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2. Bundesliga
Hannover
U T T U U
0–0
Full-time
Paderborn
S U T S S

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

Hannover Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,5
1,7
Over 2.5 Ø 58%
33%
83%
Both score Ø 84%
67%
100%
Average goals
2,0
3,7
Scored
0,7
2,0
Conceded
1,3
1,7
Goal diff per game
-0,7
+0,3
This season — 2. Bundesliga · 13/13 matches
Win Ø 39%
23%
54%
Points per game
1,0
1,8
Over 2.5 Ø 58%
38%
77%
Both score Ø 58%
38%
77%
Average goals
2,2
3,4
Scored
0,8
2,2
Conceded
1,4
1,2
Goal diff per game
-0,6
+0,9
🔒 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

17 Shots 15
5 Shots on target 3
8 Corners 3
9 Free kicks against 16
2 Yellow cards 2
1 Red cards 0
The table before the match Hannover 15. · Paderborn 3.
# Team K V U T +/− P
1 St Pauli 12 8 2 2 +17 26
2 Regensburg 13 7 4 2 +14 25
3 Paderborn 13 7 3 3 +12 24
4 Darmstadt 13 7 2 4 +15 23
5 Schalke 04 13 7 1 5 +6 22
6 Nurnberg 13 5 6 2 +6 21
7 Hamburg 13 4 8 1 +5 20
8 Werder Bremen 13 5 4 4 +0 19
9 Heidenheim 13 5 3 5 -6 18
10 Karlsruhe 13 4 5 4 +0 17
11 Hansa Rostock 13 5 2 6 -6 17
12 Fortuna Dusseldorf 13 4 4 5 -1 16
13 Holstein Kiel 13 3 5 5 -9 14
14 Dresden 13 4 1 8 -4 13
15 Hannover 13 3 4 6 -8 13
16 Sandhausen 12 3 3 6 -11 12
17 Erzgebirge Aue 13 2 5 6 -8 11
18 Ingolstadt 13 1 2 10 -22 5

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
2,72
U ✓
3,37
B
2,54
Over/under goals
U1,5 ✓
O2,5
1,73
U2,5 ✓
2,09
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.