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2. Bundesliga
Paderborn
S T U U T
3–3
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 9%
17%
0%
Points per game
0,8
0,2
Over 2.5 Ø 75%
67%
83%
Both score Ø 67%
67%
67%
Average goals
3,2
4,0
Scored
1,3
1,0
Conceded
1,8
3,0
Goal diff per game
-0,5
-2,0
This season — 2. Bundesliga · 23/23 matches
Win Ø 24%
35%
13%
Points per game
1,4
0,7
Over 2.5 Ø 59%
61%
57%
Both score Ø 64%
70%
57%
Average goals
3,0
2,8
Scored
1,7
0,9
Conceded
1,3
2,0
Goal diff per game
+0,3
-1,1
🔒 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: 1–0

11 Shots 25
9 Shots on target 7
7 Corners 11
14 Free kicks against 14
3 Yellow cards 1
0 Red cards 0
The table before the match Paderborn 8. · Erzgebirge Aue 18.
# Team K V U T +/− P
1 Werder Bremen 23 12 6 5 +13 42
2 Hamburg 23 10 11 2 +21 41
3 Darmstadt 23 12 5 6 +18 41
4 St Pauli 23 12 5 6 +11 41
5 Schalke 04 23 12 4 7 +18 40
6 Heidenheim 23 11 5 7 +0 38
7 Nurnberg 23 10 6 7 +0 36
8 Paderborn 23 8 8 7 +8 32
9 Karlsruhe 23 8 8 7 +5 32
10 Regensburg 23 9 4 10 +5 31
11 Holstein Kiel 23 8 7 8 -6 31
12 Hannover 23 7 7 9 -11 28
13 Fortuna Dusseldorf 23 7 5 11 -4 26
14 Dresden 23 7 5 11 -8 26
15 Hansa Rostock 23 6 7 10 -9 25
16 Sandhausen 23 6 7 10 -15 25
17 Ingolstadt 23 3 6 14 -21 15
18 Erzgebirge Aue 23 3 6 14 -25 15

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
1,52
U ✓
4,48
B
5,69
Over/under goals
O1,5 ✓
O2,5 ✓
1,50
U2,5
2,55
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.