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2. Bundesliga
Regensburg
S S T U U
3–2
Full-time

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 Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,8
0,3
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
50%
50%
Average goals
3,2
2,5
Scored
2,2
0,5
Conceded
1,0
2,0
Goal diff per game
+1,2
-1,5
This season — 2. Bundesliga · 7/7 matches
Win Ø 29%
57%
0%
Points per game
2,0
0,4
Over 2.5 Ø 50%
57%
43%
Both score Ø 43%
43%
43%
Average goals
3,0
2,1
Scored
2,1
0,4
Conceded
0,9
1,7
Goal diff per game
+1,3
-1,3
🔒 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: 2–0

17 Shots 14
7 Shots on target 6
6 Corners 3
7 Free kicks against 21
1 Yellow cards 4
0 Red cards 0
The table before the match Regensburg 2. · Erzgebirge Aue 18.
# Team K V U T +/− P
1 Paderborn 7 4 2 1 +10 14
2 Regensburg 7 4 2 1 +9 14
3 St Pauli 7 4 1 2 +6 13
4 Nurnberg 7 3 4 0 +4 13
5 Karlsruhe 7 3 3 1 +5 12
6 Hamburg 7 3 3 1 +4 12
7 Heidenheim 7 3 3 1 +3 12
8 Werder Bremen 7 3 2 2 +2 11
9 Darmstadt 7 3 1 3 +4 10
10 Dresden 7 3 1 3 +2 10
11 Schalke 04 7 3 1 3 +0 10
12 Hannover 7 3 1 3 -4 10
13 Fortuna Dusseldorf 7 2 2 3 -2 8
14 Hansa Rostock 7 2 1 4 -4 7
15 Holstein Kiel 7 1 2 4 -9 5
16 Sandhausen 7 1 1 5 -8 4
17 Ingolstadt 7 1 1 5 -13 4
18 Erzgebirge Aue 7 0 3 4 -9 3

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 ✓
1,67
U
3,91
B
4,82
Over/under goals
O1,5 ✓
O2,5 ✓
1,76
U2,5
2,06
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.