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2. Bundesliga
0–1
Full-time
Dresden
T T S T S

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

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 Dresden
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,0
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
50%
50%
Average goals
2,5
2,7
Scored
1,2
1,0
Conceded
1,3
1,7
Goal diff per game
-0,2
-0,7
This season — 2. Bundesliga · 16/16 matches
Win Ø 29%
19%
38%
Points per game
0,9
1,2
Over 2.5 Ø 57%
50%
63%
Both score Ø 47%
56%
38%
Average goals
2,5
2,6
Scored
0,9
1,2
Conceded
1,6
1,4
Goal diff per game
-0,8
-0,2
🔒 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: 0–0

18 Shots 10
9 Shots on target 3
5 Corners 6
10 Free kicks against 14
1 Yellow cards 1
0 Red cards 0
The table before the match Erzgebirge Aue 16. · Dresden 13.
# Team K V U T +/− P
1 St Pauli 17 11 3 3 +17 36
2 Darmstadt 17 10 2 5 +19 32
3 Schalke 04 17 9 2 6 +11 29
4 Regensburg 17 8 4 5 +9 28
5 Paderborn 17 7 6 4 +11 27
6 Nurnberg 17 7 6 4 +4 27
7 Heidenheim 16 8 3 5 -1 27
8 Hamburg 16 6 8 2 +10 26
9 Werder Bremen 17 7 5 5 +4 26
10 Karlsruhe 16 5 6 5 +2 21
11 Fortuna Dusseldorf 17 5 5 7 -1 20
12 Hannover 17 5 5 7 -10 20
13 Dresden 16 6 1 9 -3 19
14 Hansa Rostock 16 5 4 7 -7 19
15 Holstein Kiel 17 4 6 7 -10 18
16 Erzgebirge Aue 16 3 5 8 -12 14
17 Sandhausen 17 3 5 9 -17 14
18 Ingolstadt 17 1 4 12 -26 7

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
2,65
U
3,32
B ✓
2,61
Over/under goals
U1,5 ✓
O2,5
1,94
U2,5 ✓
1,86
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.