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2. Bundesliga
1–3
Full-time
Darmstadt
S S U T 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 50%
33%
67%
Points per game
1,3
2,2
Over 2.5 Ø 50%
67%
33%
Both score Ø 42%
67%
17%
Average goals
2,5
2,0
Scored
1,5
1,5
Conceded
1,0
0,5
Goal diff per game
+0,5
+1,0
This season — 2. Bundesliga · 27/27 matches
Win Ø 35%
37%
33%
Points per game
1,4
1,4
Over 2.5 Ø 48%
52%
44%
Both score Ø 54%
56%
52%
Average goals
2,7
2,5
Scored
1,4
1,3
Conceded
1,3
1,2
Goal diff per game
+0,1
+0,1
🔒 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: 1–1

6 Shots 17
3 Shots on target 13
3 Corners 10
15 Free kicks against 10
3 Yellow cards 2
0 Red cards 0
The table before the match Erzgebirge Aue 6. · Darmstadt 5.
# Team K V U T +/− P
1 Bielefeld 27 14 11 2 +26 53
2 Hamburg 27 12 10 5 +20 46
3 Stuttgart 27 13 6 8 +11 45
4 Heidenheim 27 12 8 7 +6 44
5 Darmstadt 27 9 12 6 +2 39
6 Erzgebirge Aue 27 10 8 9 +2 38
7 Holstein Kiel 27 10 8 9 +1 38
8 Greuther Furth 26 10 7 9 +4 37
9 Hannover 26 9 8 9 -1 35
10 Regensburg 27 9 7 11 -6 34
11 St Pauli 27 8 9 10 -2 33
12 Bochum 27 7 11 9 -2 32
13 Osnabruck 27 7 9 11 -5 30
14 Sandhausen 27 6 12 9 -5 30
15 Nurnberg 27 7 9 11 -12 30
16 Karlsruhe 27 6 10 11 -11 28
17 Wehen 27 7 7 13 -12 28
18 Dresden 25 6 6 13 -16 24

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
2,50
U
3,22
B ✓
2,84
Over/under goals
O1,5 ✓
O2,5 ✓
1,99
U2,5
1,81
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.