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2. Bundesliga
Osnabruck
T S T T S
2–3
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

Osnabruck Wurzburger Kickers
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,5
0,2
Over 2.5 Ø 59%
50%
67%
Both score Ø 58%
33%
83%
Average goals
2,2
3,5
Scored
1,0
1,2
Conceded
1,2
2,3
Goal diff per game
-0,2
-1,2
This season — 2. Bundesliga · 14/14 matches
Win Ø 25%
43%
7%
Points per game
1,6
0,4
Over 2.5 Ø 61%
50%
71%
Both score Ø 68%
64%
71%
Average goals
2,6
3,4
Scored
1,3
1,1
Conceded
1,3
2,4
Goal diff per game
+0,0
-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: 1–0

12 Shots 14
5 Shots on target 6
6 Corners 2
18 Free kicks against 9
2 Yellow cards 0
0 Red cards 0
The table before the match Osnabruck 8. · Wurzburger Kickers 18.
# Team K V U T +/− P
1 Hamburg 14 9 2 3 +12 29
2 Holstein Kiel 14 8 4 2 +10 28
3 Greuther Furth 15 8 3 4 +10 27
4 Bochum 14 8 2 4 +11 26
5 Fortuna Dusseldorf 14 8 2 4 +2 26
6 Erzgebirge Aue 14 6 4 4 +7 22
7 Karlsruhe 15 7 1 7 +3 22
8 Osnabruck 14 6 4 4 +0 22
9 Heidenheim 15 6 4 5 -1 22
10 Hannover 14 6 2 6 +5 20
11 Nurnberg 14 5 4 5 +2 19
12 Darmstadt 14 5 3 6 +1 18
13 Paderborn 14 5 3 6 +1 18
14 Regensburg 14 4 5 5 -2 17
15 Sandhausen 15 4 2 9 -15 14
16 Braunschweig 14 3 3 8 -18 12
17 St Pauli 14 1 6 7 -10 9
18 Wurzburger Kickers 14 1 2 11 -18 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
1,80
U
3,77
B ✓
4,18
Over/under goals
O1,5 ✓
O2,5 ✓
1,72
U2,5
2,11
O3,5 ✓
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.