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

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 58%
83%
33%
Points per game
2,5
1,2
Over 2.5 Ø 58%
83%
33%
Both score Ø 25%
33%
17%
Average goals
3,3
2,2
Scored
2,0
0,8
Conceded
1,3
1,3
Goal diff per game
+0,7
-0,5
This season — 2. Bundesliga · 13/13 matches
Win Ø 46%
54%
38%
Points per game
1,8
1,4
Over 2.5 Ø 54%
69%
38%
Both score Ø 39%
46%
31%
Average goals
2,8
2,5
Scored
1,5
1,3
Conceded
1,4
1,2
Goal diff per game
+0,1
+0,2
🔒 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

15 Shots 12
9 Shots on target 4
7 Corners 10
11 Free kicks against 13
4 Yellow cards 2
0 Red cards 0
The table before the match Fortuna Dusseldorf 5. · Paderborn 12.
# Team K V U T +/− P
1 Hamburg 14 9 2 3 +12 29
2 Holstein Kiel 14 8 4 2 +10 28
3 Greuther Furth 14 8 3 3 +11 27
4 Bochum 14 8 2 4 +11 26
5 Fortuna Dusseldorf 13 7 2 4 +1 23
6 Erzgebirge Aue 14 6 4 4 +7 22
7 Heidenheim 14 6 4 4 +3 22
8 Osnabruck 14 6 4 4 +0 22
9 Hannover 14 6 2 6 +5 20
10 Karlsruhe 14 6 1 7 +2 19
11 Nurnberg 14 5 4 5 +2 19
12 Paderborn 13 5 3 5 +2 18
13 Darmstadt 14 5 3 6 +1 18
14 Regensburg 14 4 5 5 -2 17
15 Braunschweig 14 3 3 8 -18 12
16 Sandhausen 14 3 2 9 -19 11
17 St Pauli 13 1 5 7 -10 8
18 Wurzburger Kickers 13 1 1 11 -18 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 ✓
2,38
U
3,35
B
2,89
Over/under goals
O1,5 ✓
O2,5 ✓
1,75
U2,5
2,04
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.