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

Greuther Furth Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,5
1,2
Over 2.5 Ø 75%
83%
67%
Both score Ø 42%
33%
50%
Average goals
3,2
2,7
Scored
1,7
1,0
Conceded
1,5
1,7
Goal diff per game
+0,2
-0,7
This season — 2. Bundesliga · 15/15 matches
Win Ø 47%
53%
40%
Points per game
1,8
1,4
Over 2.5 Ø 57%
67%
47%
Both score Ø 50%
60%
40%
Average goals
3,2
2,5
Scored
1,9
1,3
Conceded
1,3
1,2
Goal diff per game
+0,7
+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: 1–1

22 Shots 11
5 Shots on target 5
6 Corners 3
17 Free kicks against 19
3 Yellow cards 0
0 Red cards 0
The table before the match Greuther Furth 4. · Paderborn 11.
# Team K V U T +/− P
1 Hamburg 15 9 3 3 +12 30
2 Bochum 15 9 2 4 +13 29
3 Holstein Kiel 15 8 5 2 +10 29
4 Greuther Furth 15 8 3 4 +10 27
5 Fortuna Dusseldorf 15 8 3 4 +2 27
6 Hannover 15 7 2 6 +6 23
7 Erzgebirge Aue 15 6 4 5 +6 22
8 Karlsruhe 15 7 1 7 +3 22
9 Osnabruck 15 6 4 5 -1 22
10 Heidenheim 15 6 4 5 -1 22
11 Paderborn 15 6 3 6 +2 21
12 Nurnberg 15 5 5 5 +2 20
13 Darmstadt 15 5 3 7 +0 18
14 Regensburg 15 4 5 6 -4 17
15 Sandhausen 15 4 2 9 -15 14
16 Braunschweig 15 3 4 8 -18 13
17 St Pauli 15 1 7 7 -10 10
18 Wurzburger Kickers 15 2 2 11 -17 8

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
2,10
U ✓
3,55
B
3,31
Over/under goals
O1,5 ✓
O2,5
1,55
U2,5 ✓
2,40
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.