Elo-Win Example
[1]:
from ratingslib.datasets.filenames import dataset_path, FILENAME_EPL_2018_2019_20_GAMES
from ratingslib.ratings.elo import Elo
from ratingslib.utils.enums import ratings
filename = dataset_path(FILENAME_EPL_2018_2019_20_GAMES)
Elo(version=ratings.ELOWIN, starting_point=0).rate_from_file(filename)
[1]:
| Item | rating | ranking | |
|---|---|---|---|
| 0 | Arsenal | -37.707535 | 12 |
| 1 | Bournemouth | 37.707535 | 3 |
| 2 | Brighton | 2.292465 | 5 |
| 3 | Burnley | -18.849977 | 9 |
| 4 | Cardiff | -20.000000 | 10 |
| 5 | Chelsea | 37.707535 | 3 |
| 6 | Crystal Palace | 0.000000 | 7 |
| 7 | Everton | 20.000000 | 4 |
| 8 | Fulham | -37.707535 | 12 |
| 9 | Huddersfield | -37.707535 | 12 |
| 10 | Leicester | 1.150023 | 6 |
| 11 | Liverpool | 40.000000 | 1 |
| 12 | Man City | 37.707535 | 3 |
| 13 | Man United | -2.292465 | 8 |
| 14 | Newcastle | -20.000000 | 10 |
| 15 | Southampton | -20.000000 | 10 |
| 16 | Tottenham | 37.707535 | 3 |
| 17 | Watford | 38.849977 | 2 |
| 18 | West Ham | -37.707535 | 12 |
| 19 | Wolves | -21.150023 | 11 |