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2. Bundesliga
Bielefeld
S S S U S
2–2
Full-time
Karlsruhe
U U U 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

Bielefeld Karlsruhe
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,3
1,2
Over 2.5 Ø 67%
50%
83%
Both score Ø 83%
83%
83%
Average goals
3,0
4,3
Scored
2,2
2,2
Conceded
0,8
2,2
Goal diff per game
+1,3
+0,0
This season — 2. Bundesliga · 15/15 matches
Win Ø 44%
60%
27%
Points per game
2,1
1,3
Over 2.5 Ø 60%
53%
67%
Both score Ø 77%
73%
80%
Average goals
3,3
3,6
Scored
2,2
1,7
Conceded
1,1
1,9
Goal diff per game
+1,1
-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

23 Shots 8
4 Shots on target 3
10 Corners 7
8 Free kicks against 12
1 Yellow cards 3
0 Red cards 0
The table before the match Bielefeld 1. · Karlsruhe 10.
# Team K V U T +/− P
1 Bielefeld 15 9 5 1 +17 32
2 Hamburg 15 8 5 2 +18 29
3 Stuttgart 15 8 2 5 +4 26
4 Heidenheim 15 6 5 4 +6 23
5 Erzgebirge Aue 15 6 5 4 +1 23
6 Holstein Kiel 15 6 3 6 +1 21
7 Sandhausen 15 5 6 4 +1 21
8 Regensburg 15 5 5 5 +3 20
9 Osnabruck 15 5 5 5 +3 20
10 Karlsruhe 15 4 7 4 -2 19
11 Greuther Furth 15 5 4 6 -3 19
12 Darmstadt 15 4 6 5 -5 18
13 Bochum 15 3 8 4 +0 17
14 Hannover 15 4 5 6 -8 17
15 St Pauli 15 3 6 6 -3 15
16 Nurnberg 15 3 6 6 -8 15
17 Wehen 15 3 4 8 -13 13
18 Dresden 15 3 3 9 -12 12

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
1,64
U ✓
3,91
B
5,04
Over/under goals
O1,5 ✓
O2,5 ✓
1,64
U2,5
2,24
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.