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2. Bundesliga
Darmstadt
S U T S S
1–1
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

Darmstadt Greuther Furth
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,2
1,0
Over 2.5 Ø 42%
50%
33%
Both score Ø 50%
33%
67%
Average goals
2,5
3,0
Scored
1,8
1,3
Conceded
0,7
1,7
Goal diff per game
+1,2
-0,3
This season — 2. Bundesliga · 28/27 matches
Win Ø 37%
36%
37%
Points per game
1,5
1,4
Over 2.5 Ø 47%
46%
48%
Both score Ø 53%
54%
52%
Average goals
2,6
2,8
Scored
1,4
1,4
Conceded
1,2
1,4
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: 0–0

15 Shots 14
3 Shots on target 2
7 Corners 7
14 Free kicks against 14
2 Yellow cards 2
0 Red cards 0
The table before the match Darmstadt 5. · Greuther Furth 8.
# Team K V U T +/− P
1 Bielefeld 27 14 11 2 +26 53
2 Stuttgart 28 14 6 8 +12 48
3 Hamburg 28 12 10 6 +19 46
4 Heidenheim 28 12 9 7 +6 45
5 Darmstadt 28 10 12 6 +4 42
6 Holstein Kiel 28 10 8 10 +0 38
7 Erzgebirge Aue 28 10 8 10 +0 38
8 Greuther Furth 27 10 7 10 +2 37
9 Hannover 27 9 9 9 -1 36
10 Bochum 28 8 11 9 -1 35
11 Regensburg 28 9 8 11 -6 35
12 St Pauli 28 8 10 10 -2 34
13 Osnabruck 28 8 9 11 -3 33
14 Sandhausen 28 7 12 9 -4 33
15 Nurnberg 28 7 10 11 -12 31
16 Karlsruhe 28 6 11 11 -11 29
17 Wehen 28 7 7 14 -13 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
2,07
U ✓
3,47
B
3,44
Over/under goals
O1,5 ✓
O2,5
1,78
U2,5 ✓
2,02
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.