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

KKR vs GT: Match 60 at Eden Gardens

Kolkata Knight Riders face Gujarat Titans at Eden Gardens, Kolkata in Match 60 of IPL 2026 — a contest that could have significant implications for both sides as the tournament progresses through its league stage.

Eden Gardens, Kolkata|May 16, 2026|7:30 PM IST

5 min read|CricIntel Editorial

Venue — Eden Gardens

Eden Gardens combines atmosphere and surface quality like few grounds anywhere. The pitch offers something for everyone — pace early, spin later — and the passionate Kolkata crowd can swing momentum in an instant.

The Contest

Kolkata Knight Riders and Gujarat Titans meet at Eden Gardens 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 KKR and GT 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 KKR vs GT? 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.

KKRKolkata Knight Riders

4/4 overseas

1
Finn AllenOverseas
Wicket-KeeperStarted 2 of last 3 · Automatic XI pick
Score
32
2
Angkrish Raghuvanshi
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
3
Rovman PowellOverseas
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
4
Ajinkya Rahane
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
5
Manish Pandey
BatterStarted 2 of last 3 · Automatic XI pick
Score
32
6
Anukul Roy
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
7
Cameron GreenOverseas
All-RounderStarted 2 of last 3 · Automatic XI pick
Score
32
8
Kartik Tyagi
BowlerStarted 2 of last 3 · Top-15 bowler · Automatic XI pick
Score
51
9
Varun Chakravarthy
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
10
Vaibhav Arora
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32
11
Blessing MuzarabaniOverseas
BowlerStarted 2 of last 3 · Automatic XI pick
Score
32

GTGujarat Titans

4/4 overseas

1
Jos ButtlerOverseas
Wicket-KeeperStarted last match · Automatic XI pick
Score
18
2
Shubman Gill
BatterStarted last match · Top-15 batter · Automatic XI pick
Score
36
3
B. Sai Sudharsan
BatterStarted last match · Automatic XI pick
Score
18
4
M. Shahrukh Khan
BatterSquad regular
Score
5
5
Rashid KhanOverseas
All-RounderStarted last match · Top-5 bowler (#4) · Automatic XI pick
Score
40
6
Jason HolderOverseas
All-RounderStarted last match · Top-15 bowler · Automatic XI pick
Score
31
7
Rahul Tewatia
All-RounderStarted last match · Automatic XI pick
Score
18
8
Kagiso RabadaOverseas
BowlerStarted last match · Top-5 bowler (#2) · Automatic XI pick
Score
42
9
Prasidh Krishna
BowlerStarted last match · Top-15 bowler · Automatic XI pick
Score
33
10
Mohammed Siraj
BowlerStarted last match · Top-15 bowler · Automatic XI pick
Score
30
11
Ishant Sharma
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.