Question 1

How does CricIntel predict match outcomes?

Accepted Answer

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.

Question 2

What data sources does CricIntel use?

Accepted Answer

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.

Question 3

Is CricIntel free to use?

Accepted Answer

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.

Question 4

Which cricket formats does CricIntel support?

Accepted Answer

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

Question 5

How accurate are CricIntel predictions?

Accepted Answer

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.

SL Malinga

🟠 Batting

🟣 Bowling