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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 4 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Al Ain48.22.054.41.11143+5.8
2Gamba Osaka37.82.603.01.0193+1.2
3Johor Darul Takzim FC37.42.472.50.8363-1.4
4Kashima37.02.321.40.45111+4
5Al-Hilal Saudi FC36.82.274.81.6074+0.2
6Al-Ittihad FC46.01.515.41.3699+3
7Neftchi45.71.434.61.1557-0.7
8Al-Nassr35.71.895.11.6997+3.3
9Công An Nhân Dân35.51.854.41.4667+0.5
10Al-Qadisiyah FC35.31.753.81.2793+3.7
11Kashiwa Reysol35.21.742.00.6683+2.8
12SHANGHAI SIPG34.81.617.02.341310+8.2
13Vissel Kobe34.81.613.91.2983+3.2
14Pakhtakor34.61.544.31.4279+2.4
15Beijing Guoan34.51.513.00.981010+5.5
16Al-Ahli Jeddah34.41.452.20.7263+1.6
17Kyoto Sanga34.21.403.71.2363+1.8
18Al Shamal34.21.385.21.7443-0.2
19Al Sadd44.01.017.21.8116-3
20Esteghlal FC33.91.314.01.3263+2.1
21Al Quwa Al Jawiya43.90.977.31.8459+1.1
22Al-Wasl FC23.81.902.81.3968+2.2
23Al-Gharafa43.80.958.22.05311-0.8
24Buriram United33.71.227.22.4023-1.7
25Jeonbuk Motors33.61.223.61.1965+2.4
26Daejeon Citizen33.51.151.00.3424-1.5
27Ratchaburi33.31.084.91.63610+2.8
28Newcastle Jets33.11.029.13.04619+2.9
29Tractor Sazi32.80.934.31.4435+0.2
30Shabab Al Ahli Dubai22.61.292.11.0453+2.4
31Port FC32.00.668.22.72914+7
32Pohang Steelers31.80.597.52.4918-0.8
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 xGF2.47
KashimaHigh xGF2.32
Pohang SteelersLow xGF0.59
Port FCLow xGF0.66
Tractor SaziLow xGF0.93

LEAGUE xG STATS

32 teams with xG data
League avg xGF/g: 1.49
League avg xGA/g: 1.47
Best overperformer: SHANGHAI SIPG (+8.2)
Biggest underperformer: Al Sadd (-3.0)

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

The AFC Champions League Elite (World) averages 1.48 xG per game this season. Gamba Osaka creates the most chances with 2.60 xGF per game, while Pohang Steelers creates the fewest with 0.59 xGF per game. SHANGHAI SIPG is over-performing their xG (13 goals vs 4.8 xGF) — regression likely. Al Sadd is under-performing (1 goals vs 4.0 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