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

Heidenheim Osnabruck
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,7
Over 2.5 Ø 50%
50%
50%
Both score Ø 67%
50%
83%
Average goals
2,5
2,7
Scored
1,2
1,7
Conceded
1,3
1,0
Goal diff per game
-0,2
+0,7
This season — 2. Bundesliga · 4/3 matches
Win Ø 29%
25%
33%
Points per game
1,0
1,7
Over 2.5 Ø 42%
50%
33%
Both score Ø 59%
50%
67%
Average goals
2,8
1,7
Scored
1,3
1,0
Conceded
1,5
0,7
Goal diff per game
-0,3
+0,3
🔒 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: 0–0

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

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
2,17
U ✓
3,39
B
3,19
Over/under goals
O1,5 ✓
O2,5
1,86
U2,5 ✓
1,93
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.