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2. Bundesliga
Bielefeld
U U S S U
3–0
Full-time
Heidenheim
S T S U S

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

Bielefeld Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,8
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
50%
50%
Average goals
2,7
2,3
Scored
1,8
1,7
Conceded
0,8
0,7
Goal diff per game
+1,0
+1,0
This season — 2. Bundesliga · 33/33 matches
Win Ø 49%
52%
45%
Points per game
2,0
1,7
Over 2.5 Ø 49%
45%
52%
Both score Ø 49%
55%
42%
Average goals
2,8
2,4
Scored
1,9
1,4
Conceded
0,9
1,0
Goal diff per game
+1,0
+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: 2–0

14 Shots 6
9 Shots on target 1
4 Corners 4
4 Free kicks against 9
0 Yellow cards 1
0 Red cards 0
The table before the match Bielefeld 1. · Heidenheim 3.
# Team K V U T +/− P
1 Bielefeld 33 17 14 2 +32 65
2 Stuttgart 33 17 7 9 +23 58
3 Heidenheim 33 15 10 8 +12 55
4 Hamburg 33 14 12 7 +20 54
5 Darmstadt 33 12 13 8 +3 49
6 Bochum 33 11 13 9 +4 46
7 Hannover 33 12 9 12 +3 45
8 Greuther Furth 33 11 11 11 +2 44
9 Erzgebirge Aue 33 12 8 13 -3 44
10 Regensburg 33 11 10 12 -5 43
11 Holstein Kiel 33 11 9 13 -3 42
12 Sandhausen 33 9 13 11 -6 40
13 Osnabruck 33 9 12 12 -2 39
14 St Pauli 33 9 12 12 -7 39
15 Nurnberg 33 8 12 13 -13 36
16 Karlsruhe 33 7 13 13 -12 34
17 Wehen 33 8 7 18 -22 31
18 Dresden 33 8 7 18 -26 31

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 ✓
3,12
U
3,45
B
2,19
Over/under goals
O1,5 ✓
O2,5 ✓
1,71
U2,5
2,11
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.