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AFC Champions League Elite

AFC Champions League Elite — xG (Expected Goals)

World · 2026/27

World — AFC Champions League Elite 2026/27 — Detailed Stats
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Goals
AVG TotalGoals ScoredGoals ConcededClean SheetsBTTSFailed To ScorexG (Expected Goals)
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Expected Goals (xG)

xG data available for 3 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Gamba Osaka37.82.603.01.0193+1.2
2Johor Darul Takzim FC37.32.442.40.8161-1.3
3Kashima36.82.281.30.45111+4.2
4Al-Hilal Saudi FC36.72.244.81.5954-1.7
5Al Ain36.32.113.31.10102+3.7
6Công An Nhân Dân35.51.854.41.4667+0.5
7Kashiwa Reysol35.21.741.90.6463+0.8
8Al-Ittihad FC34.91.633.61.2185+3.1
9SHANGHAI SIPG34.81.617.02.3498+4.2
10Vissel Kobe34.71.583.81.2751+0.3
11Beijing Guoan34.51.492.90.9763+1.5
12Kyoto Sanga34.21.403.71.2363+1.8
13Al Shamal34.11.385.21.7242-0.1
14Esteghlal FC33.91.283.91.3153+1.2
15Jeonbuk Motors33.61.203.51.1845+0.4
16Buriram United33.61.207.12.3823-1.6
17Daejeon Citizen33.51.151.00.3422-1.5
18Al Sadd33.41.126.02.0116-2.4
19Al-Nassr23.31.653.21.6035-0.3
20Al-Ahli Jeddah23.31.631.50.7663+2.7
21Ratchaburi33.31.084.91.6347+0.8
22Neftchi33.31.083.71.2235-0.2
23Al-Gharafa33.21.065.21.7536-0.2
24Newcastle Jets33.01.029.03.00415+1
25Pakhtakor22.81.421.90.9753+2.2
26Shabab Al Ahli Dubai22.61.292.11.0451+2.4
27Al Quwa Al Jawiya32.50.834.51.5225-0.5
28Al-Qadisiyah FC22.41.193.21.6243+1.6
29Port FC31.90.658.12.69210+0.1
30Tractor Sazi21.90.941.90.9513-0.9
31Pohang Steelers31.70.577.42.4618-0.7
32Al-Wasl FC11.01.041.41.3825+1
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
xG Attack Ranking
Gamba OsakaHigh xGF2.60
Johor Darul Takzim FCHigh xGF2.44
KashimaHigh xGF2.28
Pohang SteelersLow xGF0.57
Port FCLow xGF0.65
Al Quwa Al JawiyaLow xGF0.83

LEAGUE xG STATS

32 teams with xG data
League avg xGF/g: 1.43
League avg xGA/g: 1.43
Best overperformer: SHANGHAI SIPG (+4.2)
Biggest underperformer: Al Sadd (-2.4)

AFC Champions League Elite (World) — Expected Goals (xG) Analysis

The AFC Champions League Elite (World) averages 1.46 xG per game this season. Gamba Osaka creates the most chances with 2.60 xGF per game, while Pohang Steelers creates the fewest with 0.57 xGF per game. SHANGHAI SIPG is over-performing their xG (9 goals vs 4.8 xGF) — regression likely. Al Sadd is under-performing (1 goals vs 3.4 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) — World