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2. Bundesliga
2–1
Full-time

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 Wurzburger Kickers
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,5
0,8
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
50%
50%
Average goals
2,8
2,7
Scored
1,5
1,0
Conceded
1,3
1,7
Goal diff per game
+0,2
-0,7
This season — 2. Bundesliga · 17/17 matches
Win Ø 27%
41%
12%
Points per game
1,5
0,5
Over 2.5 Ø 62%
59%
65%
Both score Ø 56%
47%
65%
Average goals
2,7
3,2
Scored
1,5
1,1
Conceded
1,2
2,1
Goal diff per game
+0,2
-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: 0–0

16 Shots 12
4 Shots on target 6
6 Corners 3
8 Free kicks against 15
2 Yellow cards 4
0 Red cards 0
The table before the match Erzgebirge Aue 9. · Wurzburger Kickers 18.
# Team K V U T +/− P
1 Hamburg 17 11 3 3 +19 36
2 Bochum 17 10 3 4 +15 33
3 Holstein Kiel 17 9 5 3 +11 32
4 Fortuna Dusseldorf 17 9 4 4 +5 31
5 Greuther Furth 17 8 5 4 +10 29
6 Hannover 17 8 2 7 +8 26
7 Karlsruhe 17 8 2 7 +4 26
8 Heidenheim 17 7 5 5 +2 26
9 Erzgebirge Aue 17 7 4 6 +4 25
10 Paderborn 17 7 4 6 +3 25
11 Osnabruck 17 6 4 7 -7 22
12 Nurnberg 17 5 5 7 -3 20
13 Regensburg 17 5 5 7 -4 20
14 Darmstadt 17 5 3 9 -5 18
15 St Pauli 17 3 7 7 -7 16
16 Sandhausen 17 4 3 10 -17 15
17 Braunschweig 17 3 5 9 -20 14
18 Wurzburger Kickers 17 2 3 12 -18 9

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 ✓
2,14
U
3,39
B
3,32
Over/under goals
O1,5 ✓
O2,5 ✓
1,90
U2,5
1,89
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.