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2. Bundesliga
Nurnberg
U U S U T
1–1
Full-time
Regensburg
T T U S 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 Regensburg
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
1,2
1,7
Over 2.5 Ø 75%
67%
83%
Both score Ø 75%
83%
67%
Average goals
4,2
3,5
Scored
2,3
2,2
Conceded
1,8
1,3
Goal diff per game
+0,5
+0,8
This season — 2. Bundesliga · 10/10 matches
Win Ø 35%
30%
40%
Points per game
1,3
1,4
Over 2.5 Ø 65%
60%
70%
Both score Ø 65%
60%
70%
Average goals
3,6
3,2
Scored
1,8
1,8
Conceded
1,8
1,4
Goal diff per game
+0,0
+0,4
🔒 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 14
2 Shots on target 4
7 Corners 3
10 Free kicks against 13
0 Yellow cards 4
0 Red cards 0
The table before the match Nurnberg 12. · Regensburg 5.
# Team K V U T +/− P
1 Hamburg 11 7 3 1 +18 24
2 Bielefeld 11 6 4 1 +10 22
3 Stuttgart 11 6 2 3 +1 20
4 Erzgebirge Aue 11 5 3 3 +1 18
5 Regensburg 10 4 2 4 +4 14
6 Karlsruhe 11 3 5 3 -2 14
7 Holstein Kiel 11 4 2 5 -2 14
8 Darmstadt 11 3 5 3 -2 14
9 Greuther Furth 10 4 2 4 -3 14
10 Heidenheim 10 3 4 3 +2 13
11 St Pauli 10 3 4 3 +1 13
12 Nurnberg 10 3 4 3 +0 13
13 Hannover 11 3 4 4 -4 13
14 Sandhausen 10 3 3 4 -1 12
15 Osnabruck 10 3 2 5 +1 11
16 Bochum 11 1 6 4 -4 9
17 Dresden 11 2 3 6 -9 9
18 Wehen 10 2 2 6 -11 8

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
1,93
U ✓
3,70
B
3,63
Over/under goals
O1,5 ✓
O2,5
1,52
U2,5 ✓
2,49
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.