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2. Bundesliga
0–0
Full-time
Nurnberg
U T U 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

Greuther Furth Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,8
Over 2.5 Ø 59%
50%
67%
Both score Ø 58%
33%
83%
Average goals
2,7
4,2
Scored
1,2
1,8
Conceded
1,5
2,3
Goal diff per game
-0,3
-0,5
This season — 2. Bundesliga · 13/13 matches
Win Ø 31%
38%
23%
Points per game
1,4
1,1
Over 2.5 Ø 54%
46%
62%
Both score Ø 58%
46%
69%
Average goals
2,6
3,7
Scored
1,2
1,6
Conceded
1,4
2,1
Goal diff per game
-0,2
-0,5
🔒 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

10 Shots 15
2 Shots on target 3
9 Corners 7
9 Free kicks against 16
2 Yellow cards 3
0 Red cards 0
The table before the match Greuther Furth 8. · Nurnberg 15.
# Team K V U T +/− P
1 Hamburg 14 8 5 1 +19 29
2 Bielefeld 14 8 5 1 +15 29
3 Erzgebirge Aue 14 6 5 3 +3 23
4 Stuttgart 13 7 2 4 +2 23
5 Heidenheim 13 5 5 3 +7 20
6 Holstein Kiel 14 5 3 6 +0 18
7 Sandhausen 14 4 6 4 +0 18
8 Greuther Furth 13 5 3 5 -2 18
9 Regensburg 13 4 5 4 +4 17
10 Osnabruck 14 4 5 5 +2 17
11 Karlsruhe 13 3 7 3 -2 16
12 St Pauli 14 3 6 5 -2 15
13 Darmstadt 13 3 6 4 -4 15
14 Bochum 14 2 8 4 -2 14
15 Nurnberg 13 3 5 5 -6 14
16 Hannover 13 3 5 5 -8 14
17 Dresden 14 3 3 8 -11 12
18 Wehen 14 2 4 8 -15 10

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
2,72
U ✓
3,40
B
2,47
Over/under goals
U1,5 ✓
O2,5
1,69
U2,5 ✓
2,16
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.