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

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

Hamburg Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
1,0
Over 2.5 Ø 42%
50%
33%
Both score Ø 59%
67%
50%
Average goals
3,2
3,0
Scored
2,0
1,3
Conceded
1,2
1,7
Goal diff per game
+0,8
-0,3
This season — 2. Bundesliga · 26/27 matches
Win Ø 36%
38%
33%
Points per game
1,6
1,4
Over 2.5 Ø 55%
50%
59%
Both score Ø 72%
73%
70%
Average goals
2,8
3,1
Scored
1,8
1,7
Conceded
1,0
1,4
Goal diff per game
+0,7
+0,3
🔒 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

13 Shots 4
6 Shots on target 2
5 Corners 0
7 Free kicks against 11
0 Yellow cards 1
0 Red cards 0
The table before the match Hamburg 6. · Paderborn 8.
# Team K V U T +/− P
1 St Pauli 27 15 6 6 +16 51
2 Werder Bremen 27 15 6 6 +15 51
3 Schalke 04 28 15 5 8 +22 50
4 Darmstadt 27 14 6 7 +19 48
5 Nurnberg 27 13 7 7 +6 46
6 Hamburg 26 10 12 4 +19 42
7 Heidenheim 27 12 6 9 -1 42
8 Paderborn 27 9 10 8 +8 37
9 Karlsruhe 27 9 10 8 +6 37
10 Regensburg 27 10 6 11 +5 36
11 Hansa Rostock 27 9 7 11 -8 34
12 Holstein Kiel 27 9 7 11 -9 34
13 Fortuna Dusseldorf 27 8 8 11 -1 32
14 Hannover 27 8 7 12 -15 31
15 Sandhausen 27 7 9 11 -14 30
16 Dresden 28 7 7 14 -11 28
17 Erzgebirge Aue 27 4 7 16 -28 19
18 Ingolstadt 28 4 6 18 -29 18

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
1,68
U
3,99
B ✓
4,68
Over/under goals
O1,5 ✓
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.