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

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 Erzgebirge Aue
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,7
1,7
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
33%
67%
Average goals
2,3
3,5
Scored
0,7
2,2
Conceded
1,7
1,3
Goal diff per game
-1,0
+0,8
This season — 2. Bundesliga · 14/14 matches
Win Ø 40%
36%
43%
Points per game
1,3
1,6
Over 2.5 Ø 50%
43%
57%
Both score Ø 43%
36%
50%
Average goals
2,5
2,8
Scored
1,3
1,6
Conceded
1,2
1,1
Goal diff per game
+0,1
+0,5
🔒 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

16 Shots 9
8 Shots on target 3
8 Corners 2
12 Free kicks against 16
3 Yellow cards 1
0 Red cards 0
The table before the match Paderborn 13. · Erzgebirge Aue 6.
# Team K V U T +/− P
1 Hamburg 15 9 3 3 +12 30
2 Holstein Kiel 15 8 5 2 +10 29
3 Greuther Furth 15 8 3 4 +10 27
4 Bochum 14 8 2 4 +11 26
5 Fortuna Dusseldorf 14 8 2 4 +2 26
6 Erzgebirge Aue 14 6 4 4 +7 22
7 Karlsruhe 15 7 1 7 +3 22
8 Osnabruck 15 6 4 5 -1 22
9 Heidenheim 15 6 4 5 -1 22
10 Hannover 14 6 2 6 +5 20
11 Nurnberg 15 5 5 5 +2 20
12 Darmstadt 14 5 3 6 +1 18
13 Paderborn 14 5 3 6 +1 18
14 Regensburg 14 4 5 5 -2 17
15 Sandhausen 15 4 2 9 -15 14
16 Braunschweig 14 3 3 8 -18 12
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 ✓
1,77
U
3,92
B
4,12
Over/under goals
O1,5 ✓
O2,5 ✓
1,61
U2,5
2,28
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.