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2. Bundesliga
1–2
Full-time
Darmstadt
S U S S S

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 Darmstadt
Last 6 — all competitions · 6/6 matches
Win Ø 67%
50%
83%
Points per game
1,8
2,7
Over 2.5 Ø 50%
33%
67%
Both score Ø 59%
67%
50%
Average goals
2,2
4,0
Scored
1,3
3,3
Conceded
0,8
0,7
Goal diff per game
+0,5
+2,7
This season — 2. Bundesliga · 14/14 matches
Win Ø 39%
21%
57%
Points per game
1,0
1,9
Over 2.5 Ø 57%
43%
71%
Both score Ø 54%
57%
50%
Average goals
2,4
3,6
Scored
0,9
2,5
Conceded
1,4
1,1
Goal diff per game
-0,5
+1,4
🔒 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: 0–0

9 Shots 17
5 Shots on target 7
1 Corners 7
10 Free kicks against 11
0 Yellow cards 1
0 Red cards 0
The table before the match Erzgebirge Aue 14. · Darmstadt 3.
# Team K V U T +/− P
1 St Pauli 14 9 2 3 +15 29
2 Regensburg 15 8 4 3 +13 28
3 Darmstadt 14 8 2 4 +19 26
4 Paderborn 14 7 4 3 +12 25
5 Nurnberg 14 6 6 2 +7 24
6 Heidenheim 15 7 3 5 -4 24
7 Hamburg 14 5 8 1 +8 23
8 Schalke 04 14 7 2 5 +6 23
9 Werder Bremen 14 5 5 4 +0 20
10 Karlsruhe 14 4 6 4 +0 18
11 Hansa Rostock 14 5 2 7 -7 17
12 Fortuna Dusseldorf 15 4 4 7 -3 16
13 Dresden 15 5 1 9 -5 16
14 Erzgebirge Aue 14 3 5 6 -7 14
15 Hannover 14 3 5 6 -8 14
16 Holstein Kiel 14 3 5 6 -10 14
17 Sandhausen 14 3 3 8 -14 12
18 Ingolstadt 14 1 3 10 -22 6

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
3,86
U
3,76
B ✓
1,86
Over/under goals
O1,5 ✓
O2,5 ✓
1,68
U2,5
2,18
U3,5 ✓
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.