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2. Bundesliga
1–0
Full-time
Regensburg
U U S T 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

Erzgebirge Aue Regensburg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,5
Over 2.5 Ø 50%
33%
67%
Both score Ø 75%
67%
83%
Average goals
2,7
3,7
Scored
1,2
1,8
Conceded
1,5
1,8
Goal diff per game
-0,3
+0,0
This season — 2. Bundesliga · 16/16 matches
Win Ø 38%
38%
38%
Points per game
1,4
1,4
Over 2.5 Ø 60%
50%
69%
Both score Ø 69%
63%
75%
Average goals
3,1
3,4
Scored
1,6
1,8
Conceded
1,6
1,6
Goal diff per game
+0,0
+0,3
🔒 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: 1–0

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

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
3,46
B
2,58
Over/under goals
U1,5 ✓
O2,5
1,60
U2,5 ✓
2,31
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.