dubey
BowlerStarted last match
Score
18
11
Arshdeep Singh
BowlerTop-15 bowler
Score
16

MIMumbai Indians

3/4 overseas

1
Ryan RickeltonOverseas
Wicket-KeeperStarted 2 of last 3 · Top-15 batter · Automatic XI pick
Score
43
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.