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2. Bundesliga
Osnabruck
T T T T T
1–2
Full-time
Heidenheim
S U T T 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

Osnabruck Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,0
1,2
Over 2.5 Ø 42%
33%
50%
Both score Ø 25%
17%
33%
Average goals
2,0
3,2
Scored
0,2
1,5
Conceded
1,8
1,7
Goal diff per game
-1,7
-0,2
This season — 2. Bundesliga · 21/20 matches
Win Ø 35%
29%
40%
Points per game
1,0
1,5
Over 2.5 Ø 47%
48%
45%
Both score Ø 46%
52%
40%
Average goals
2,5
2,7
Scored
1,0
1,4
Conceded
1,5
1,3
Goal diff per game
-0,5
+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

9 Shots 17
4 Shots on target 4
8 Corners 8
13 Free kicks against 16
3 Yellow cards 1
0 Red cards 0
The table before the match Osnabruck 15. · Heidenheim 9.
# Team K V U T +/− P
1 Hamburg 21 12 6 3 +21 42
2 Bochum 22 13 3 6 +17 42
3 Holstein Kiel 21 12 6 3 +16 42
4 Greuther Furth 21 11 6 4 +17 39
5 Karlsruhe 21 11 3 7 +7 36
6 Hannover 21 10 3 8 +9 33
7 Fortuna Dusseldorf 21 9 6 6 +2 33
8 Erzgebirge Aue 22 9 5 8 +1 32
9 Heidenheim 20 8 5 7 +2 29
10 Paderborn 20 7 6 7 +1 27
11 Regensburg 22 6 8 8 -5 26
12 Darmstadt 21 7 4 10 -4 25
13 St Pauli 21 6 7 8 -5 25
14 Nurnberg 21 6 5 10 -6 23
15 Osnabruck 21 6 4 11 -11 22
16 Braunschweig 22 5 5 12 -22 20
17 Sandhausen 21 5 3 13 -18 18
18 Wurzburger Kickers 21 3 3 15 -22 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
3,66
U
3,27
B ✓
2,06
Over/under goals
O1,5 ✓
O2,5 ✓
1,97
U2,5
1,82
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.