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

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 Karlsruhe
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
1,0
Over 2.5 Ø 50%
83%
17%
Both score Ø 59%
67%
50%
Average goals
3,2
1,8
Scored
1,5
0,8
Conceded
1,7
1,0
Goal diff per game
-0,2
-0,2
This season — 2. Bundesliga · 29/29 matches
Win Ø 28%
34%
21%
Points per game
1,3
1,0
Over 2.5 Ø 50%
55%
45%
Both score Ø 59%
55%
62%
Average goals
2,8
2,9
Scored
1,3
1,3
Conceded
1,4
1,7
Goal diff per game
-0,1
-0,4
🔒 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

10 Shots 14
3 Shots on target 2
4 Corners 2
10 Free kicks against 9
1 Yellow cards 2
0 Red cards 0
The table before the match Erzgebirge Aue 12. · Karlsruhe 16.
# Team K V U T +/− P
1 Bielefeld 29 15 12 2 +27 57
2 Stuttgart 29 15 6 8 +14 51
3 Hamburg 29 13 10 6 +20 49
4 Heidenheim 29 13 9 7 +9 48
5 Darmstadt 30 10 13 7 +1 43
6 Bochum 30 9 12 9 +1 39
7 Hannover 29 10 9 10 +0 39
8 Sandhausen 30 9 12 9 -1 39
9 Regensburg 30 10 9 11 -3 39
10 Greuther Furth 29 10 8 11 +1 38
11 Holstein Kiel 29 10 8 11 -1 38
12 Erzgebirge Aue 29 10 8 11 -3 38
13 St Pauli 30 8 11 11 -4 35
14 Osnabruck 29 8 10 11 -3 34
15 Nurnberg 30 7 12 11 -12 33
16 Karlsruhe 29 6 12 11 -11 30
17 Wehen 30 7 7 16 -15 28
18 Dresden 28 7 6 15 -20 27

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 ✓
2,27
U
3,26
B
3,14
Over/under goals
U1,5 ✓
O2,5
1,96
U2,5 ✓
1,83
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.