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2. Bundesliga
Osnabruck
T T S T T
0–1
Full-time

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

Osnabruck Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,0
1,2
Over 2.5 Ø 75%
67%
83%
Both score Ø 50%
33%
67%
Average goals
3,2
3,3
Scored
1,0
1,7
Conceded
2,2
1,7
Goal diff per game
-1,2
+0,0
This season — 2. Bundesliga · 16/16 matches
Win Ø 38%
38%
38%
Points per game
1,4
1,4
Over 2.5 Ø 60%
56%
63%
Both score Ø 57%
63%
50%
Average goals
2,9
2,8
Scored
1,3
1,5
Conceded
1,6
1,3
Goal diff per game
-0,4
+0,2
🔒 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

8 Shots 8
5 Shots on target 3
3 Corners 4
16 Free kicks against 12
3 Yellow cards 2
1 Red cards 0
The table before the match Osnabruck 11. · Erzgebirge Aue 9.
# Team K V U T +/− P
1 Hamburg 16 10 3 3 +17 33
2 Bochum 16 10 2 4 +15 32
3 Fortuna Dusseldorf 16 9 3 4 +5 30
4 Holstein Kiel 16 8 5 3 +9 29
5 Greuther Furth 16 8 4 4 +10 28
6 Karlsruhe 16 8 1 7 +4 25
7 Heidenheim 16 7 4 5 +2 25
8 Hannover 16 7 2 7 +5 23
9 Erzgebirge Aue 16 6 4 6 +3 22
10 Paderborn 16 6 4 6 +2 22
11 Osnabruck 16 6 4 6 -6 22
12 Nurnberg 16 5 5 6 +0 20
13 Regensburg 16 5 5 6 -2 20
14 Darmstadt 16 5 3 8 -3 18
15 Sandhausen 16 4 2 10 -17 14
16 Braunschweig 16 3 5 8 -18 14
17 St Pauli 16 2 7 7 -9 13
18 Wurzburger Kickers 16 2 3 11 -17 9

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
2,27
U
3,33
B ✓
3,11
Over/under goals
U1,5 ✓
O2,5
1,88
U2,5 ✓
1,91
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.