MatchPulse
AFC Champions League Two

AFC Champions League Two — xG (Expected Goals)

World · 2026/27

Expected Goals (xG)

xG data available for 3 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Al-Jazira36.22.063.00.9863-0.2
2Al-Nahda24.72.342.61.3227-2.7
3Muharraq34.21.403.91.3045-0.2
4Home United24.22.102.11.0541-0.2
5Machida Zelvia24.02.011.70.85400
6Al Seeb23.81.902.41.1804-3.8
7East Bengal II23.71.841.51.5386+4.3
8Al Kuwait23.71.832.41.1864+2.3
9Arkadag33.21.083.91.2952+1.8
10Gangwon FC23.21.611.30.6322-1.2
11Nasaf23.11.562.00.9913-2.1
12Adelaide United23.01.514.01.9953+2
13FC Seoul22.91.472.11.0554+2.1
14BG Pathum United22.91.431.70.8453+2.2
15Persib Bandung22.81.411.80.9050+2.2
16Al-Rayyan SC22.71.343.81.9196+6.3
17Al Faisaly22.61.313.11.5356+2.4
18Melbourne Victory22.51.281.90.9743+1.5
19Khalidiya22.51.263.11.5825-0.5
20Kitchee22.51.231.90.9513-1.5
21Al Shorta12.22.223.31.6443+1.8
22Al Taawon22.21.102.61.3352+2.8
23Svay Rieng22.11.051.10.5853+2.9
24Al Hussein22.00.984.52.2563+4
25Shanghai Shenhua21.90.932.51.2422+0.1
26Phnom Penh Crown21.80.883.81.9162+4.2
27Al Wahda FC21.50.743.31.6474+5.5
28Kuching FA21.40.701.90.9324+0.6
29Viettel21.30.673.81.9117-0.3
30Tampines Rovers21.00.493.61.8228+1
31Gol Gohar31.00.323.91.3002-1
32Wofoo Tai Po20.80.383.11.5307-0.7
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
xG Attack Ranking
Al-NahdaHigh xGF2.34
Al ShortaHigh xGF2.22
Home UnitedHigh xGF2.10
Gol GoharLow xGF0.32
Wofoo Tai PoLow xGF0.38
Tampines RoversLow xGF0.49

LEAGUE xG STATS

32 teams with xG data
League avg xGF/g: 1.33
League avg xGA/g: 1.32
Best overperformer: Al-Rayyan SC (+6.3)
Biggest underperformer: Al Seeb (-3.8)

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

The AFC Champions League Two (World) averages 1.22 xG per game this season. Al-Jazira creates the most chances with 2.06 xGF per game, while Gol Gohar creates the fewest with 0.32 xGF per game. Arkadag is over-performing their xG (5 goals vs 3.2 xGF) — regression likely.

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