MatchPulse
Friendlies

Friendlies — xG (Expected Goals)

World · 2026/27

Expected Goals (xG)

xG data available for 12 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Russia820.02.506.80.852050
2Mexico1216.81.409.30.78179+0.2
3Brazil615.42.567.51.25219+5.6
4South Korea815.01.878.91.12129-3
5Argentina614.32.380.70.12261+11.7
6USA812.11.5211.81.471814+5.9
7Germany411.12.772.90.72125+0.9
8Belgium49.42.353.60.91133+3.6
9Canada79.31.333.90.5694-0.3
10Scotland49.32.325.71.4383-1.3
11Morocco58.91.795.31.07144+5.1
12China68.91.497.51.25712-1.9
13England47.51.881.40.3652-2.5
14Egypt57.51.506.11.2163-1.5
15Japan57.51.507.11.4382+0.5
16Chile57.51.509.61.9378-0.5
17Uruguay57.21.436.81.36126+4.9
18Rep. Of Ireland47.11.791.10.2771-0.1
19Ecuador57.11.433.90.7976-0.1
20France46.81.705.01.2595+2.2
21India56.81.367.11.43418-2.8
22Spain36.42.141.80.5972+0.6
23Portugal46.41.613.20.8062-0.4
24Colombia66.11.015.40.89108+3.9
25Switzerland46.11.525.71.4386+1.9
26Hungary46.11.523.60.8962-0.1
27Wales35.81.935.71.9134-2.8
28Türkiye25.72.861.40.7161+0.3
29Netherlands45.71.432.90.7154-0.7
30Panama45.41.357.51.871214+6.6
31South Africa45.41.344.31.0744-1.4
32Ivory Coast35.01.674.31.4392+4
33Serbia34.61.555.71.91312-1.6
34Tajikistan44.61.164.31.0777+2.4
35Nigeria34.61.557.12.381510+10.4
36Austria34.31.431.80.5971+2.7
37Cyprus34.31.432.50.8364+1.7
38Vanuatu14.34.281.41.431310+8.7
39Peru64.30.717.11.19717+2.7
40Norway44.31.075.71.4354+0.7
41Venezuela33.91.315.41.7944+0.1
42Sweden23.61.793.91.9735-0.6
43Ghana43.60.909.02.26310-0.6
44Northern Ireland33.61.195.01.6734-0.6
45Gibraltar23.61.791.10.54101+6.4
46Papua New Guinea23.61.793.61.7946+0.4
47New Zealand33.61.194.61.5557+1.4
48Solomon Islands23.21.615.72.8697+5.8
49Montenegro13.23.210.70.7175+3.8
50Paraguay23.21.612.11.0792+5.8
51Senegal23.21.611.80.8984+4.8
52Palestine13.23.211.11.07136+9.8
53Croatia32.90.982.60.8857+2.1
54Armenia12.92.861.11.0734+0.1
55Poland12.92.861.81.7924-0.9
56Haiti22.91.432.91.4364+3.1
57Greece32.90.953.91.3124-0.9
58Iceland42.90.7110.72.68311+0.1
59Andorra32.90.954.31.4329-0.8
60Bolivia22.51.253.61.79416+1.5
61Romania12.52.503.23.2134+0.5
62Angola12.52.501.11.0741+1.5
63Uzbekistan32.50.835.01.671412+11.5
64Burkina Faso32.50.839.33.09813+5.5
65Moldova22.51.254.72.3358+2.5
66Australia42.50.626.81.7047+1.5
67New Caledonia22.11.082.51.2549+1.9
68Israel22.11.071.10.5432+0.9
69Italy22.11.070.70.3620-0.1
70Thailand22.11.073.21.6122-0.1
71Belarus22.11.072.11.0794+6.9
72Guinea12.12.141.41.4324-0.1
73Slovenia22.11.074.32.1456+2.9
74Denmark12.12.140.70.7121-0.1
75Korea Republic U2312.12.141.81.791112+8.9
76Australia U2311.81.792.12.1434+1.2
77Mali21.80.893.91.9713-0.8
78Hong Kong11.41.430.40.3622+0.6
79Azerbaijan11.41.431.41.4333+1.6
80FYR Macedonia31.40.485.01.6704-1.4
81Jordan21.40.724.62.32611+4.6
82Congo DR11.41.431.11.0745+2.6
83Germany U1911.41.430.70.7164+4.6
84Costa Rica21.10.544.32.15313+1.9
85Ukraine U1911.11.070.70.7132+1.9
86Tunisia21.10.545.72.8616-0.1
87Georgia11.11.071.11.0773+5.9
88Kuwait11.11.072.12.1434+1.9
89El Salvador21.10.542.51.2556+3.9
90Bosnia & Herzegovina11.11.070.40.3611-0.1
91Honduras21.10.543.61.7924+0.9
92Curaçao11.11.073.93.9354+3.9
93San Marino11.11.071.11.0736+1.9
94Saudi Arabia31.10.368.62.8658+3.9
95Finland21.10.545.02.5016-0.1
96Central African Republic11.11.072.52.5014-0.1
97Iran11.11.071.81.79128+10.9
98Guatemala21.10.544.62.32114-0.1
99Qatar20.70.362.11.0701-0.7
100Trinidad and Tobago20.70.367.53.75012-0.7
101Liechtenstein30.70.245.71.9108-0.7
102Finland U1910.70.711.41.4347+3.3
103Singapore10.70.711.11.0752+4.3
104Wales U1910.70.710.40.36311+2.3
105Scotland U1910.70.711.11.0738+2.3
106Kazakhstan10.70.712.12.1424+1.3
107Algeria20.70.362.51.25141+13.3
108Iraq10.70.711.41.4323+1.3
109Ukraine10.70.712.12.1442+3.3
110Madagascar10.40.363.23.2167+5.6
111Sao Tome and Principe10.40.360.70.7100-0.4
112Luxembourg10.40.361.11.0711+0.6
113Nicaragua20.40.184.62.3217+0.6
114Northern Ireland U1910.40.360.70.7112+0.6
115Fiji10.40.360.40.36119+10.6
116Mongolia10.40.361.41.4306-0.4
117Maldives10.00.002.92.86119+1
118Belgium U1910.00.000.00.0042+4
119Albania10.00.001.11.07030
120Sri Lanka10.00.000.00.00126+12
121Jamaica10.00.001.81.7964+6
122Benin10.00.001.11.0749+4
123Zambia10.00.000.40.36050
124Grenada10.00.005.05.00060
125Namibia10.00.005.05.00060
126England U1910.00.000.00.0053+5
127Mauritania10.00.001.41.4333+3
128Seychelles10.00.000.00.00050
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
xG Attack Ranking
VanuatuHigh xGF4.28
MontenegroHigh xGF3.21
PalestineHigh xGF3.21
SeychellesLow xGF0.00
MauritaniaLow xGF0.00
England U19Low xGF0.00

LEAGUE xG STATS

128 teams with xG data
League avg xGF/g: 1.21
League avg xGA/g: 1.45
Best overperformer: Algeria (+13.3)
Biggest underperformer: South Korea (-3.0)

Friendlies (World) — Expected Goals (xG) Analysis

The Friendlies (World) averages 1.43 xG per game this season. Germany creates the most chances with 2.77 xGF per game, while Liechtenstein creates the fewest with 0.24 xGF per game. Argentina is over-performing their xG (26 goals vs 14.3 xGF) — regression likely. South Korea is under-performing (12 goals vs 15.0 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