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2. Bundesliga
0–2
Full-time
Regensburg
S T T 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 33%
33%
33%
Points per game
1,3
1,2
Over 2.5 Ø 75%
50%
100%
Both score Ø 58%
33%
83%
Average goals
2,5
4,0
Scored
1,3
1,8
Conceded
1,2
2,2
Goal diff per game
+0,2
-0,3
This season — 2. Bundesliga · 9/9 matches
Win Ø 39%
44%
33%
Points per game
1,7
1,3
Over 2.5 Ø 62%
56%
67%
Both score Ø 56%
44%
67%
Average goals
2,6
3,0
Scored
1,6
1,4
Conceded
1,0
1,6
Goal diff per game
+0,6
-0,1
🔒 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: 0–2

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

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
2,34
U
3,37
B ✓
2,94
Over/under goals
O1,5 ✓
O2,5
1,75
U2,5 ✓
2,04
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.