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2. Bundesliga
Paderborn
U U T U S
1–1
Full-time

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 Fortuna Dusseldorf
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
1,0
1,7
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
67%
33%
Average goals
4,3
2,0
Scored
2,0
1,3
Conceded
2,3
0,7
Goal diff per game
-0,3
+0,7
This season — 2. Bundesliga · 25/25 matches
Win Ø 34%
36%
32%
Points per game
1,4
1,2
Over 2.5 Ø 56%
64%
48%
Both score Ø 64%
72%
56%
Average goals
3,2
2,5
Scored
1,8
1,2
Conceded
1,4
1,3
Goal diff per game
+0,4
+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: 0–1

18 Shots 15
8 Shots on target 5
7 Corners 5
14 Free kicks against 9
4 Yellow cards 4
0 Red cards 0
The table before the match Paderborn 8. · Fortuna Dusseldorf 14.
# Team K V U T +/− P
1 Darmstadt 26 14 6 6 +20 48
2 Werder Bremen 25 14 6 5 +15 48
3 St Pauli 25 14 5 6 +15 47
4 Nurnberg 25 12 6 7 +3 42
5 Hamburg 25 10 11 4 +19 41
6 Schalke 04 25 12 5 8 +17 41
7 Heidenheim 25 11 6 8 -1 39
8 Paderborn 25 9 9 7 +9 36
9 Karlsruhe 25 8 9 8 +3 33
10 Regensburg 25 9 5 11 +4 32
11 Hansa Rostock 26 8 7 11 -9 31
12 Holstein Kiel 26 8 7 11 -10 31
13 Hannover 25 8 7 10 -11 31
14 Fortuna Dusseldorf 25 8 6 11 -1 30
15 Sandhausen 26 7 9 10 -13 30
16 Dresden 25 7 5 13 -10 26
17 Erzgebirge Aue 25 4 7 14 -24 19
18 Ingolstadt 25 3 6 16 -26 15

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
1,87
U ✓
3,81
B
3,75
Over/under goals
O1,5 ✓
O2,5
1,65
U2,5 ✓
2,20
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.