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2. Bundesliga
2–3
Full-time
Paderborn
S S T S T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Fortuna Dusseldorf Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,3
2,0
Over 2.5 Ø 67%
50%
83%
Both score Ø 67%
67%
67%
Average goals
2,7
3,5
Scored
1,2
2,5
Conceded
1,5
1,0
Goal diff per game
-0,3
+1,5
This season — 2. Bundesliga · 8/8 matches
Win Ø 44%
38%
50%
Points per game
1,4
1,8
Over 2.5 Ø 63%
50%
75%
Both score Ø 63%
63%
63%
Average goals
2,9
3,1
Scored
1,4
2,1
Conceded
1,5
1,0
Goal diff per game
-0,1
+1,1
🔒 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: 1–1

22 Shots 22
12 Shots on target 7
5 Corners 4
14 Free kicks against 10
3 Yellow cards 1
0 Red cards 0
The table before the match Fortuna Dusseldorf 11. · Paderborn 4.
# Team K V U T +/− P
1 Regensburg 8 5 2 1 +10 17
2 St Pauli 8 5 1 2 +8 16
3 Heidenheim 9 4 3 2 +1 15
4 Paderborn 8 4 2 2 +9 14
5 Hamburg 9 3 5 1 +4 14
6 Nurnberg 8 3 5 0 +4 14
7 Werder Bremen 9 4 2 3 +2 14
8 Dresden 8 4 1 3 +5 13
9 Schalke 04 8 4 1 3 +2 13
10 Karlsruhe 8 3 3 2 +3 12
11 Fortuna Dusseldorf 8 3 2 3 -1 11
12 Darmstadt 8 3 1 4 +3 10
13 Hannover 8 3 1 4 -5 10
14 Holstein Kiel 8 2 2 4 -8 8
15 Hansa Rostock 8 2 1 5 -6 7
16 Sandhausen 8 2 1 5 -7 7
17 Erzgebirge Aue 9 0 4 5 -10 4
18 Ingolstadt 8 1 1 6 -14 4

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
2,34
U
3,51
B ✓
2,87
Over/under goals
O1,5 ✓
O2,5 ✓
1,65
U2,5
2,24
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.