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2. Bundesliga
Osnabruck
T U S U U
2–1
Full-time
Hannover
T S T S S

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

Osnabruck Hannover
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
1,2
2,0
Over 2.5 Ø 50%
33%
67%
Both score Ø 59%
67%
50%
Average goals
2,5
3,2
Scored
1,3
2,2
Conceded
1,2
1,0
Goal diff per game
+0,2
+1,2
This season — 2. Bundesliga · 1/1 matches
Win Ø 50%
0%
100%
Points per game
1,0
3,0
Over 2.5 Ø 0%
0%
0%
Both score Ø 50%
100%
0%
Average goals
2,0
2,0
Scored
1,0
2,0
Conceded
1,0
0,0
Goal diff per game
+0,0
+2,0
🔒 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

13 Shots 10
5 Shots on target 3
5 Corners 4
13 Free kicks against 20
2 Yellow cards 5
0 Red cards 0
The table before the match Osnabruck 10. · Hannover 3.
# Team K V U T +/− P
1 Erzgebirge Aue 1 1 0 0 +3 3
2 Heidenheim 1 1 0 0 +2 3
3 Hannover 1 1 0 0 +2 3
4 Sandhausen 1 1 0 0 +1 3
5 Hamburg 1 1 0 0 +1 3
6 Holstein Kiel 1 1 0 0 +1 3
7 Bochum 1 0 1 0 +0 1
8 St Pauli 1 0 1 0 +0 1
9 Greuther Furth 1 0 1 0 +0 1
10 Osnabruck 1 0 1 0 +0 1
11 Regensburg 1 0 1 0 +0 1
12 Nurnberg 1 0 1 0 +0 1
13 Darmstadt 1 0 0 1 -1 0
14 Fortuna Dusseldorf 1 0 0 1 -1 0
15 Paderborn 1 0 0 1 -1 0
16 Braunschweig 1 0 0 1 -2 0
17 Karlsruhe 1 0 0 1 -2 0
18 Wurzburger Kickers 1 0 0 1 -3 0

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 ✓
3,41
U
3,51
B
2,07
Over/under goals
O1,5 ✓
O2,5 ✓
1,76
U2,5
2,05
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.