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2. Bundesliga
Paderborn
S S T T T
2–2
Full-time
Braunschweig
U T T 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 Braunschweig
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,5
1,2
Over 2.5 Ø 67%
50%
83%
Both score Ø 42%
17%
67%
Average goals
2,7
3,7
Scored
1,5
1,3
Conceded
1,2
2,3
Goal diff per game
+0,3
-1,0
This season — 2. Bundesliga · 11/11 matches
Win Ø 32%
36%
27%
Points per game
1,3
1,0
Over 2.5 Ø 55%
36%
73%
Both score Ø 41%
27%
55%
Average goals
2,5
3,2
Scored
1,3
1,0
Conceded
1,2
2,2
Goal diff per game
+0,1
-1,2
🔒 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: 2–1

7 Shots 11
3 Shots on target 4
2 Corners 2
17 Free kicks against 13
5 Yellow cards 2
1 Red cards 1
The table before the match Paderborn 14. · Braunschweig 16.
# Team K V U T +/− P
1 Hamburg 12 7 2 3 +9 23
2 Holstein Kiel 11 6 4 1 +8 22
3 Greuther Furth 12 6 3 3 +7 21
4 Bochum 12 6 2 4 +7 20
5 Heidenheim 12 5 4 3 +4 19
6 Osnabruck 11 5 4 2 +3 19
7 Fortuna Dusseldorf 11 5 2 4 -5 17
8 Nurnberg 11 4 4 3 +4 16
9 Karlsruhe 11 5 1 5 +4 16
10 Erzgebirge Aue 11 4 4 3 +3 16
11 Hannover 12 5 1 6 +1 16
12 Regensburg 12 4 4 4 +0 16
13 Darmstadt 12 4 3 5 +0 15
14 Paderborn 11 4 2 5 +1 14
15 Sandhausen 12 3 2 7 -13 11
16 Braunschweig 11 3 2 6 -13 11
17 St Pauli 11 1 5 5 -6 8
18 Wurzburger Kickers 11 1 1 9 -14 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
1,61
U ✓
4,01
B
5,13
Over/under goals
O1,5 ✓
O2,5 ✓
1,64
U2,5
2,21
O3,5 ✓
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.