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3. Liga

3. Liga — xG (Expected Goals)

Germany · 2026/27

Germany — 3. Liga 2026/27 — Detailed Stats
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Expected Goals (xG)

xG data available for 11 games
#TeamMPxGFxGF/gxGAxGA/gGFGADiff
1Verl1123.12.1019.41.761727-6.1
2FC Viktoria Köln1022.42.2411.21.123618+13.6
3FC Saarbrücken1121.61.9722.72.073126+9.4
4Hoffenheim II1121.31.9318.61.702220+0.7
5SV Meppen1120.51.8621.31.931818-2.5
6SV Wehen1120.51.8612.31.122617+5.5
7MSV Duisburg1119.81.8019.41.763318+13.2
8Waldhof Mannheim1119.41.7618.61.692320+3.6
9Alemannia Aachen1118.61.6915.31.391919+0.4
10Rot-Weiß Essen1118.61.6911.61.052113+2.4
11Hansa Rostock1118.31.6615.71.422222+3.7
12Stuttgart II1014.91.4915.71.572223+7.1
13Preußen Münster1014.91.4914.51.452125+6.1
14FC Ingolstadt 041114.61.3220.51.861919+4.4
15SSV Jahn Regensburg1114.51.3214.91.362323+8.5
16SG Sonnenhof Grossaspach1114.21.2919.81.801329-1.2
17Fortuna Düsseldorf1013.81.3811.91.191417+0.2
18Würzburger Kickers1111.91.0825.02.271725+5.1
19Havelse1110.80.9814.51.321729+6.2
20Fortuna Köln1110.40.9521.31.931016-0.4
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
* xG estimated from shots on goal using the league's average conversion rate. API xG data is not available for this league.
xG Attack Ranking
FC Viktoria KölnHigh xGF2.24
VerlHigh xGF2.10
FC SaarbrückenHigh xGF1.97
Fortuna KölnLow xGF0.95
HavelseLow xGF0.98
Würzburger KickersLow xGF1.08

LEAGUE xG STATS

20 teams with xG data
League avg xGF/g: 1.59
League avg xGA/g: 1.59
Best overperformer: FC Viktoria Köln (+13.6)
Biggest underperformer: Verl (-6.1)

3. Liga (Germany) — Expected Goals (xG) Analysis

The 3. Liga (Germany) averages 1.59 xG per game this season. FC Viktoria Köln creates the most chances with 2.24 xGF per game, while Fortuna Köln creates the fewest with 0.95 xGF per game. FC Viktoria Köln is over-performing their xG (36 goals vs 22.4 xGF) — regression likely. Verl is under-performing (17 goals vs 23.1 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) — Germany