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2. Bundesliga
4–1
Full-time
Hannover
S T S T 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

Greuther Furth Hannover
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
1,0
2,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 58%
83%
33%
Average goals
2,7
2,7
Scored
1,3
2,0
Conceded
1,3
0,7
Goal diff per game
+0,0
+1,3
This season — 2. Bundesliga · 5/5 matches
Win Ø 40%
20%
60%
Points per game
1,2
1,8
Over 2.5 Ø 50%
40%
60%
Both score Ø 60%
80%
40%
Average goals
2,6
2,8
Scored
1,4
2,0
Conceded
1,2
0,8
Goal diff per game
+0,2
+1,2
🔒 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: 2–0

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

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 ✓
3,04
U
3,43
B
2,25
Over/under goals
O1,5 ✓
O2,5 ✓
1,74
U2,5
2,06
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.