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

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 Karlsruhe
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
1,0
1,2
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
67%
33%
Average goals
3,3
2,7
Scored
1,2
1,3
Conceded
2,2
1,3
Goal diff per game
-1,0
+0,0
This season — 2. Bundesliga · 4/4 matches
Win Ø 25%
25%
25%
Points per game
1,3
0,8
Over 2.5 Ø 38%
50%
25%
Both score Ø 38%
75%
0%
Average goals
3,0
1,8
Scored
1,5
0,8
Conceded
1,5
1,0
Goal diff per game
+0,0
-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: 1–0

13 Shots 8
3 Shots on target 2
5 Corners 5
11 Free kicks against 14
1 Yellow cards 5
0 Red cards 1
The table before the match Nurnberg 9. · Karlsruhe 17.
# Team K V U T +/− P
1 Hamburg 4 4 0 0 +6 12
2 Holstein Kiel 4 3 1 0 +4 10
3 Erzgebirge Aue 4 2 1 1 +1 7
4 Hannover 4 2 0 2 +3 6
5 Regensburg 4 1 3 0 +1 6
6 Sandhausen 4 2 0 2 -2 6
7 St Pauli 4 1 2 1 +1 5
8 Osnabruck 3 1 2 0 +1 5
9 Nurnberg 4 1 2 1 +0 5
10 Bochum 4 1 2 1 +0 5
11 Darmstadt 3 1 1 1 +0 4
12 Fortuna Dusseldorf 4 1 1 2 -1 4
13 Heidenheim 4 1 1 2 -1 4
14 Paderborn 4 1 1 2 -1 4
15 Braunschweig 4 1 1 2 -4 4
16 Greuther Furth 4 0 3 1 -1 3
17 Karlsruhe 4 1 0 3 -1 3
18 Wurzburger Kickers 4 0 1 3 -6 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
2,48
U ✓
3,27
B
2,83
Over/under goals
O1,5 ✓
O2,5
1,91
U2,5 ✓
1,88
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.