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Bundesliga
Referee: Daniel Schlager
Nurnberg
T U T U T
0–1
Full-time
RB Leipzig
S S U S 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

Nurnberg RB Leipzig
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,3
1,8
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
67%
33%
Average goals
2,3
2,3
Scored
0,7
1,8
Conceded
1,7
0,5
Goal diff per game
-1,0
+1,3
This season — Bundesliga · 23/23 matches
Win Ø 31%
9%
52%
Points per game
0,6
1,8
Over 2.5 Ø 48%
43%
52%
Both score Ø 44%
48%
39%
Average goals
2,9
2,7
Scored
0,8
1,8
Conceded
2,1
0,9
Goal diff per game
-1,3
+1,0
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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: 0–1

45% Possession 55%
7 Shots 12
1 Shots on target 5
2 Blocked shots 3
4 Goalkeeper saves 1
5 Corners 8
5 Offside 2
10 Free kicks against 18
2 Yellow cards 3
0 Red cards 0
The table before the match Nurnberg 18. · RB Leipzig 4.
# Team K V U T +/− P
1 Dortmund 24 16 6 2 +31 54
2 Bayern Munich 23 16 3 4 +25 51
3 M'gladbach 23 13 4 6 +17 43
4 RB Leipzig 23 12 6 5 +22 42
5 Wolfsburg 23 11 5 7 +8 38
6 Ein Frankfurt 23 10 7 6 +16 37
7 Leverkusen 23 11 3 9 +6 36
8 Hoffenheim 23 8 10 5 +12 34
9 Werder Bremen 23 8 8 7 +4 32
10 Hertha 23 8 8 7 +2 32
11 Mainz 23 8 6 9 -10 30
12 Fortuna Dusseldorf 23 8 4 11 -15 28
13 Freiburg 23 6 9 8 -4 27
14 Schalke 04 23 6 5 12 -10 23
15 Augsburg 24 5 6 13 -12 21
16 Stuttgart 23 4 4 15 -32 16
17 Hannover 23 3 5 15 -30 14
18 Nurnberg 23 2 7 14 -30 13

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.

Recent head-to-head meetings

7. Oct -18 RB Leipzig – Nurnberg 6–0

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.