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2. Bundesliga
Dresden
U S U S S
0–3
Full-time
Paderborn
U U U S 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

Dresden Paderborn
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,3
1,5
Over 2.5 Ø 59%
50%
67%
Both score Ø 67%
50%
83%
Average goals
2,7
3,5
Scored
2,0
2,0
Conceded
0,7
1,5
Goal diff per game
+1,3
+0,5
This season — 2. Bundesliga · 4/4 matches
Win Ø 63%
75%
50%
Points per game
2,5
2,0
Over 2.5 Ø 63%
50%
75%
Both score Ø 63%
50%
75%
Average goals
2,8
3,3
Scored
2,3
2,3
Conceded
0,5
1,0
Goal diff per game
+1,8
+1,3
🔒 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: 0–3

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

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
2,48
U
3,27
B ✓
2,83
Over/under goals
O1,5 ✓
O2,5 ✓
1,74
U2,5
2,08
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.