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2. Bundesliga
Referee: R Braun
Bielefeld
T U T S T
1–1
Full-time
Nurnberg
T S S U T

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Bielefeld Nurnberg
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,7
1,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
67%
50%
Average goals
3,0
2,7
Scored
1,0
1,3
Conceded
2,0
1,3
Goal diff per game
-1,0
+0,0
xG created Pro
xG conceded Pro
xG diff Pro
This season — 2. Bundesliga · 29/29 matches
Win Ø 31%
28%
34%
Points per game
1,1
1,3
Over 2.5 Ø 55%
55%
55%
Both score Ø 62%
62%
62%
Average goals
3,0
2,7
Scored
1,4
1,3
Conceded
1,5
1,4
Goal diff per game
-0,1
-0,1
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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

1,22 xG 1,05
66% Possession 34%
10 Shots 9
2 Shots on target 3
6 Blocked shots 2
2 Goalkeeper saves 1
2 Corners 2
7 Offside 3
12 Free kicks against 13
2 Yellow cards 1
0 Red cards 0
The table before the match Bielefeld 13. · Nurnberg 9.
# Team K V U T +/− xG +/− P
1 Schalke 04 29 17 7 5 +16 +12.6 58
2 Paderborn 29 17 6 6 +17 +14.2 57
3 Elversberg 30 16 7 7 +20 +7.2 55
4 Hannover 29 15 8 6 +14 +13.6 53
5 Darmstadt 29 13 11 5 +16 +4.2 50
6 Hertha 29 13 8 8 +9 -4.4 47
7 Kaiserslautern 30 14 4 12 +5 -1.0 46
8 Karlsruhe 30 11 7 12 -9 -20.4 40
9 Nurnberg 29 10 7 12 -2 +0.4 37
10 Bochum 29 9 9 11 +2 +5.0 36
11 Holstein Kiel 30 9 8 13 -4 -10.0 35
12 Dresden 29 8 8 13 +0 +0.1 32
13 Bielefeld 29 8 7 14 -2 +2.2 31
14 Fortuna Dusseldorf 29 9 4 16 -18 -5.2 31
15 Magdeburg 29 9 3 17 -9 +7.3 30
16 Braunschweig 29 8 6 15 -18 -1.6 30
17 Greuther Furth 29 8 6 15 -21 -12.3 30
18 Preußen Münster 29 6 10 13 -16 -11.9 28

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
1,93
U ✓
3,61
B
3,45
Over/under goals
O1,5 ✓
O2,5
1,65
U2,5 ✓
2,12
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

R Braun · 47 kamper i vår database

🟨 Yellow cards
4,7 / match
Above average
⚽ Free kicks
25,1 / match
Average

🟥 Red cards: 0,13 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.