Simulation · our own model
Who will win 2. Bundesliga?
We simulate the remaining 207 matches 10.000 times with our model, starting from the real table.
Updated: Wed 11 Nov · See table and fixtures
-
1
Hertha BSC
31
75
91%
98% 0%
-
2
1. FC Nürnberg
24
62
6%
48% 0%
-
4
1. FC Magdeburg
20
58
2%
26% <1%
-
3
1. FC Kaiserslautern
21
57
1%
17% <1%
-
5
VfL Wolfsburg
19
52
<1%
5% <1%
-
6
Arminia Bielefeld
17
51
<1%
4% <1%
-
15
Dynamo Dresden
11
46
0%
1% 2%
-
8
VfL Bochum
14
45
<1%
<1% 3%
-
11
Hannover 96
12
43
<1%
<1% 6%
-
7
1. FC Heidenheim
16
42
0%
<1% 8%
-
13
Eintracht Braunschweig
11
41
0%
<1% 11%
-
12
Energie Cottbus
11
41
0%
<1% 13%
-
10
SpVgg Greuther Fürth
12
40
0%
<1% 14%
-
14
VfL Osnabrück
11
39
0%
<1% 18%
-
18
Holstein Kiel
8
37
0%
<1% 25%
-
16
Karlsruher SC
11
37
0%
0% 31%
-
17
SV Darmstadt 98
9
37
0%
0% 33%
-
9
FC St. Pauli
12
36
0%
0% 35%
“Final pts” is the average points total at the end of the season across all simulations. ▲▼: change in percentage points over 7 days.
Simulator
What if…? Pick results and see how the season changes
Set the result of upcoming matches and we replay the rest of the league 4.000 times with our model. Matches you leave alone follow the model’s probabilities.
Fri 20 Nov
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SV Darmstadt 98
1. FC Heidenheim
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Arminia Bielefeld
1. FC Magdeburg
Sat 21 Nov
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VfL Wolfsburg
Holstein Kiel
-
Hannover 96
SpVgg Greuther Fürth
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1. FC Nürnberg
Eintracht Braunschweig
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FC St. Pauli
VfL Bochum
Sun 22 Nov
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1. FC Kaiserslautern
Dynamo Dresden
-
Karlsruher SC
VfL Osnabrück
-
Energie Cottbus
Hertha BSC
Fri 27 Nov
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VfL Bochum
SV Darmstadt 98
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1. FC Heidenheim
1. FC Nürnberg
Sat 28 Nov
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Hertha BSC
Karlsruher SC
-
Dynamo Dresden
FC St. Pauli
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Holstein Kiel
1. FC Kaiserslautern
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VfL Osnabrück
Hannover 96
Sun 29 Nov
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SpVgg Greuther Fürth
Arminia Bielefeld
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1. FC Magdeburg
Energie Cottbus
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Eintracht Braunschweig
VfL Wolfsburg
Fri 4 Dec
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Arminia Bielefeld
Dynamo Dresden
-
Energie Cottbus
VfL Osnabrück
Sat 5 Dec
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1. FC Nürnberg
VfL Bochum
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1. FC Kaiserslautern
SpVgg Greuther Fürth
-
Karlsruher SC
Holstein Kiel
-
Hannover 96
Hertha BSC
Sun 6 Dec
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VfL Wolfsburg
1. FC Magdeburg
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SV Darmstadt 98
Eintracht Braunschweig
-
FC St. Pauli
1. FC Heidenheim
Fri 11 Dec
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1. FC Magdeburg
1. FC Nürnberg
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Arminia Bielefeld
1. FC Kaiserslautern
Sat 12 Dec
-
Hertha BSC
SV Darmstadt 98
Under 1, X and 2 you can see our model’s probability. Tap again to clear a result.
Pick one or more results and tap Recalculate.
Where will each team finish?
Share of simulations in which each team ends up in each position. The stronger the colour, the more likely.
How the title chances have changed
Hertha BSC1. FC Nürnberg1. FC Magdeburg1. FC Kaiserslautern
Frequently asked questions
Who are the favourites to win 2. Bundesliga?
Hertha BSC finish as champions in 91% of our 10.000 simulations of the rest of the season, ahead of 1. FC Nürnberg (6%).
Which teams are most at risk of relegation from 2. Bundesliga?
According to our simulations: FC St. Pauli (35 %), SV Darmstadt 98 (33 %), Karlsruher SC (31 %), Holstein Kiel (25 %).
How it works
- We start from the real table and play the remaining matches one by one, using our model's probabilities (Poisson and Elo).
- We repeat the season 10,000 times and count how often each team finishes in each position. It updates twice a day.
- Ties are broken by goal difference as an approximation; some leagues use head-to-head, so it may differ when teams are level on points.