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2. Bundesliga
Paderborn
U S T S U
1–0
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 Wurzburger Kickers
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
0,8
Over 2.5 Ø 59%
67%
50%
Both score Ø 67%
67%
67%
Average goals
2,7
3,0
Scored
1,2
1,2
Conceded
1,5
1,8
Goal diff per game
-0,3
-0,7
This season — 2. Bundesliga · 16/16 matches
Win Ø 26%
38%
13%
Points per game
1,4
0,6
Over 2.5 Ø 57%
44%
69%
Both score Ø 57%
44%
69%
Average goals
2,5
3,3
Scored
1,3
1,1
Conceded
1,2
2,2
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: 1–0

9 Shots 5
5 Shots on target 2
1 Corners 4
8 Free kicks against 21
1 Yellow cards 3
0 Red cards 0
The table before the match Paderborn 10. · Wurzburger Kickers 18.
# Team K V U T +/− P
1 Hamburg 16 10 3 3 +17 33
2 Bochum 16 10 2 4 +15 32
3 Fortuna Dusseldorf 17 9 4 4 +5 31
4 Greuther Furth 17 8 5 4 +10 29
5 Holstein Kiel 16 8 5 3 +9 29
6 Karlsruhe 16 8 1 7 +4 25
7 Erzgebirge Aue 17 7 4 6 +4 25
8 Heidenheim 16 7 4 5 +2 25
9 Hannover 16 7 2 7 +5 23
10 Paderborn 16 6 4 6 +2 22
11 Osnabruck 17 6 4 7 -7 22
12 Nurnberg 16 5 5 6 +0 20
13 Regensburg 16 5 5 6 -2 20
14 Darmstadt 16 5 3 8 -3 18
15 Sandhausen 16 4 2 10 -17 14
16 Braunschweig 16 3 5 8 -18 14
17 St Pauli 16 2 7 7 -9 13
18 Wurzburger Kickers 16 2 3 11 -17 9

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 ✓
1,63
U
3,90
B
5,16
Over/under goals
U1,5 ✓
O2,5
1,57
U2,5 ✓
2,37
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.