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2. Bundesliga
1–4
Full-time
Paderborn
U 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

Erzgebirge Aue Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,5
1,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 42%
33%
50%
Average goals
1,7
2,8
Scored
0,3
2,0
Conceded
1,3
0,8
Goal diff per game
-1,0
+1,2
This season — 2. Bundesliga · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,5
1,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 42%
33%
50%
Average goals
1,7
2,8
Scored
0,3
2,0
Conceded
1,3
0,8
Goal diff per game
-1,0
+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: 0–3

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

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
3,51
U
3,51
B ✓
2,03
Over/under goals
O1,5 ✓
–
O2,5 ✓
1,72
U2,5
2,12
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.