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

Nurnberg Regensburg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,0
0,5
Over 2.5 Ø 83%
83%
83%
Both score Ø 67%
67%
67%
Average goals
3,8
3,5
Scored
1,2
1,5
Conceded
2,7
2,0
Goal diff per game
-1,5
-0,5
This season — 2. Bundesliga · 22/22 matches
Win Ø 41%
41%
41%
Points per game
1,5
1,4
Over 2.5 Ø 71%
64%
77%
Both score Ø 60%
55%
64%
Average goals
2,8
3,5
Scored
1,4
1,9
Conceded
1,5
1,6
Goal diff per game
-0,1
+0,3
🔒 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: 1–0

21 Shots 18
11 Shots on target 3
6 Corners 4
11 Free kicks against 13
3 Yellow cards 2
0 Red cards 0
The table before the match Nurnberg 7. · Regensburg 10.
# Team K V U T +/− P
1 Werder Bremen 23 12 6 5 +13 42
2 Hamburg 23 10 11 2 +21 41
3 St Pauli 22 12 5 5 +14 41
4 Darmstadt 22 12 4 6 +18 40
5 Schalke 04 23 12 4 7 +18 40
6 Heidenheim 23 11 5 7 +0 38
7 Nurnberg 22 9 6 7 -2 33
8 Paderborn 23 8 8 7 +8 32
9 Karlsruhe 23 8 8 7 +5 32
10 Regensburg 22 9 4 9 +7 31
11 Holstein Kiel 23 8 7 8 -6 31
12 Dresden 23 7 5 11 -8 26
13 Hannover 22 6 7 9 -14 25
14 Sandhausen 23 6 7 10 -15 25
15 Hansa Rostock 22 6 6 10 -9 24
16 Fortuna Dusseldorf 22 6 5 11 -6 23
17 Ingolstadt 23 3 6 14 -21 15
18 Erzgebirge Aue 22 3 6 13 -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 ✓
2,37
U
3,39
B
2,91
Over/under goals
O1,5 ✓
O2,5
1,76
U2,5 ✓
2,04
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.