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2. Bundesliga
Regensburg
S T T T T
0–0
Full-time

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

Regensburg Fortuna Dusseldorf
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,5
1,0
Over 2.5 Ø 59%
67%
50%
Both score Ø 42%
50%
33%
Average goals
3,0
2,2
Scored
1,2
0,8
Conceded
1,8
1,3
Goal diff per game
-0,7
-0,5
This season — 2. Bundesliga · 23/23 matches
Win Ø 35%
39%
30%
Points per game
1,3
1,1
Over 2.5 Ø 61%
74%
48%
Both score Ø 61%
61%
61%
Average goals
3,4
2,6
Scored
1,8
1,2
Conceded
1,6
1,4
Goal diff per game
+0,2
-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

9 Shots 10
3 Shots on target 4
0 Corners 6
13 Free kicks against 15
1 Yellow cards 1
0 Red cards 0
The table before the match Regensburg 10. · Fortuna Dusseldorf 13.
# Team K V U T +/− P
1 Darmstadt 24 13 5 6 +19 44
2 St Pauli 24 13 5 6 +13 44
3 Werder Bremen 23 12 6 5 +13 42
4 Hamburg 23 10 11 2 +21 41
5 Schalke 04 24 12 5 7 +18 41
6 Nurnberg 24 11 6 7 +2 39
7 Heidenheim 23 11 5 7 +0 38
8 Paderborn 24 8 9 7 +8 33
9 Karlsruhe 24 8 9 7 +5 33
10 Regensburg 23 9 4 10 +5 31
11 Holstein Kiel 24 8 7 9 -8 31
12 Hannover 24 8 7 9 -9 31
13 Fortuna Dusseldorf 23 7 5 11 -4 26
14 Dresden 24 7 5 12 -9 26
15 Hansa Rostock 24 6 7 11 -11 25
16 Sandhausen 23 6 7 10 -15 25
17 Erzgebirge Aue 24 3 7 14 -25 16
18 Ingolstadt 24 3 6 15 -23 15

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
2,56
U ✓
3,35
B
2,70
Over/under goals
U1,5 ✓
O2,5
1,78
U2,5 ✓
2,02
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.