India Calcutta Premier Division AI predictions
Follow Calcutta Premier Division with daily model picks, the live standings and this season's numbers.
Our model has studied 18 matches in India Calcutta Premier Division so far this season. The home side has taken 33% of them, 56% have produced goals at both ends, and the average match has brought 3.50 goals. Each Calcutta Premier Division pick below is logged publicly and graded once the final whistle goes. Bhawanipore sit top on 26 points after 11 matches.
Goals are flowing in India Calcutta Premier Division: 67% of games have gone over 2.5, with an average of 3.50 per match. The top two in India Calcutta Premier Division are close together on 26 and 24 points.
Calcutta Premier Division season in numbers
Next Calcutta Premier Division fixtures, with picks
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Calcutta Premier Division results, graded
Bhawanipore0
United SC0
Coal India0
Bhawanipore3
George T0
Calcutta C6
United SC5
Suruchi Sangha1
Kalighat SL1
Mohammedan2
Rainbow1
Calcutta Police2
Peerless3
Police1
BSS Sporting0
Kalighat0
Rainbow1
Peerless6
Calcutta C2
United Kolkata2
Aryan5
Rainbow0
BSS Sporting0
United Kolkata2See all Calcutta Premier Division picks
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Questions and answers
Are any Calcutta Premier Division picks free?
Every matchday includes free Calcutta Premier Division picks. BananaGoal Premium adds all remaining upcoming picks, complete odds and the daily accumulator.
What is your hit rate on Calcutta Premier Division?
Look at the record: each Calcutta Premier Division pick gets a won or lost grade after the final whistle and is never removed, so you can measure our accuracy before subscribing.
What will I find on the Calcutta Premier Division page?
Four picks per Calcutta Premier Division match: the 1X2 outcome, over/under, BTTS and our best tip, each shown with the chance the model gives it. This season in India Calcutta Premier Division: over 2.5 goals in 67% of games, 28% draws, 39% away wins.
What goes into your Calcutta Premier Division predictions?
Data, not opinions. Head-to-head results, injuries, recent form and expected goals go into a machine-learning model, which rates every Calcutta Premier Division match and publishes its picks automatically, with no human choosing them.






















