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

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

Regensburg Darmstadt
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,0
Over 2.5 Ø 50%
33%
67%
Both score Ø 42%
33%
50%
Average goals
2,2
2,7
Scored
0,8
1,0
Conceded
1,3
1,7
Goal diff per game
-0,5
-0,7
This season — 2. Bundesliga · 18/18 matches
Win Ø 33%
33%
33%
Points per game
1,3
1,2
Over 2.5 Ø 64%
50%
78%
Both score Ø 53%
50%
56%
Average goals
2,6
3,4
Scored
1,2
1,6
Conceded
1,4
1,8
Goal diff per game
-0,2
-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: 0–1

16 Shots 9
4 Shots on target 2
7 Corners 2
18 Free kicks against 24
4 Yellow cards 3
0 Red cards 0
The table before the match Regensburg 11. · Darmstadt 13.
# Team K V U T +/− P
1 Hamburg 18 11 4 3 +19 37
2 Bochum 18 11 3 4 +16 36
3 Greuther Furth 19 10 5 4 +14 35
4 Holstein Kiel 18 9 6 3 +11 33
5 Fortuna Dusseldorf 19 9 5 5 +4 32
6 Karlsruhe 18 9 2 7 +5 29
7 Erzgebirge Aue 19 8 4 7 +2 28
8 Hannover 18 8 2 8 +7 26
9 Paderborn 18 7 5 6 +3 26
10 Heidenheim 18 7 5 6 +1 26
11 Regensburg 18 6 5 7 -3 23
12 Osnabruck 18 6 4 8 -8 22
13 Darmstadt 18 6 3 9 -4 21
14 Nurnberg 18 5 5 8 -4 20
15 Braunschweig 18 4 5 9 -19 17
16 St Pauli 18 3 7 8 -8 16
17 Sandhausen 18 4 3 11 -18 15
18 Wurzburger Kickers 19 3 3 13 -18 12

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
2,57
U ✓
3,21
B
2,76
Over/under goals
O1,5 ✓
O2,5
1,80
U2,5 ✓
1,99
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.