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2. Bundesliga
3–1
Full-time

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Erzgebirge Aue Greuther Furth
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,3
1,7
Over 2.5 Ø 50%
33%
67%
Both score Ø 67%
67%
67%
Average goals
2,7
3,3
Scored
1,3
2,2
Conceded
1,3
1,2
Goal diff per game
+0,0
+1,0
This season — 2. Bundesliga · 17/17 matches
Win Ø 41%
41%
41%
Points per game
1,5
1,5
Over 2.5 Ø 47%
47%
47%
Both score Ø 53%
59%
47%
Average goals
3,0
2,6
Scored
1,5
1,4
Conceded
1,5
1,2
Goal diff per game
+0,1
+0,2
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–0

16 Shots 10
8 Shots on target 3
2 Corners 4
12 Free kicks against 19
1 Yellow cards 4
0 Red cards 0
The table before the match Erzgebirge Aue 6. · Greuther Furth 7.
# Team K V U T +/− P
1 Bielefeld 17 9 7 1 +17 34
2 Hamburg 17 8 6 3 +17 30
3 Stuttgart 17 9 3 5 +6 30
4 Heidenheim 17 7 6 4 +7 27
5 Osnabruck 17 7 5 5 +8 26
6 Erzgebirge Aue 17 7 5 5 +1 26
7 Greuther Furth 17 7 4 6 +3 25
8 Regensburg 17 6 5 6 +3 23
9 Sandhausen 17 5 8 4 +1 23
10 Holstein Kiel 17 6 4 7 -1 22
11 Bochum 17 4 8 5 -1 20
12 Darmstadt 17 4 8 5 -5 20
13 Karlsruhe 18 4 8 6 -7 20
14 Hannover 17 5 5 7 -8 20
15 Nurnberg 18 4 7 7 -8 19
16 St Pauli 17 4 6 7 -2 18
17 Wehen 18 4 5 9 -14 17
18 Dresden 18 3 4 11 -17 13

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
2,54
U
3,30
B
2,72
Over/under goals
O1,5 ✓
O2,5 ✓
1,84
U2,5
1,95
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.