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

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 Ingolstadt
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,7
0,2
Over 2.5 Ø 75%
83%
67%
Both score Ø 75%
100%
50%
Average goals
4,0
2,8
Scored
2,3
0,5
Conceded
1,7
2,3
Goal diff per game
+0,7
-1,8
This season — 2. Bundesliga · 12/12 matches
Win Ø 29%
50%
8%
Points per game
1,8
0,4
Over 2.5 Ø 71%
75%
67%
Both score Ø 59%
75%
42%
Average goals
3,4
2,9
Scored
2,2
0,6
Conceded
1,3
2,3
Goal diff per game
+0,9
-1,8
🔒 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

20 Shots 14
7 Shots on target 4
9 Corners 3
11 Free kicks against 11
0 Yellow cards 1
0 Red cards 0
The table before the match Paderborn 4. · Ingolstadt 18.
# Team K V U T +/− P
1 St Pauli 12 8 2 2 +17 26
2 Regensburg 12 7 4 1 +15 25
3 Schalke 04 12 7 1 4 +8 22
4 Paderborn 12 6 3 3 +11 21
5 Nurnberg 13 5 6 2 +6 21
6 Darmstadt 12 6 2 4 +13 20
7 Hamburg 12 4 7 1 +5 19
8 Werder Bremen 13 5 4 4 +0 19
9 Heidenheim 12 5 3 4 -4 18
10 Karlsruhe 12 4 4 4 +0 16
11 Fortuna Dusseldorf 12 4 3 5 -1 15
12 Hansa Rostock 12 4 2 6 -7 14
13 Holstein Kiel 13 3 5 5 -9 14
14 Dresden 13 4 1 8 -4 13
15 Hannover 12 3 3 6 -8 12
16 Sandhausen 12 3 3 6 -11 12
17 Erzgebirge Aue 12 1 5 6 -10 8
18 Ingolstadt 12 1 2 9 -21 5

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 ✓
1,48
U
4,41
B
6,18
Over/under goals
O1,5 ✓
O2,5 ✓
1,58
U2,5
2,36
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.