Free football predictions and tips for India Indian Super League

14:0028.10
Goa
SC Delhi
1X
14:0030.10
NorthEast United
Bengaluru
X2
11:3031.10
Chennaiyin
Kerala Blasters
2
14:0031.10
ATK Mohun Bagan
Minerva Punjab
X

Best and Worst Teams Wins

India
  • More Wins
NorthEast United
2
Minerva Punjab
2
East Bengal II
2
Bengaluru
2
ATK Mohun Bagan
2
India
  • Less Wins
Chennaiyin
0
Goa
0
Inter Kashi
0
Mumbai City
0
Odisha
0

Best and Worst Teams Draws

India
  • More Draws
Odisha
2
Mumbai City
2
NorthEast United
1
Minerva Punjab
1
Kerala Blasters
1
India
  • Less Draws
ATK Mohun Bagan
0
Bengaluru
0
Churchill Brothers
0
East Bengal II
0
SC Delhi
0

Best and Worst Teams Losses

India
  • More Losses
SC Delhi
2
Inter Kashi
2
Churchill Brothers
2
Chennaiyin
2
Odisha
1
India
  • Less Losses
Bengaluru
0
East Bengal II
0
Goa
0
Minerva Punjab
0
NorthEast United
0

Best and Worst Attacking Teams

India
  • Best Attacking Teams
East Bengal II
9
Minerva Punjab
6
NorthEast United
5
Bengaluru
5
Churchill Brothers
4
India
  • Worst Attacking Teams
Chennaiyin
1
Goa
1
Inter Kashi
2
Mumbai City
2
Odisha
2

Best and Worst Defending Teams

India
  • Best Defending Teams
East Bengal II
1
Goa
1
NorthEast United
1
ATK Mohun Bagan
2
Bengaluru
2
India
  • Worst Defending Teams
Inter Kashi
8
Churchill Brothers
8
SC Delhi
5
Minerva Punjab
4
Kerala Blasters
4

India Indian Super League Last Results and Predictions

India Indian Super League Standings

# Name P W D L Goals Last 5 Pts
1
NorthEast United
3 2 1 0 5:1
DWW
7
2
Minerva Punjab
3 2 1 0 6:4
WDW
7
3
East Bengal II
2 2 0 0 9:1
WW
6
4
Bengaluru
2 2 0 0 5:2
WW
6
5
ATK Mohun Bagan
3 2 0 1 3:2
WWL
6
6
Kerala Blasters
3 1 1 1 3:4
DLW
4
7
Churchill Brothers
3 1 0 2 4:8
LLW
3
8
Odisha
3 0 2 1 2:3
DDL
2
9
Mumbai City
3 0 2 1 2:3
DDL
2
10
Goa
1 0 1 0 1:1
D
1
11
Chennaiyin
3 0 1 2 1:4
LLD
1
12
Inter Kashi
3 0 1 2 2:8
LDL
1
13
SC Delhi
2 0 0 2 3:5
LL
0

When are the India Indian Super League Predictions available?

You can track down our Indian Super League tips and predictions on this page, predictions are posted 4 days before any Indian Super League event. Using artificial intelligence on football predictions help users predict outcomes for a event.

The goal of our India Indian Super League Predictions?

The objective is give most-precise forecast while being totally straightforward in doing as such. We firmly trust that having the right tool here in our daily football predictions the expectations can have a massive effect between Indian Super League fans and punters.
  • Top Countries
  • News and Articles
Every Winner of the UEFA Nations League

Every Winner of the UEFA Nations League

Discover the national teams that have lifted the UEFA Nations League trophy from 2019 to 2025, with dramatic finals, unforgettable goals and historic victories.

The impact of VAR on penalties and match outcomes

The impact of VAR on penalties and match outcomes

Learn how VAR affects penalties, match outcomes, football predictions, and betting models by changing decision accuracy, game state, scoring probability, and late-match volatility.

Value betting explained with examples from AI probabilities

Value betting explained with examples from AI probabilities

A clear, example-driven guide to value betting using AI probabilities, showing how to convert odds into implied probabilities, spot positive expected value, size stakes responsibly, and avoid common traps.

Predicting goalscorers with data and AI

Predicting goalscorers with data and AI

Who is most likely to score in the next match? Discover how AI identifies hidden goalscoring opportunities and why recent form does not always tell the full story.

The best data sources for AI soccer predictions

The best data sources for AI soccer predictions

A practical guide to the best data sources for AI soccer predictions, covering event data, tracking data, odds, injuries, and open datasets, plus how to choose, validate, and combine them.

Over and under goals: how AI predicts goal totals

Over and under goals: how AI predicts goal totals

Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.

Odd:1.38