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

GT vs PBKS: Match 46 at Narendra Modi Stadium

Gujarat Titans face Punjab Kings at Narendra Modi Stadium, Ahmedabad in Match 46 of IPL 2026 — a contest that could have significant implications for both sides as the tournament progresses through its league stage.

Narendra Modi Stadium, Ahmedabad|May 3, 2026|7:30 PM IST

5 min read|CricIntel Editorial

Venue — Narendra Modi Stadium

The world's largest cricket stadium offers a surface that tends to be slow and low, favouring spinners and batters who play through the line. The sheer scale of the ground means boundaries require genuine power.

The Contest

Gujarat Titans and Punjab Kings meet at Narendra Modi 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 GT and PBKS 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 GT vs PBKS? 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.

GTGujarat Titans

3/4 overseas

1
Jos ButtlerOverseas
Wicket-KeeperStarted last match · Automatic XI pick
Score
28
2
Shubman Gill
BatterStarted last match · Top-15 batter · Automatic XI pick
Score
46
3
B. Sai Sudharsan
BatterStarted last match · Top-15 batter · Automatic XI pick
Score
45
4
M. Shahrukh Khan
BatterSquad regular
Score
5
5
Rashid KhanOverseas
All-RounderStarted last match · Top-15 bowler · Automatic XI pick
Score
43
6
Rahul Tewatia
All-RounderStarted last match · Automatic XI pick
Score
28
7
Washington Sundar
All-RounderStarted last match · Automatic XI pick
Score
28
8
Kagiso RabadaOverseas
BowlerStarted last match · Top-5 bowler (#5) · Automatic XI pick
Score
49
9
Prasidh Krishna
BowlerStarted last match · Top-15 bowler · Automatic XI pick
Score
46
10
Ishant Sharma
BowlerStarted last match · Automatic XI pick
Score
28
11
Manav Suthar
BowlerStarted last match · Automatic XI pick
Score
28

PBKSPunjab Kings

2/4 overseas

1
Vishnu Vinod
Wicket-KeeperStarted last match
Score
28
2
Shreyas Iyer
BatterStarted 2 of last 3 · Top-15 batter · Automatic XI pick
Score
56
3
Nehal Wadhera
BatterStarted 2 of last 3 · Automatic XI pick
Score
42
4
Priyansh Arya
BatterStarted 2 of last 3 · Automatic XI pick
Score
42
5
Harnoor Singh Pannu
BatterSquad regular
Score
5
6
Shashank Singh
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
42
7
Harpreet Brar
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
42
8
Marcus StoinisOverseas
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
42
9
Yuzvendra Chahal
BowlerStarted 2 of last 3 · Automatic XI pick
Score
42
10
Xavier BartlettOverseas
BowlerStarted 2 of last 3 · Automatic XI pick
Score
42
11
Pravin Dubey
BowlerStarted last match
Score
28

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.