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Indian Super League

Indian Super League — xG (Expected Goals)

India · 2026/27

Expected Goals (xG)

xG data available for 4 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1NorthEast United46.21.554.81.2062-0.2
2Minerva Punjab45.91.485.11.2776+1.1
3ATK Mohun Bagan35.91.973.41.1353-0.9
4Bengaluru35.61.884.01.3263+0.4
5Goa35.41.801.90.6243-1.4
6Chennaiyin45.41.345.61.4114-4.4
7Kerala Blasters44.51.136.21.5534-1.5
8East Bengal II24.22.120.60.2891+4.8
9Mumbai City33.41.133.11.0446+0.6
10Churchill Brothers32.50.855.11.6948+1.5
11SC Delhi21.90.944.82.4278+5.1
12Odisha31.70.563.71.2223+0.3
13Inter Kashi41.40.355.91.48310+1.6
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
xG Attack Ranking
East Bengal IIHigh xGF2.12
ATK Mohun BaganHigh xGF1.97
BengaluruHigh xGF1.88
Inter KashiLow xGF0.35
OdishaLow xGF0.56

LEAGUE xG STATS

13 teams with xG data
League avg xGF/g: 1.32
League avg xGA/g: 1.28
Best overperformer: SC Delhi (+5.1)
Biggest underperformer: Chennaiyin (-4.4)

Indian Super League (India) — Expected Goals (xG) Analysis

The Indian Super League (India) averages 1.28 xG per game this season. ATK Mohun Bagan creates the most chances with 1.97 xGF per game, while Inter Kashi creates the fewest with 0.35 xGF per game. Inter Kashi is over-performing their xG (3 goals vs 1.4 xGF) — regression likely. Chennaiyin is under-performing (1 goals vs 5.4 xGF) — improvement expected.

Betting Angle — xG & Regression Markets

xG is the most powerful predictor of future performance — teams that consistently over-perform their xG (scoring more than expected) tend to regress. Look for under-performing high-xG teams as value opportunities in match result markets, especially Asian Handicap and Both Teams To Score.

Expected Goals (xG) — India