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2. Bundesliga
Osnabruck
U U U S S
1–4
Full-time
Nurnberg
T U U T 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

Osnabruck Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
2,0
1,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 83%
83%
83%
Average goals
2,7
3,2
Scored
1,7
1,5
Conceded
1,0
1,7
Goal diff per game
+0,7
-0,2
This season — 2. Bundesliga · 7/7 matches
Win Ø 29%
43%
14%
Points per game
1,9
1,0
Over 2.5 Ø 43%
43%
43%
Both score Ø 86%
86%
86%
Average goals
2,6
3,0
Scored
1,6
1,4
Conceded
1,0
1,6
Goal diff per game
+0,6
-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: 0–3

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

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
2,33
U
3,38
B ✓
2,93
Over/under goals
O1,5 ✓
O2,5 ✓
1,79
U2,5
1,99
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.