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2. Bundesliga
1–0
Full-time
Ingolstadt
T T T T U

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 Ingolstadt
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,2
0,7
Over 2.5 Ø 67%
67%
67%
Both score Ø 59%
67%
50%
Average goals
3,2
3,0
Scored
0,8
0,8
Conceded
2,3
2,2
Goal diff per game
-1,5
-1,3
This season — 2. Bundesliga · 10/10 matches
Win Ø 5%
0%
10%
Points per game
0,4
0,5
Over 2.5 Ø 60%
50%
70%
Both score Ø 55%
60%
50%
Average goals
2,5
3,1
Scored
0,7
0,7
Conceded
1,8
2,4
Goal diff per game
-1,1
-1,7
🔒 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

19 Shots 9
5 Shots on target 2
7 Corners 3
11 Free kicks against 12
3 Yellow cards 2
1 Red cards 0
The table before the match Erzgebirge Aue 18. · Ingolstadt 17.
# Team K V U T +/− P
1 St Pauli 10 7 1 2 +13 22
2 Regensburg 10 5 4 1 +10 19
3 Schalke 04 10 6 1 3 +6 19
4 Paderborn 10 5 3 2 +10 18
5 Nurnberg 10 4 6 0 +5 18
6 Darmstadt 10 5 1 4 +11 16
7 Karlsruhe 10 4 4 2 +4 16
8 Hamburg 10 3 6 1 +4 15
9 Heidenheim 10 4 3 3 -1 15
10 Werder Bremen 10 4 2 4 -1 14
11 Dresden 10 4 1 5 +1 13
12 Fortuna Dusseldorf 10 3 3 4 -2 12
13 Hansa Rostock 10 3 2 5 -4 11
14 Hannover 10 3 2 5 -6 11
15 Holstein Kiel 10 2 3 5 -10 9
16 Sandhausen 10 2 2 6 -12 8
17 Ingolstadt 10 1 2 7 -17 5
18 Erzgebirge Aue 10 0 4 6 -11 4

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 ✓
2,40
U
3,32
B
2,91
Over/under goals
U1,5 ✓
O2,5
1,89
U2,5 ✓
1,90
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.