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2. Bundesliga
Dresden
T T T T T
1–0
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

Dresden Fortuna Dusseldorf
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,5
1,3
Over 2.5 Ø 67%
67%
67%
Both score Ø 59%
17%
100%
Average goals
2,3
3,2
Scored
0,7
1,7
Conceded
1,7
1,5
Goal diff per game
-1,0
+0,2
This season — 2. Bundesliga · 13/13 matches
Win Ø 31%
31%
31%
Points per game
1,0
1,2
Over 2.5 Ø 58%
62%
54%
Both score Ø 54%
31%
77%
Average goals
2,5
3,0
Scored
1,1
1,5
Conceded
1,4
1,5
Goal diff per game
-0,3
-0,1
🔒 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: 1–0

7 Shots 10
3 Shots on target 2
4 Corners 5
12 Free kicks against 13
3 Yellow cards 2
0 Red cards 0
The table before the match Dresden 16. · Fortuna Dusseldorf 12.
# Team K V U T +/− P
1 Darmstadt 14 8 2 4 +19 26
2 St Pauli 13 8 2 3 +13 26
3 Paderborn 14 7 4 3 +12 25
4 Regensburg 14 7 4 3 +11 25
5 Nurnberg 14 6 6 2 +7 24
6 Hamburg 14 5 8 1 +8 23
7 Schalke 04 14 7 2 5 +6 23
8 Werder Bremen 14 5 5 4 +0 20
9 Heidenheim 13 5 3 5 -6 18
10 Karlsruhe 13 4 5 4 +0 17
11 Hansa Rostock 14 5 2 7 -7 17
12 Fortuna Dusseldorf 13 4 4 5 -1 16
13 Erzgebirge Aue 14 3 5 6 -7 14
14 Hannover 14 3 5 6 -8 14
15 Holstein Kiel 13 3 5 5 -9 14
16 Dresden 13 4 1 8 -4 13
17 Sandhausen 13 3 3 7 -12 12
18 Ingolstadt 13 1 2 10 -22 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 ✓
2,98
U
3,37
B
2,32
Over/under goals
U1,5 ✓
O2,5
1,80
U2,5 ✓
2,00
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.