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

Paderborn Heidenheim
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,5
2,0
Over 2.5 Ø 42%
33%
50%
Both score Ø 50%
67%
33%
Average goals
2,3
2,5
Scored
1,3
1,5
Conceded
1,0
1,0
Goal diff per game
+0,3
+0,5
This season — 2. Bundesliga · 17/17 matches
Win Ø 44%
41%
47%
Points per game
1,6
1,6
Over 2.5 Ø 59%
59%
59%
Both score Ø 59%
71%
47%
Average goals
2,9
2,6
Scored
1,8
1,2
Conceded
1,1
1,4
Goal diff per game
+0,6
-0,1
🔒 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: 0–0

12 Shots 19
3 Shots on target 6
3 Corners 11
14 Free kicks against 12
3 Yellow cards 3
0 Red cards 0
The table before the match Paderborn 6. · Heidenheim 8.
# Team K V U T +/− P
1 St Pauli 18 11 3 4 +14 36
2 Darmstadt 17 10 2 5 +19 32
3 Hamburg 17 7 8 2 +13 29
4 Schalke 04 17 9 2 6 +11 29
5 Regensburg 17 8 4 5 +9 28
6 Paderborn 17 7 6 4 +11 27
7 Nurnberg 17 7 6 4 +4 27
8 Heidenheim 17 8 3 6 -2 27
9 Werder Bremen 17 7 5 5 +4 26
10 Karlsruhe 17 6 6 5 +3 24
11 Dresden 17 7 1 9 -2 22
12 Holstein Kiel 18 5 6 7 -7 21
13 Fortuna Dusseldorf 18 5 5 8 -2 20
14 Hannover 17 5 5 7 -10 20
15 Hansa Rostock 17 5 4 8 -10 19
16 Sandhausen 18 4 5 9 -16 17
17 Erzgebirge Aue 17 3 5 9 -13 14
18 Ingolstadt 17 1 4 12 -26 7

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
2,43
U
3,46
B ✓
2,80
Over/under goals
O1,5 ✓
O2,5 ✓
1,75
U2,5
2,08
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.