3. Liga — xG (Expected Goals)
Germany · 2026/27
Germany — 3. Liga 2026/27 — Detailed Stats
Expected Goals (xG)
xG data available for 10 games| # | Team | MP | xGF | xGF/g | xGA | xGA/g | GF | GA | Diff |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 10 | 23.1 | 2.31 | 17.1 | 1.71 | 17 | 26 | -6.1 | |
| 2 | 10 | 20.5 | 2.05 | 18.6 | 1.86 | 28 | 21 | +7.5 | |
| 3 | 10 | 19.7 | 1.97 | 17.5 | 1.75 | 21 | 20 | +1.3 | |
| 4 | 10 | 18.6 | 1.86 | 15.3 | 1.53 | 19 | 18 | +0.4 | |
| 5 | 10 | 18.6 | 1.86 | 11.5 | 1.15 | 20 | 13 | +1.4 | |
| 6 | 10 | 18.6 | 1.86 | 17.5 | 1.75 | 31 | 17 | +12.4 | |
| 7 | 10 | 18.2 | 1.82 | 17.5 | 1.75 | 16 | 17 | -2.2 | |
| 8 | 10 | 18.2 | 1.82 | 15.6 | 1.56 | 19 | 22 | +0.8 | |
| 9 | 9 | 18.2 | 2.03 | 10.0 | 1.11 | 31 | 15 | +12.8 | |
| 10 | 10 | 17.9 | 1.79 | 12.3 | 1.23 | 23 | 17 | +5.1 | |
| 11 | 10 | 15.6 | 1.56 | 17.5 | 1.75 | 21 | 19 | +5.4 | |
| 12 | 10 | 14.1 | 1.41 | 19.7 | 1.97 | 13 | 26 | -1.1 | |
| 13 | 9 | 13.0 | 1.45 | 13.4 | 1.49 | 20 | 23 | +7 | |
| 14 | 9 | 12.7 | 1.41 | 15.6 | 1.74 | 21 | 23 | +8.3 | |
| 15 | 10 | 12.3 | 1.23 | 18.6 | 1.86 | 16 | 17 | +3.7 | |
| 16 | 9 | 11.9 | 1.32 | 9.7 | 1.07 | 12 | 14 | +0.1 | |
| 17 | 10 | 10.8 | 1.08 | 23.4 | 2.35 | 17 | 24 | +6.2 | |
| 18 | 10 | 10.8 | 1.08 | 12.7 | 1.27 | 22 | 21 | +11.2 | |
| 19 | 10 | 10.8 | 1.08 | 11.9 | 1.19 | 17 | 26 | +6.2 | |
| 20 | 10 | 9.3 | 0.93 | 17.5 | 1.75 | 9 | 14 | -0.3 |
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
LEAGUE xG STATS
20 teams with xG data
League avg xGF/g: 1.60
League avg xGA/g: 1.59
Best overperformer: FC Viktoria Köln (+12.8)
Biggest underperformer: Verl (-6.1)
3. Liga (Germany) — Expected Goals (xG) Analysis
The 3. Liga (Germany) averages 1.60 xG per game this season. Verl creates the most chances with 2.31 xGF per game, while Fortuna Köln creates the fewest with 0.93 xGF per game. FC Viktoria Köln is over-performing their xG (31 goals vs 18.2 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
- 2. Bundesliga xG— Division Premium
- 2. Frauen Bundesliga xG— Division Women's Elite
- Bundesliga xG— Division Elite
- DFB Junioren Pokal xG— Division Academy
- DFB Pokal xG— Division Premium
- DFB Pokal - Women xG— Division Women's Pro
- Frauen Bundesliga xG— Division Women's Elite
- Oberliga - Baden-Württemberg xG— Division Amateur
- Oberliga - Bayern Nord xG— Division Amateur
- Oberliga - Bayern Süd xG— Division Amateur
- Oberliga - Bremen xG— Division Amateur
- Oberliga - Hamburg xG— Division Amateur
- Oberliga - Hessen xG— Division Amateur
- Oberliga - Mittelrhein xG— Division Amateur
- Oberliga - Niederrhein xG— Division Amateur
- Oberliga - Niedersachsen xG— Division Amateur
- Oberliga - Nordost-Nord xG— Division Amateur
- Oberliga - Nordost-Süd xG— Division Amateur
- Oberliga - Promotion Round xG— Division Amateur
- Oberliga - Relegation Round xG— Division Amateur
- Oberliga - Rheinland-Pfalz / Saar xG— Division Amateur
- Oberliga - Schleswig-Holstein xG— Division Amateur
- Oberliga - Westfalen xG— Division Amateur
- Regionalliga - Bayern xG— Division Regional
- Regionalliga - Nord xG— Division Regional
- Regionalliga - Nordost xG— Division Regional
- Regionalliga - Promotion Play-offs xG— Division Regional
- Regionalliga - Relegation Round xG— Division Regional
- Regionalliga - SudWest xG— Division Regional
- Regionalliga - West xG— Division Regional
- Super Cup xG— Division Elite
- Supercup der Frauen xG— Division Women's Pro
- U19 Bundesliga xG— Division Academy