Mumbai City vs Bengaluru — Indian Super League 2025
Match Prediction
Statistical Prediction
Based on goals from last 14+ matches
Mumbai City40%
Bengaluru33%✓ Correct in 49 of 100 matches — 5 more than always backing the home side
The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 48.6% correct across 15,072 matches, vs 43.8% for always backing the home side.
Home picks 50.1% correct · Away picks 45.3% correct
Football matches only. Past performance is not indicative of future results.
Expected goals in this match
What is xG?
Every shot is scored 0–1 by how likely it is to be a goal from that spot — a chance in the middle of the box ≈ 0.4, a long shot from a tight angle ≈ 0.03, a penalty ≈ 0.76. Add them up over a match and that is the xG.
The scoreline can lie: you can win 1-0 on a fluke while creating half the chances. xG shows who was really closer to scoring — and over a season it predicts results better than goals alone.
Mumbai City creates 12% more chances
Season form · 17 home / 14 away
creates per match
allows per match
finishing
Total goals
- Under52
- Over48
Close call
Both teams score
- Yes53
- No47
Both teams likely to score
Score probability
Probability of each scoreline, %
Mumbai City ↓
Most likely 1–1 (12%) · grid covers 98% of scorelines
More markets
Total goals
Double chance
Winning margin
Team goals
Draw no bet
Combos
Model probabilities, not odds. For information only.
How is this calculated?
Every number below comes from this match — nothing is made up.
Recent form of each side
Mumbai City at home — creates 1.47, concedes 1.24 · 17 matches
Bengaluru away — creates 1.21, concedes 1.29 · 14 matches
⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.
Expected goals for this match
Mumbai City attack 1.47 + Bengaluru defence 1.29 → ÷2 → 1.38
Bengaluru attack 1.21 + Mumbai City defence 1.24 → ÷2 → 1.23
Each side's attack is blended with the other's defence, then averaged.
Chance of every scoreline
From those two numbers a Poisson distribution gives the probability of each exact score — the grid shown above.
The answer to "why 40%?"
Mumbai City at 40% is simply the biggest of the three — that is the pick.
What the model can't see
It reads only the stats of recent matches. It knows nothing about:
- injuries & suspensions
- the matchday lineup
- motivation — cup, relegation, a title race
- weather & pitch condition
- in-game coaching decisions
So 40% does not mean "Mumbai City will win" — it means "on the available stats, this is the most likely result."
Statistical model based on expected goals (xG). For informational purposes only.
Player of the match
Match Events
East Bengal II
ATK Mohun BaganMumbai CityBengaluru
Jamshedpur
Minerva Punjab
Goa
Kerala Blasters
NorthEast United
Inter Kashi
Odisha
SC Delhi
Chennaiyin
MohammedanIf points are equal: 1. Goal difference 2. Goals scored 3. Head-to-head
P = Played · W = Won · D = Drawn · L = Lost · GF = Goals for · GA = Goals against · GD = Goal difference · Pts = Points
Possession
Shots
Pass accuracy
Statistics
Mumbai City host Bengaluru on Wednesday, 2 October 2024 at 14:00. The match is part of the Indian Super League 2025/2026 season.
Match Recap: Mumbai City vs Bengaluru
Mumbai City and Bengaluru drew 0-0 in Indian Super League on October 2, 2024.
Bengaluru controlled possession (57%) and registered 9 shots to 14.
The match was played at Mumbai Football Arena in Mumbai.