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2. Bundesliga
Karlsruhe
U U U U U
1–1
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

Karlsruhe Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
1,0
1,3
Over 2.5 Ø 59%
50%
67%
Both score Ø 84%
100%
67%
Average goals
3,7
3,8
Scored
1,8
1,8
Conceded
1,8
2,0
Goal diff per game
+0,0
-0,2
This season — 2. Bundesliga · 12/12 matches
Win Ø 34%
25%
42%
Points per game
1,3
1,6
Over 2.5 Ø 59%
67%
50%
Both score Ø 71%
83%
58%
Average goals
3,7
3,1
Scored
1,8
1,6
Conceded
1,9
1,5
Goal diff per game
-0,2
+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: 0–1

31 Shots 9
5 Shots on target 4
9 Corners 4
10 Free kicks against 10
0 Yellow cards 3
0 Red cards 1
The table before the match Karlsruhe 11. · Erzgebirge Aue 5.
# Team K V U T +/− P
1 Bielefeld 13 8 4 1 +15 28
2 Hamburg 13 7 5 1 +18 26
3 Stuttgart 13 7 2 4 +2 23
4 Heidenheim 13 5 5 3 +7 20
5 Erzgebirge Aue 12 5 4 3 +1 19
6 Greuther Furth 13 5 3 5 -2 18
7 Regensburg 13 4 5 4 +4 17
8 Sandhausen 13 4 5 4 +0 17
9 Osnabruck 13 4 4 5 +2 16
10 St Pauli 13 3 6 4 +0 15
11 Karlsruhe 12 3 6 3 -2 15
12 Holstein Kiel 13 4 3 6 -3 15
13 Darmstadt 13 3 6 4 -4 15
14 Nurnberg 13 3 5 5 -6 14
15 Hannover 13 3 5 5 -8 14
16 Bochum 13 2 7 4 -2 13
17 Dresden 13 3 3 7 -10 12
18 Wehen 13 2 4 7 -12 10

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
2,10
U ✓
3,41
B
3,35
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.