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

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

Karlsruhe Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
1,0
0,2
Over 2.5 Ø 75%
83%
67%
Both score Ø 75%
83%
67%
Average goals
3,0
3,3
Scored
1,3
0,8
Conceded
1,7
2,5
Goal diff per game
-0,3
-1,7
This season — 2. Bundesliga · 9/9 matches
Win Ø 17%
33%
0%
Points per game
1,4
0,4
Over 2.5 Ø 61%
78%
44%
Both score Ø 62%
67%
56%
Average goals
2,8
2,4
Scored
1,6
0,7
Conceded
1,2
1,8
Goal diff per game
+0,3
-1,1
🔒 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: 0–0

11 Shots 13
3 Shots on target 4
3 Corners 5
11 Free kicks against 22
1 Yellow cards 4
1 Red cards 0
The table before the match Karlsruhe 10. · Erzgebirge Aue 17.
# Team K V U T +/− P
1 St Pauli 9 6 1 2 +11 19
2 Regensburg 10 5 4 1 +10 19
3 Schalke 04 10 6 1 3 +6 19
4 Paderborn 10 5 3 2 +10 18
5 Nurnberg 9 3 6 0 +4 15
6 Heidenheim 9 4 3 2 +1 15
7 Hamburg 9 3 5 1 +4 14
8 Werder Bremen 9 4 2 3 +2 14
9 Darmstadt 9 4 1 4 +8 13
10 Karlsruhe 9 3 4 2 +3 13
11 Dresden 9 4 1 4 +2 13
12 Fortuna Dusseldorf 9 3 2 4 -2 11
13 Hannover 10 3 2 5 -6 11
14 Hansa Rostock 9 3 1 5 -4 10
15 Holstein Kiel 9 2 2 5 -10 8
16 Sandhausen 9 2 1 6 -12 7
17 Erzgebirge Aue 9 0 4 5 -10 4
18 Ingolstadt 9 1 1 7 -17 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 ✓
1,66
U
3,83
B
4,87
Over/under goals
O1,5 ✓
O2,5 ✓
1,76
U2,5
2,06
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.