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2. Bundesliga
3–1
Full-time
Darmstadt
T U U 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

Greuther Furth Darmstadt
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,5
Over 2.5 Ø 33%
33%
33%
Both score Ø 34%
17%
50%
Average goals
2,0
2,5
Scored
0,7
1,3
Conceded
1,3
1,2
Goal diff per game
-0,7
+0,2
This season — 2. Bundesliga · 11/11 matches
Win Ø 32%
36%
27%
Points per game
1,4
1,3
Over 2.5 Ø 32%
36%
27%
Both score Ø 36%
36%
36%
Average goals
2,3
2,2
Scored
1,0
1,0
Conceded
1,3
1,2
Goal diff per game
-0,3
-0,2
🔒 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

19 Shots 11
6 Shots on target 3
6 Corners 3
16 Free kicks against 12
2 Yellow cards 2
0 Red cards 0
The table before the match Greuther Furth 7. · Darmstadt 12.
# Team K V U T +/− P
1 Hamburg 11 7 3 1 +18 24
2 Bielefeld 11 6 4 1 +10 22
3 Stuttgart 11 6 2 3 +1 20
4 Erzgebirge Aue 11 5 3 3 +1 18
5 Regensburg 12 4 4 4 +4 16
6 Heidenheim 11 4 4 3 +3 16
7 Greuther Furth 11 4 3 4 -3 15
8 Nurnberg 11 3 5 3 +0 14
9 Sandhausen 12 3 5 4 -1 14
10 Karlsruhe 11 3 5 3 -2 14
11 Holstein Kiel 11 4 2 5 -2 14
12 Darmstadt 11 3 5 3 -2 14
13 Hannover 12 3 5 4 -4 14
14 Osnabruck 12 3 4 5 +1 13
15 St Pauli 11 3 4 4 +0 13
16 Bochum 11 1 6 4 -4 9
17 Dresden 11 2 3 6 -9 9
18 Wehen 11 2 3 6 -11 9

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 ✓
2,10
U
3,32
B
3,47
Over/under goals
O1,5 ✓
O2,5 ✓
1,90
U2,5
1,90
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.