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2. Bundesliga
2–4
Full-time
Bielefeld
U T S U 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

Greuther Furth Bielefeld
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,0
1,5
Over 2.5 Ø 67%
83%
50%
Both score Ø 42%
67%
17%
Average goals
3,8
2,5
Scored
2,5
1,7
Conceded
1,3
0,8
Goal diff per game
+1,2
+0,8
This season — 2. Bundesliga · 21/21 matches
Win Ø 48%
43%
52%
Points per game
1,5
2,0
Over 2.5 Ø 52%
52%
52%
Both score Ø 53%
48%
57%
Average goals
2,8
3,0
Scored
1,5
2,0
Conceded
1,3
1,0
Goal diff per game
+0,2
+1,0
🔒 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: 0–2

16 Shots 15
5 Shots on target 7
5 Corners 3
10 Free kicks against 11
0 Yellow cards 0
0 Red cards 0
The table before the match Greuther Furth 5. · Bielefeld 1.
# Team K V U T +/− P
1 Bielefeld 21 11 8 2 +22 41
2 Hamburg 21 11 7 3 +24 40
3 Stuttgart 21 11 5 5 +12 38
4 Heidenheim 22 9 8 5 +7 35
5 Greuther Furth 21 9 4 8 +4 31
6 Holstein Kiel 21 8 6 7 +2 30
7 Erzgebirge Aue 21 8 6 7 -1 30
8 Regensburg 21 8 5 8 -3 29
9 Osnabruck 21 7 6 8 +3 27
10 Sandhausen 21 6 9 6 +0 27
11 Darmstadt 21 5 11 5 -4 26
12 Nurnberg 22 6 8 8 -8 26
13 Hannover 21 6 7 8 -7 25
14 St Pauli 22 5 8 9 -3 23
15 Bochum 21 5 8 8 -5 23
16 Wehen 21 5 6 10 -14 21
17 Karlsruhe 21 4 8 9 -12 20
18 Dresden 22 4 6 12 -17 18

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
3,34
U
3,25
B ✓
2,18
Over/under goals
O1,5 ✓
O2,5 ✓
1,97
U2,5
1,83
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.