East Bengal games went over 2.5 goals in 8 of their last 10 (league 43%).
Indian Super League Predictions & Stats
Free AI predictions for every upcoming Indian Super League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 28 October 2026.
Indian Super League Predictions by Market
Season 2026/2027 · Round 3 · Regular Season
Full-Time Result
38%
SUCCESS RATE AVG.
Both Teams To Score
52%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
48%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
67%
SUCCESS RATE AVG.
First Half Result
24%
SUCCESS RATE AVG.
Correct Score
10%
SUCCESS RATE AVG.
Indian Super League 2026/2027 prediction accuracy over the last 100 matches: 1X2 38%, BTTS 52%, Over/Under 2.5 48%, Over/Under 3.5 67%, correct score 10%.
Indian Super League stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 108 matchesrank 1 = highest of 63 competitionsTight and cageyDraws aplenty
Goals a match
2.47
52nd of 63
Over 2.5
42.6%
46 of 108 · 55th of 63
BTTS
53.7%
58 of 108 · 30th of 63
Home wins
38.9%
42 of 108 · 57th of 63
Draws
31.5%
34 of 108 · 7th of 63
xG a match
2.41
56th of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Indian Super League: the stats that stand out
The Indian Super League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 gamesCalculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for Indian Super League
Free predictions for today's Indian Super League matches: 1X2, both teams to score, over/under and correct score.
Winner
2 62%
BTTS*
Yes 54%
Correct Score
1-2 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Winner
2 62%
BTTS*
Yes 54%
Correct Score
1-2 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Full Time
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 46% | 54% | 77% | 23% | |
| 14% | 86% | 39% | 61% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 40% | 60% | 52% | 48% |
Correct Score
1-2
10.2%
0-2
9.7%
1-1
9.4%
0-1
8.9%
0-3
6.8%
1-3
6.8%
Winner
X2 73%
BTTS*
Yes 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Winner
X2 73%
BTTS*
Yes 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Winner
2 51%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Winner
2 51%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Winner
12 72%
BTTS*
Yes 53%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Winner
12 72%
BTTS*
Yes 53%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Winner
1 82%
BTTS*
No 56%
Correct Score
3-0 11%
Over/Under 2.5 goals
over 70%
Over/Under 3.5 goals
over 60%
Winner
1 82%
BTTS*
No 56%
Correct Score
3-0 11%
Over/Under 2.5 goals
over 70%
Over/Under 3.5 goals
over 60%
Winner
1 55%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Winner
1 55%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Winner
12 73%
BTTS*
Yes 62%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 53%
Winner
12 73%
BTTS*
Yes 62%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 53%
Winner
X2 69%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Winner
X2 69%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Winner
1 60%
BTTS*
Yes 53%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 58%
Winner
1 60%
BTTS*
Yes 53%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 58%
Winner
1 63%
BTTS*
No 51%
Correct Score
1-0 13%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Winner
1 63%
BTTS*
No 51%
Correct Score
1-0 13%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Winner
2 52%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 57%
Winner
2 52%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 57%
Winner
X2 67%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Winner
X2 67%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Winner
1 80%
BTTS*
No 51%
Correct Score
2-0 12%
Over/Under 2.5 goals
over 69%
Over/Under 3.5 goals
over 58%
Winner
1 80%
BTTS*
No 51%
Correct Score
2-0 12%
Over/Under 2.5 goals
over 69%
Over/Under 3.5 goals
over 58%
Winner
X2 74%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Winner
X2 74%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Winner
1X 66%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Winner
1X 66%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Winner
2 62%
BTTS*
Yes 52%
Correct Score
0-2 09%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Winner
2 62%
BTTS*
Yes 52%
Correct Score
0-2 09%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Indian Super League xG: chances created and allowed
Every Indian Super League team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsIndian Super League average · 1.32 xG, 1.21 xGAlast 10 games each↑ Fewer chances allowed (xGA a game)












More chances created (xG a game) →
Teams by box· 12
Not in the chart yet: Churchill Brothers (under 5 games here).
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Indian Super League luck check: the last 10 games
Indian Super League teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+5.5 = 6 points more than their chances usually bringRiding their luck2
Kerala Blasters+5.5
BengaluruClinical · +4 goals+5.0
Unlucky1
ChennaiyinWasteful · −5 goals−5.1
Points in line, but wasteful: ATK Mohun Bagan (−8 goals), Mumbai City (−3). Clinical: East Bengal (+5).
In line with their chances: Odisha FC, Inter Kashi, NorthEast United, Minerva Punjab, Goa and Sporting Delhi.
No luck check yet for Churchill Brothers: under 5 games with xG here in 12 months.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Indian Super League last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 21–Oct 28 · 5 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 5 matches.
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Indian Super League Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1 | 3 | 7 | 2 | 1 | 0 | 5:1 | +4 | D W W |
2 | 3 | 7 | 2 | 1 | 0 | 6:4 | +2 | W D W |
3 | 2 | 6 | 2 | 0 | 0 | 9:1 | +8 | W W |
4 | 2 | 6 | 2 | 0 | 0 | 5:2 | +3 | W W |
5 | 3 | 6 | 2 | 0 | 1 | 3:2 | +1 | W W L |
The league profile compares Indian Super League with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Indian Super League
The Indian Super League is the top professional football league in India. It consists of 12 teams and operates on a system of promotion and relegation. The Indian Super League is known for its passionate fan base and growing popularity. ATK Mohun Bagan and Bengaluru FC are among the most successful clubs in Indian Super League history.