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2. Bundesliga
Darmstadt
S T S S T
0–0
Full-time
Regensburg
T S U T U

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 Regensburg
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,5
1,3
Over 2.5 Ø 75%
83%
67%
Both score Ø 75%
67%
83%
Average goals
3,7
3,0
Scored
1,8
1,5
Conceded
1,8
1,5
Goal diff per game
+0,0
+0,0
This season — 2. Bundesliga · 1/1 matches
Win Ø 0%
0%
0%
Points per game
0,0
1,0
Over 2.5 Ø 50%
100%
0%
Both score Ø 100%
100%
100%
Average goals
5,0
2,0
Scored
2,0
1,0
Conceded
3,0
1,0
Goal diff per game
-1,0
+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: 0–0

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

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
2,04
U ✓
3,48
B
3,47
Over/under goals
U1,5 ✓
O2,5
1,77
U2,5 ✓
2,03
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.