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2. Bundesliga
Paderborn
S S T U U
2–2
Full-time
Nurnberg
U T 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

Paderborn Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,5
1,5
Over 2.5 Ø 59%
67%
50%
Both score Ø 83%
83%
83%
Average goals
4,3
3,0
Scored
2,5
1,5
Conceded
1,8
1,5
Goal diff per game
+0,7
+0,0
This season — 2. Bundesliga · 1/1 matches
Win Ø 0%
0%
0%
Points per game
1,0
1,0
Over 2.5 Ø 0%
0%
0%
Both score Ø 0%
0%
0%
Average goals
0,0
0,0
Scored
0,0
0,0
Conceded
0,0
0,0
Goal diff per game
+0,0
+0,0
🔒 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

4 Shots 12
3 Shots on target 4
3 Corners 6
17 Free kicks against 10
1 Yellow cards 4
0 Red cards 0
The table before the match Paderborn 10. · Nurnberg 11.
# Team K V U T +/− P
1 St Pauli 1 1 0 0 +3 3
2 Dresden 1 1 0 0 +3 3
3 Hamburg 1 1 0 0 +2 3
4 Karlsruhe 1 1 0 0 +2 3
5 Regensburg 1 1 0 0 +2 3
6 Fortuna Dusseldorf 1 1 0 0 +2 3
7 Werder Bremen 1 0 1 0 +0 1
8 Hannover 1 0 1 0 +0 1
9 Heidenheim 1 0 1 0 +0 1
10 Paderborn 1 0 1 0 +0 1
11 Nurnberg 1 0 1 0 +0 1
12 Erzgebirge Aue 1 0 1 0 +0 1
13 Schalke 04 1 0 0 1 -2 0
14 Hansa Rostock 1 0 0 1 -2 0
15 Darmstadt 1 0 0 1 -2 0
16 Sandhausen 1 0 0 1 -2 0
17 Holstein Kiel 1 0 0 1 -3 0
18 Ingolstadt 1 0 0 1 -3 0

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
2,56
U ✓
3,37
B
2,69
Over/under goals
O1,5 ✓
O2,5 ✓
1,90
U2,5
1,89
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.