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2. Bundesliga
Ingolstadt
T T U T U
1–2
Full-time
Hannover
U U U T S

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

Ingolstadt Hannover
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,3
1,0
Over 2.5 Ø 42%
50%
33%
Both score Ø 50%
50%
50%
Average goals
2,3
2,2
Scored
0,5
0,7
Conceded
1,8
1,5
Goal diff per game
-1,3
-0,8
This season — 2. Bundesliga · 16/16 matches
Win Ø 16%
6%
25%
Points per game
0,4
1,1
Over 2.5 Ø 51%
63%
38%
Both score Ø 41%
50%
31%
Average goals
2,8
2,1
Scored
0,6
0,7
Conceded
2,2
1,4
Goal diff per game
-1,6
-0,7
🔒 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: 1–2

8 Shots 13
3 Shots on target 5
2 Corners 1
10 Free kicks against 14
4 Yellow cards 2
0 Red cards 0
The table before the match Ingolstadt 18. · Hannover 15.
# Team K V U T +/− P
1 St Pauli 16 11 2 3 +17 35
2 Darmstadt 16 9 2 5 +18 29
3 Schalke 04 17 9 2 6 +11 29
4 Regensburg 17 8 4 5 +9 28
5 Paderborn 16 7 6 3 +12 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 16 5 4 7 -1 19
12 Dresden 16 6 1 9 -3 19
13 Hansa Rostock 16 5 4 7 -7 19
14 Holstein Kiel 16 4 5 7 -10 17
15 Hannover 16 4 5 7 -11 17
16 Erzgebirge Aue 16 3 5 8 -12 14
17 Sandhausen 16 3 4 9 -17 13
18 Ingolstadt 16 1 4 11 -25 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
3,33
U
3,47
B ✓
2,11
Over/under goals
O1,5 ✓
O2,5 ✓
1,96
U2,5
1,85
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.