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2. Bundesliga
Darmstadt
T S T T S
4–1
Full-time

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

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

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Team trends

Darmstadt Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,8
Over 2.5 Ø 42%
50%
33%
Both score Ø 50%
67%
33%
Average goals
2,8
2,5
Scored
1,3
0,8
Conceded
1,5
1,7
Goal diff per game
-0,2
-0,8
This season — 2. Bundesliga · 24/24 matches
Win Ø 36%
33%
38%
Points per game
1,2
1,4
Over 2.5 Ø 63%
71%
54%
Both score Ø 52%
58%
46%
Average goals
3,3
2,7
Scored
1,5
1,3
Conceded
1,8
1,3
Goal diff per game
-0,2
+0,0
🔒 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: 2–0

18 Shots 13
6 Shots on target 5
6 Corners 3
15 Free kicks against 7
3 Yellow cards 3
0 Red cards 1
The table before the match Darmstadt 13. · Erzgebirge Aue 9.
# Team K V U T +/− P
1 Bochum 25 15 3 7 +19 48
2 Hamburg 25 13 7 5 +21 46
3 Holstein Kiel 24 13 7 4 +16 46
4 Greuther Furth 24 12 7 5 +17 43
5 Karlsruhe 24 12 4 8 +7 40
6 Heidenheim 24 11 6 7 +5 39
7 Fortuna Dusseldorf 24 11 6 7 +4 39
8 Hannover 24 10 5 9 +8 35
9 Erzgebirge Aue 24 9 6 9 +0 33
10 St Pauli 24 8 8 8 -3 32
11 Paderborn 24 8 7 9 +0 31
12 Regensburg 23 7 8 8 -4 29
13 Darmstadt 24 8 4 12 -5 28
14 Nurnberg 24 7 6 11 -7 27
15 Braunschweig 24 6 6 12 -21 24
16 Osnabruck 23 6 4 13 -15 22
17 Sandhausen 24 6 3 15 -17 21
18 Wurzburger Kickers 24 4 3 17 -25 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 ✓
1,85
U
3,57
B
4,12
Over/under goals
O1,5 ✓
O2,5 ✓
1,76
U2,5
2,04
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.