Elo-Win Example
[1]:
from ratingslib.datasets.filenames import dataset_path, FILENAME_NFL_2009_2010_FULLNAMES_GAMES_AND_PLAYOFFS
from ratingslib.ratings.elo import Elo
from ratingslib.utils.enums import ratings
filename = dataset_path(FILENAME_NFL_2009_2010_FULLNAMES_GAMES_AND_PLAYOFFS)
Elo(version=ratings.ELOWIN,K=32, ks=1000, HA=0, starting_point=0).rate_from_file(filename, sort=True)
[1]:
| Item | rating | ranking | |
|---|---|---|---|
| 21 | New Orleans Saints | 173.661265 | 1 |
| 13 | Indianapolis Colts | 170.330670 | 2 |
| 16 | Los Angeles Chargers | 127.581599 | 3 |
| 19 | Minnesota Vikings | 103.503766 | 4 |
| 8 | Dallas Cowboys | 89.128462 | 5 |
| 25 | Philadelphia Eagles | 69.533068 | 6 |
| 11 | Green Bay Packers | 67.829152 | 7 |
| 0 | Arizona Cardinals | 53.226971 | 8 |
| 23 | New York Jets | 50.143092 | 9 |
| 20 | New England Patriots | 39.632781 | 10 |
| 12 | Houston Texans | 33.902378 | 11 |
| 6 | Cincinnati Bengals | 33.011598 | 12 |
| 2 | Baltimore Ravens | 32.082639 | 13 |
| 1 | Atlanta Falcons | 28.117804 | 14 |
| 26 | Pittsburgh Steelers | 27.124593 | 15 |
| 30 | Tennessee Titans | 13.221557 | 16 |
| 4 | Carolina Panthers | 11.474475 | 17 |
| 27 | San Francisco 49ers | -1.284445 | 18 |
| 22 | New York Giants | -5.321700 | 19 |
| 9 | Denver Broncos | -11.126190 | 20 |
| 18 | Miami Dolphins | -26.717278 | 21 |
| 5 | Chicago Bears | -28.141552 | 22 |
| 14 | Jacksonville Jaguars | -36.214244 | 23 |
| 3 | Buffalo Bills | -53.349501 | 24 |
| 7 | Cleveland Browns | -74.663876 | 25 |
| 24 | Oakland Raiders | -83.318754 | 26 |
| 28 | Seattle Seahawks | -88.845184 | 27 |
| 15 | Kansas City Chiefs | -109.281348 | 28 |
| 31 | Washington Redskins | -110.212009 | 29 |
| 29 | Tampa Bay Buccaneers | -130.102279 | 30 |
| 10 | Detroit Lions | -170.808828 | 31 |
| 17 | Los Angeles Rams | -194.118681 | 32 |