Football · Germany Bundesliga II · 11/09, 18:30

Prediction: Nurnberg vs Hannover 96

Team pages: Nurnberg · Hannover 96

Prediction summary
Expected goals
3.5Total
Nurnberg2.09
Hannover 961.41
1X2
52% 23% 25%
Nurnberg Draw Hannover 96
Markets
Under 3.5 goals 54% Both teams to score 59%
Most likely score
1-1 10%
Recent form · 10 last
Nurnberg 5-4-1 (W-D-L)
LDWDWDWWWD
Hannover 96 3-5-2 (W-D-L)
WDWDDDLLWD
Head-to-head
Nurnberg 1–2–3 Hannover 96 (6 last)
  • Hannover 963-3Nurnberg
  • Nurnberg2-1Hannover 96
  • Nurnberg1-2Hannover 96
  • Hannover 962-0Nurnberg
  • Hannover 963-0Nurnberg
  • Nurnberg2-2Hannover 96
Model analysis
1st-half goalsOver 1.5 · 73%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Nurnberg (rating 1617 vs 1569).
  • H2H favours Hannover 96: 3-2-1.
  • High corners: 10.7 combined avg.
  • Cards-heavy: 8.1 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

NurnbergHannover 96
Goals for / against (FT)2.2 / 1.21.7 / 1.5
Goals for / against (HT)1.4 / 0.60.9 / 0.7
Half-time result (W/D/L)50/40/10%30/60/10%
Corners (HT / FT)2 / 4.62.4 / 6.1
Cards (🟨 / 🟥)4.1 / 04 / 0.1

Head-to-head (H2H) · Nurnberg 123 Hannover 96

Swipe the table sideways →

DateHomeScoreAway
17/05/26
Germany Bundesliga II
Hannover 963-3
HT 2-1
Nurnberg
21/12/25
Germany Bundesliga II
Nurnberg2-1
HT 1-1
Hannover 96
01/03/25
Germany Bundesliga II
Nurnberg1-2
HT 1-1
Hannover 96
29/09/24
Germany Bundesliga II
Hannover 962-0
HT 0-0
Nurnberg
26/01/24
Germany Bundesliga II
Hannover 963-0
HT 2-0
Nurnberg
06/08/23
Germany Bundesliga II
Nurnberg2-2
HT 0-2
Hannover 96

Standings · Germany Bundesliga II

Swipe the table sideways →

#Team PWDL GFGAPts
1 Hertha Berlin 4400 12512
2 Nurnberg 4310 13510
3 Heidenheim 4301 11109
4 Wolfsburg 4220 1068
5 Kaiserslautern 4220 518
6 Bochum 4202 336
7 Magdeburg 4202 786
7 VfL Osnabruck 4202 786
9 Karlsruher SC 4121 685
10 Arminia Bielefeld 4112 784
11 Cottbus 4112 10124
12 Greuther Furth 4112 794
13 Hannover 96 4112 464
14 Eintracht Braunschweig 4103 10103
15 St Pauli 4031 673
16 Holstein Kiel 4031 683
17 Dynamo Dresden 4103 5103
18 Darmstadt 4013 271

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

Nurnberg

LDWDWDWWWD

Swipe the table sideways →

Date Opponent HT FT Cor.Cards Res.
05/09 Holstein Kiel
Germany Bundesliga II
1-1 2-2 87 D
29/08 Arminia Bielefeld
Germany Bundesliga II
3-0 4-1 32 W
15/08 Greuther Furth
Germany Bundesliga II
2-2 4-2 35 W
09/08 Dynamo Dresden
Germany Bundesliga II
2-0 3-0 52 W
17/05 Hannover 96
Germany Bundesliga II
1-2 3-3 78 D
09/05 Schalke
Germany Bundesliga II
2-0 3-0 54 W
03/05 Greuther Furth
Germany Bundesliga II
1-1 1-1 54 D
26/04 Magdeburg
Germany Bundesliga II
1-0 1-0 34 W
18/04 Arminia Bielefeld
Germany Bundesliga II
1-0 1-1 23 D
11/04 Dynamo Dresden
Germany Bundesliga II
0-0 0-2 52 L

Hannover 96

WDWDDDLLWD

Swipe the table sideways →

Date Opponent HT FT Cor.Cards Res.
04/09 Karlsruher SC
Germany Bundesliga II
2-1 2-2 16 D
30/08 Darmstadt
Germany Bundesliga II
0-0 1-0 114 W
16/08 Wolfsburg
Germany Bundesliga II
0-0 0-1 83 L
09/08 Cottbus
Germany Bundesliga II
1-1 1-3 62 L
17/05 Nurnberg
Germany Bundesliga II
2-1 3-3 88 D
09/05 Bochum
Germany Bundesliga II
0-0 1-1 45 D
03/05 SC Preussen Munster
Germany Bundesliga II
2-2 3-3 106 D
25/04 Karlsruher SC
Germany Bundesliga II
1-1 3-1 21 W
18/04 Paderborn
Germany Bundesliga II
0-1 1-1 54 D
11/04 Darmstadt
Germany Bundesliga II
1-0 2-0 62 W

Frequently asked questions

Who is the favourite in Nurnberg vs Hannover 96?

According to our model, the most likely result is a Nurnberg win (52%). Probabilities: Nurnberg 52%, draw 23%, Hannover 96 25%.

How many goals are expected in Nurnberg vs Hannover 96?

The model expects 3.5 goals (Nurnberg 2.09 · Hannover 96 1.41), with a 55% chance of over 3 goals.

Will both teams score in Nurnberg vs Hannover 96?

The model gives a 59% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.