Indian Super League
- IndiaMatch forecasts
Over/Under 2.5 estimates for the next 7 days. These are not betting picks.
Top Picks
No strong picks found in the next 7 days.
All Picks
🕒 Upcoming Matches
Recent Results
League Table
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | East Bengal II | 13 | 7 | 5 | 1 | 30 | 11 | 19 | 26 | WDDWW |
| 2 | ATK Mohun Bagan | 13 | 7 | 5 | 1 | 23 | 9 | 14 | 26 | WDDDW |
| 3 | Mumbai City | 13 | 7 | 4 | 2 | 17 | 9 | 8 | 25 | WWLDL |
| 4 | Bengaluru | 13 | 6 | 5 | 2 | 18 | 12 | 6 | 23 | WWDDD |
| 5 | Jamshedpur | 13 | 6 | 4 | 3 | 15 | 10 | 5 | 22 | DLWWL |
| 6 | Minerva Punjab | 13 | 6 | 4 | 3 | 18 | 12 | 6 | 22 | LWDWD |
| 7 | Goa | 13 | 5 | 5 | 3 | 15 | 11 | 4 | 20 | LDLWW |
| 8 | Kerala Blasters | 13 | 5 | 2 | 6 | 15 | 17 | -2 | 17 | WWWWD |
| 9 | NorthEast United | 13 | 4 | 4 | 5 | 16 | 21 | -5 | 16 | WWWLL |
| 10 | Inter Kashi | 13 | 3 | 4 | 6 | 11 | 17 | -6 | 13 | LDDLL |
| 11 | Odisha | 13 | 2 | 5 | 6 | 14 | 22 | -8 | 11 | DLWDL |
| 12 | SC Delhi | 13 | 2 | 5 | 6 | 13 | 17 | -4 | 11 | LDLDD |
| 13 | Chennaiyin | 13 | 2 | 3 | 8 | 9 | 21 | -12 | 9 | LLLLD |
| 14 | Mohammedan | 13 | 0 | 3 | 10 | 7 | 32 | -25 | 3 | LLLDD |
| Form legend: W - win, D - draw, L - loss | ||||||||||
-
Avg goals2.71Per match
-
Over 2.547.1%Season hit rate
-
BTTS58.8%Both teams to score
-
Home wins41.2%Share of matches
-
Draws29.4%Share of matches
-
Away wins29.4%Share of matches
The Indian Super League (ISL) is one of the most dynamic and attack-oriented football competitions in Asia. Unlike more structured European leagues, matches in the ISL are often open, fast-paced, and heavily influenced by defensive inconsistencies.
Clubs such as Mumbai City FC, Mohun Bagan Super Giant, and Bengaluru FC are among the most competitive teams, but overall league balance remains unstable. Results can vary significantly due to fluctuating team form and frequent defensive errors.
One of the defining characteristics of the ISL is its high goal output. Matches regularly produce multiple goals, making markets such as Over 2.5 goals and Both Teams To Score (BTTS) particularly relevant.
However, the reason behind this scoring trend is important. Unlike top leagues where goals are often driven by structured attacking play, the ISL frequently sees goals resulting from:
- defensive mistakes and poor organization
- inconsistent pressing and positioning
- rapid transitions and counterattacks
This creates a unique environment where matches can shift quickly and unpredictably.
From a betting perspective, the Indian Super League typically presents:
- High-scoring matches → strong Over and BTTS tendencies
- Defensive instability → increased variance in outcomes
- Momentum-driven games → rapid changes in match flow
Because the league receives less global attention than major competitions, it can also show inefficiencies in bookmaker pricing, especially in goal-related markets.
Our Indian Super League predictions are generated using a data-driven model based on historical match data, statistical patterns, and betting market signals, rather than subjective opinions. The system evaluates:
- recent team form and attacking efficiency
- defensive performance and error rates
- goal-scoring trends and match tempo
- bookmaker odds and implied probabilities
Given the structure of the league, our model focuses on identifying value in high-scoring scenarios, particularly where bookmakers underestimate the impact of defensive inconsistency.
All predictions are tracked transparently and measured in betting units (u), allowing you to evaluate long-term performance rather than short-term fluctuations.
For bettors who understand its dynamics, the Indian Super League offers consistent opportunities — especially in goal markets driven by match volatility.