| BradleyGrantham/pl-predictions-using-fifa |
121 |
|
0 |
0 |
over 3 years ago |
0 |
|
9 |
mpl-2.0 |
Python |
| Training a neural network to predict the outcome of a football match using fifa ratings |
| junhwanjang/whoscored |
15 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Football player rating analysis and position recommendation |
| jacob-l/playerratings |
13 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
C# |
| Elo based rating system for two players games: table football, tennis, go and etc. |
| walt-king/NFL-draft-research |
12 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| Side project, building NFL draft model using combine measurements, college statistics |
| FCrSTATS/ClubMatchR |
9 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
R |
| Helps to match football club names from various data sources |
| larsvancutsem/piratings |
7 |
|
0 |
0 |
almost 7 years ago |
1 |
May 27, 2019 |
0 |
|
R |
| mirror for the R package "piratings" https://cran.r-project.org/web/packages/piratings/index.html, calculate dynamic performance ratings for association football teams based on the paper of Constantinou and Fenton which can be found [here] (http://www.constantinou.info/downloads/papers/pi-ratings.pdf) |
