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2. Bundesliga
Dresden
T T T S T
0–1
Full-time
Nurnberg
S U S U U

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 Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,0
1,7
Over 2.5 Ø 67%
83%
50%
Both score Ø 42%
33%
50%
Average goals
2,8
2,0
Scored
1,2
1,2
Conceded
1,7
0,8
Goal diff per game
-0,5
+0,3
This season — 2. Bundesliga · 9/9 matches
Win Ø 39%
44%
33%
Points per game
1,4
1,7
Over 2.5 Ø 56%
67%
44%
Both score Ø 39%
33%
44%
Average goals
2,7
2,0
Scored
1,4
1,2
Conceded
1,2
0,8
Goal diff per game
+0,2
+0,4
🔒 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: 0–1

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

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
2,81
U
3,20
B ✓
2,53
Over/under goals
U1,5 ✓
O2,5
2,00
U2,5 ✓
1,81
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.