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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

Fortuna Dusseldorf Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,7
0,2
Over 2.5 Ø 50%
33%
67%
Both score Ø 42%
33%
50%
Average goals
1,8
3,5
Scored
0,5
0,8
Conceded
1,3
2,7
Goal diff per game
-0,8
-1,8
This season — 2. Bundesliga · 22/22 matches
Win Ø 21%
27%
14%
Points per game
1,0
0,7
Over 2.5 Ø 50%
45%
55%
Both score Ø 57%
59%
55%
Average goals
2,5
2,8
Scored
1,1
0,9
Conceded
1,4
1,9
Goal diff per game
-0,3
-1,0
🔒 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

18 Shots 5
7 Shots on target 2
6 Corners 0
11 Free kicks against 11
3 Yellow cards 1
0 Red cards 0
The table before the match Fortuna Dusseldorf 16. · Erzgebirge Aue 18.
# Team K V U T +/− P
1 Werder Bremen 23 12 6 5 +13 42
2 Hamburg 23 10 11 2 +21 41
3 St Pauli 22 12 5 5 +14 41
4 Darmstadt 22 12 4 6 +18 40
5 Schalke 04 23 12 4 7 +18 40
6 Heidenheim 23 11 5 7 +0 38
7 Nurnberg 23 10 6 7 +0 36
8 Paderborn 23 8 8 7 +8 32
9 Karlsruhe 23 8 8 7 +5 32
10 Regensburg 23 9 4 10 +5 31
11 Holstein Kiel 23 8 7 8 -6 31
12 Dresden 23 7 5 11 -8 26
13 Hannover 22 6 7 9 -14 25
14 Sandhausen 23 6 7 10 -15 25
15 Hansa Rostock 22 6 6 10 -9 24
16 Fortuna Dusseldorf 22 6 5 11 -6 23
17 Ingolstadt 23 3 6 14 -21 15
18 Erzgebirge Aue 22 3 6 13 -23 15

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 ✓
1,60
U
3,93
B
5,53
Over/under goals
O1,5 ✓
O2,5 ✓
1,84
U2,5
1,94
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.