numberFire uses the powers of quantitative analysis to be the world's most accurate predictor of fantasy football and football handicapping performance.
| Player | Efficiency | Statistics | Too High/Low? | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| nERD | nF EFF | MPG | PPG | RPG | APG | Up | Down | Vote | ||
 |
LeBron James (F, MIA) | 25.2 | 6.4 | 37.5 | 27.1 | 7.9 | 6.2 | 3 | 6 | Login |
|
Chris Paul (PG, LAC) | 21.2 | 5.5 | 36.3 | 19.8 | 3.6 | 9.1 | 9 | 3 | Login |
|
Kevin Durant (SF, OKC) | 17.1 | 4.2 | 38.6 | 28.0 | 8.0 | 3.5 | 14 | 2 | Login |
 |
Kevin Love (F/C, MIN) | 16.9 | 4.1 | 39.0 | 26.0 | 13.3 | 2.0 | 6 | 3 | Login |
 |
James Harden (SG, OKC) | 14.6 | 4.4 | 31.4 | 16.8 | 4.1 | 3.7 | 1 | 0 | Login |
 |
Tyson Chandler (C, NYK) | 14.4 | 4.1 | 33.2 | 11.3 | 9.9 | 0.9 | 1 | 6 | Login |
|
Ryan Anderson (F/C, ORL) | 13.9 | 4.1 | 32.2 | 16.1 | 7.7 | 0.9 | 1 | 3 | Login |
|
Dwyane Wade (G, MIA) | 13.9 | 4.0 | 33.2 | 22.1 | 4.8 | 4.6 | 7 | 0 | Login |
|
Derrick Rose (PG, CHI) | 12.9 | 3.5 | 35.3 | 21.8 | 3.4 | 7.9 | 12 | 1 | Login |
|
Joakim Noah (F/C, CHI) | 12.7 | 4.0 | 30.4 | 10.2 | 9.8 | 2.5 | 0 | 0 | Login |
 |
Manu Ginobili (G/F, SAN) | 12.0 | 4.9 | 23.3 | 12.9 | 3.4 | 4.4 | 4 | 7 | Login |
|
Andrew Bynum (C, LAL) | 10.6 | 2.9 | 35.2 | 18.7 | 11.8 | 1.4 | 1 | 1 | Login |
|
Blake Griffin (F/C, LAC) | 10.2 | 2.7 | 36.2 | 20.7 | 10.9 | 3.2 | 0 | 0 | Login |
|
Dwight Howard (C, ORL) | 9.6 | 2.4 | 38.3 | 20.6 | 14.5 | 1.9 | 4 | 8 | Login |
|
Al Horford (F/C, ATL) | 9.6 | 2.9 | 31.6 | 12.4 | 7.0 | 2.2 | 2 | 1 | Login |
|
Paul Millsap (PF, UTAH) | 9.1 | 2.6 | 32.8 | 16.6 | 8.8 | 2.3 | 0 | 1 | Login |
|
Carlos Boozer (F/C, CHI) | 9.1 | 2.9 | 29.5 | 15.0 | 8.5 | 1.9 | 0 | 0 | Login |
|
Al Jefferson (F/C, UTAH) | 8.9 | 2.5 | 34.0 | 19.2 | 9.6 | 2.2 | 0 | 0 | Login |
|
Marc Gasol (C, MEM) | 8.9 | 2.3 | 36.5 | 14.6 | 8.9 | 3.1 | 0 | 0 | Login |
|
LaMarcus Aldridge (F/C, POR) | 8.9 | 2.3 | 36.3 | 21.7 | 8.0 | 2.4 | 2 | 2 | Login |
|
Kevin Garnett (PF, BOS) | 8.9 | 2.7 | 31.1 | 15.8 | 8.2 | 2.9 | 3 | 1 | Login |
|
Kenneth Faried (PF, DEN) | 8.8 | 3.7 | 22.5 | 10.2 | 7.7 | 0.8 | 0 | 0 | Login |
 |
Ersan Ilyasova (F, MIL) | 8.8 | 3.0 | 27.6 | 13.0 | 8.8 | 1.2 | 0 | 0 | Login |
|
Marcin Gortat (C, PHO) | 8.5 | 2.5 | 32.0 | 15.4 | 10.0 | 0.9 | 1 | 0 | Login |
|
Dirk Nowitzki (PF, DAL) | 8.2 | 2.3 | 33.5 | 21.6 | 6.8 | 2.2 | 4 | 3 | Login |
What do you think?
Glossary
The Value of Efficiency Stats in Basketball
nERD (numberFire Efficiency Rating Derivative)
The player ranking measures the total contribution of a player throughout the course of a season, based on their efficiency. League average is 0. Comparable to win shares, this ranking gives an estimate of how many games above or below .500 a league-average team would win with that player as one of their starters. For example, LeBron James posted an 18.3 rating in the 2010-11 season. If he played on a team with four league-average players, you would expect that team to finish 18 games over .500 (50-32). By summing the nF NERD for all players on one team, we can see how many games above .500 that team is expected to win. The rating will represent a player's total contribution over an 82-game season, not just the games played so far this year.
nF Eff
The numberFire efficiency metric measures a player's raw efficiency. More specifically, it is an estimate for the point differential that a league-average team would have with that player as one of the five starters. It combines both offensive and defensive production on a per possession basis. The main factors in determining a players' efficiency are usage rate (how many possessions that player uses out of the total team possessions - players like Kobe Bryant will have high usage rates, while the Shane Battier's of the world will have low usage rates), offensive rating (this combines basic statistics to estimate a players' offensive contribution per 100 possessions), and defensive rating (an estimate for the number of points an individual player would allow per 100 possessions).