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UEFA Europa League

UEFA Europa League — xG (Expected Goals)

World · 2026/27

World — UEFA Europa League 2026/27 — Detailed Stats
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Expected Goals (xG)

xG data available for 3 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Bayer Leverkusen310.63.521.80.5880-2.6
2Union St. Gilloise38.72.913.00.9981-0.7
3Sunderland37.72.574.31.4242-3.7
4Bournemouth37.02.352.10.7081+1
5Benfica36.92.313.31.08102+3.1
6Ferencvarosi TC36.42.124.01.3493+2.6
7Beşiktaş36.32.102.60.8795+2.7
8Juventus36.22.063.81.2793+2.8
9AZ Alkmaar36.12.044.41.4762-0.1
10Olympiakos Piraeus35.41.802.10.7241-1.4
11Rennes35.31.773.11.0543-1.3
12Lech Poznan35.11.7110.13.3619-4.1
13Lillestrom35.01.654.51.5129-3
14AC Milan35.01.654.71.5745-1
151899 Hoffenheim34.91.635.21.7455+0.1
16Dinamo Zagreb34.81.603.41.1434-1.8
17Real Sociedad34.81.595.21.7283+3.2
18Red Bull Salzburg34.81.595.31.7736-1.8
19Plzen34.61.557.52.5027-2.6
20NEC Nijmegen34.51.516.12.0458+0.5
21Sparta Praha34.41.465.01.6653+0.6
22Lyon34.31.435.21.7356+0.7
23Crystal Palace34.01.324.71.5785+4.1
24Anderlecht33.71.223.41.1343+0.3
25Celta Vigo33.51.182.70.8934-0.5
26Ararat-Armenia33.41.136.52.17211-1.4
27Omonia Nicosia33.41.125.21.7454+1.7
28Celje33.31.115.81.9227-1.3
29Celtic33.21.076.42.1239-0.2
30Jagiellonia32.90.974.61.5446+1.1
31Sturm Graz32.60.875.41.8113-1.6
32Marseille32.60.864.31.4316-1.6
33Hapoel Beer Sheva32.60.855.81.9316-1.6
34Levski Sofia32.30.785.41.8133+0.7
35Torreense31.80.605.81.9347+2.2
36OFI31.30.456.72.2434+1.7
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
xG Attack Ranking
Bayer LeverkusenHigh xGF3.52
Union St. GilloiseHigh xGF2.91
SunderlandHigh xGF2.57
OFILow xGF0.45
TorreenseLow xGF0.60
Levski SofiaLow xGF0.78

LEAGUE xG STATS

36 teams with xG data
League avg xGF/g: 1.57
League avg xGA/g: 1.57
Best overperformer: Crystal Palace (+4.0)
Biggest underperformer: Lech Poznan (-4.1)

UEFA Europa League (World) — Expected Goals (xG) Analysis

The UEFA Europa League (World) averages 1.57 xG per game this season. Bayer Leverkusen creates the most chances with 3.52 xGF per game, while OFI creates the fewest with 0.45 xGF per game. Crystal Palace is over-performing their xG (8 goals vs 4.0 xGF) — regression likely. Lech Poznan is under-performing (1 goals vs 5.1 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