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

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

Paderborn Hamburg
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,7
Over 2.5 Ø 50%
67%
33%
Both score Ø 67%
67%
67%
Average goals
3,2
2,2
Scored
2,0
1,3
Conceded
1,2
0,8
Goal diff per game
+0,8
+0,5
This season — 2. Bundesliga · 10/10 matches
Win Ø 40%
50%
30%
Points per game
1,8
1,5
Over 2.5 Ø 60%
70%
50%
Both score Ø 75%
70%
80%
Average goals
3,2
2,8
Scored
2,1
1,6
Conceded
1,1
1,2
Goal diff per game
+1,0
+0,4
🔒 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

13 Shots 24
9 Shots on target 9
8 Corners 10
15 Free kicks against 11
2 Yellow cards 5
0 Red cards 0
The table before the match Paderborn 4. · Hamburg 8.
# Team K V U T +/− P
1 St Pauli 10 7 1 2 +13 22
2 Regensburg 10 5 4 1 +10 19
3 Schalke 04 10 6 1 3 +6 19
4 Paderborn 10 5 3 2 +10 18
5 Nurnberg 10 4 6 0 +5 18
6 Darmstadt 10 5 1 4 +11 16
7 Karlsruhe 10 4 4 2 +4 16
8 Hamburg 10 3 6 1 +4 15
9 Heidenheim 10 4 3 3 -1 15
10 Werder Bremen 10 4 2 4 -1 14
11 Dresden 10 4 1 5 +1 13
12 Fortuna Dusseldorf 10 3 3 4 -2 12
13 Hansa Rostock 10 3 2 5 -4 11
14 Hannover 10 3 2 5 -6 11
15 Holstein Kiel 10 2 3 5 -10 9
16 Sandhausen 10 2 2 6 -12 8
17 Ingolstadt 10 1 2 7 -17 5
18 Erzgebirge Aue 10 0 4 6 -11 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
2,33
U
3,58
B ✓
2,82
Over/under goals
O1,5 ✓
O2,5 ✓
1,56
U2,5
2,39
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.