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2. Bundesliga
Karlsruhe
S U U U U
3–3
Full-time
Hannover
T S T S U

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 Hannover
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,2
1,2
Over 2.5 Ø 42%
33%
50%
Both score Ø 42%
67%
17%
Average goals
2,7
2,3
Scored
1,2
0,7
Conceded
1,5
1,7
Goal diff per game
-0,3
-1,0
This season — 2. Bundesliga · 10/10 matches
Win Ø 30%
30%
30%
Points per game
1,3
1,2
Over 2.5 Ø 55%
60%
50%
Both score Ø 60%
80%
40%
Average goals
3,4
2,4
Scored
1,6
1,0
Conceded
1,8
1,4
Goal diff per game
-0,2
-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: 1–2

20 Shots 13
7 Shots on target 7
5 Corners 3
15 Free kicks against 16
3 Yellow cards 4
0 Red cards 1
The table before the match Karlsruhe 12. · Hannover 14.
# Team K V U T +/− P
1 Hamburg 10 6 3 1 +14 21
2 Stuttgart 10 6 2 2 +5 20
3 Bielefeld 10 5 4 1 +9 19
4 Erzgebirge Aue 11 5 3 3 +1 18
5 Regensburg 10 4 2 4 +4 14
6 Holstein Kiel 11 4 2 5 -2 14
7 Darmstadt 11 3 5 3 -2 14
8 Greuther Furth 10 4 2 4 -3 14
9 Heidenheim 10 3 4 3 +2 13
10 St Pauli 10 3 4 3 +1 13
11 Nurnberg 10 3 4 3 +0 13
12 Karlsruhe 10 3 4 3 -2 13
13 Sandhausen 10 3 3 4 -1 12
14 Hannover 10 3 3 4 -4 12
15 Osnabruck 10 3 2 5 +1 11
16 Bochum 11 1 6 4 -4 9
17 Dresden 10 2 3 5 -8 9
18 Wehen 10 2 2 6 -11 8

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
2,69
U ✓
3,37
B
2,53
Over/under goals
O1,5 ✓
O2,5 ✓
1,79
U2,5
2,02
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.