Player Name | Rank |
---|---|
Giannis Antetokounmpo |
1.393 |
Rudy Gobert |
1.331 |
James Harden |
1.172 |
Nikola Jokic |
0.881 |
Anthony Davis |
0.828 |
Karl-Anthony Towns |
0.629 |
Kevin Durant |
0.339 |
None yet.
Player Name | Rank |
---|---|
Giannis Antetokounmpo |
0.899(1) |
LeBron James |
0.871(2) |
James Harden |
0.835(3) |
Anthony Davis |
0.830(4) |
Karl Anthony Towns |
0.73(5) |
Kawhi Leonard |
0.55(6) |
Nikola Jokic |
0.33(7) |
The methodology used for 2019 was different than the method used for 2018. The 2018 MVP was predicted using a progressive method that updated every week. The 2019 MVP was predicted entirely before the season began (I'll be using this method moving forward).
James Harden |
Anthony Davis |
LeBron James |
Karl Anthony Towns (?) |
---|---|---|---|
1.559(1) | 1.036(2) | 0.799(3) | 0.608(4) |
data/mvpForecast.csv contains forecasted advanced stats for ESPN's top 20 NBA players of the 2018-2019 season.
forecast.py is responsible for generating the aforementioned future stats.
predict.py is responsible for ranking the MVP candidates based on the model.
mvp_statline.py is an independent script that predicts the per-game and advanced stats of this season's MVP.
ppg |
rpg |
apg |
per |
vorp |
+/- |
ts% |
---|---|---|---|---|---|---|
28.8 | 7.1 | 7.3 | 29.0 | 8.67 | 10.2 | 0.61 |
Final frontrunner: James Harden
ppg |
per |
vorp |
+/- |
ts% |
---|---|---|---|---|
30.4 | 29.8 | 8.3 | 10.9 | 0.619 |
James Harden |
LeBron James |
Anthony Davis |
Russell Westbrook |
---|---|---|---|
29%(1) | 21%(2) | 14%(3) | 7%(4) |
ppg |
per |
vorp |
+/- |
ts% |
---|---|---|---|---|
27.63 | 29.01 | 8.79 | 10.24 | 0.606 |