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

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

Nurnberg Osnabruck
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,2
0,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 42%
50%
33%
Average goals
2,2
2,0
Scored
0,8
0,3
Conceded
1,3
1,7
Goal diff per game
-0,5
-1,3
This season — 2. Bundesliga · 24/23 matches
Win Ø 28%
29%
26%
Points per game
1,1
1,0
Over 2.5 Ø 49%
46%
52%
Both score Ø 58%
63%
52%
Average goals
2,8
2,6
Scored
1,3
1,0
Conceded
1,5
1,6
Goal diff per game
-0,3
-0,7
🔒 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

13 Shots 5
4 Shots on target 2
7 Corners 3
14 Free kicks against 12
1 Yellow cards 3
0 Red cards 0
The table before the match Nurnberg 14. · Osnabruck 16.
# Team K V U T +/− P
1 Bochum 25 15 3 7 +19 48
2 Hamburg 25 13 7 5 +21 46
3 Holstein Kiel 24 13 7 4 +16 46
4 Greuther Furth 24 12 7 5 +17 43
5 Karlsruhe 24 12 4 8 +7 40
6 Fortuna Dusseldorf 25 11 7 7 +4 40
7 Heidenheim 24 11 6 7 +5 39
8 Hannover 24 10 5 9 +8 35
9 Erzgebirge Aue 25 9 6 10 -3 33
10 St Pauli 24 8 8 8 -3 32
11 Paderborn 24 8 7 9 +0 31
12 Darmstadt 25 9 4 12 -2 31
13 Regensburg 23 7 8 8 -4 29
14 Nurnberg 24 7 6 11 -7 27
15 Braunschweig 24 6 6 12 -21 24
16 Osnabruck 23 6 4 13 -15 22
17 Sandhausen 25 6 4 15 -17 22
18 Wurzburger Kickers 24 4 3 17 -25 15

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
1,88
U ✓
3,38
B
4,22
Over/under goals
O1,5 ✓
O2,5
2,01
U2,5 ✓
1,78
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.