The 76ers frequently had established large leads by the fourth quarter, however, while the Pacers did not — so they actually led their opponents by a larger margin on average throughout the game. RAPTOR ratings for players with at least 1,000 minutes played, regular season and playoffs combined. The “box” component of RAPTOR does something similar, only using player-tracking and play-by-play data in addition to traditional statistics. The intuition behind this is as follows: Because 77 percent of rebounds are defensive rebounds, only defensive rebounds on which the offense has a serious shot at the ball (i.e., contested rebounds) have all that much value for a defensive player since his team would probably wind up with the ball anyway. As you can see, RAPTOR generally loves perimeter players and wings, such as Curry, Harden, Leonard and Chris Paul, although some frontcourt players like Jokic, Anthony Davis and Draymond Green are also rated highly by the system. We give slightly more credit to rebounds that occur (i) in bounds and (ii) not after blocked shots, since these are associated with a higher expected value for the remainder of the possession. These have a small amount of value also because they (i) reset the shot clock to 14 seconds and (ii) often allow the offense to inbound the ball from an advantageous position, such as along the baseline near the basket, depending on where the foul was committed (empirically, possessions that restart after a nonshooting foul have a fairly high expected value). While all players who rely heavily on assisted baskets are penalized by this statistic, it has a particularly large effect on players such as DeAndre Jordan who camp out at the basket and depend on assisted dunks. Recent All-NBA, MVP and All-Star appearances. ... What is incredibly surprising—not if you know how who really is the best point guard in the game—FiveThirtyEight’s Raptor … These projections basically involve a three-step process: Other than the adoption of RAPTOR rather than BPM and RPM as the basis for our projections, changes to our projection methodology this season are relatively subtle. Thus, players get a 0.04-point deduction for every foul they commit that counts toward the bonus/penalty. To account for this, we multiply the sum of a team’s player projections by 0.8 in the regular season and by 0.9 in the playoffs. Conversely, players who played in worse leagues and who come from poorer countries start out slower but show steeper improvement. The reason is that having superstar players makes a team considerably more likely to advance far in the postseason. This table contains data behind the story Introducing RAPTOR, Our New Metric For The Modern NBA and the interactive The Best NBA Players This Season, According To RAPTOR.. modern_RAPTOR_by_player.csv contains RAPTOR data for every player broken out by season since 2014, when NBA player-tracking data first became available.. modern_RAPTOR_by_team.csv contains RAPTOR data … (If we had better measures of defensive activity, in other words, the coefficients associated with fouls and free throws would probably be more steeply negative.) Luka Doncic is off to an incredible start to his second NBA season. This data is categorized by on offense, defense, or in total. The NBA also keeps track of deferred rebounds: when a player has a chance at the rebound but passes it up to a teammate. What’s interesting is it has player data all the way back to 1980 which means ... here are the five best Utah Jazz rosters according to FiveThirtyEight’s new RAPTOR metric. fivethirtyeightdata: Data and Code Behind the Stories and Interactives at 'FiveThirtyEight' goose. RAPM can be replicated quite effectively using three types of on-court ratings.20. The RAPTOR variables correspond to Points above average per 100 possessions added by player. Our score effects adjustment is a little different than some of the other ones we’ve seen. MLB Elo. stream all rows, GraphQL API for nba-raptor/modern_RAPTOR_by_player, Introducing RAPTOR, Our New Metric For The Modern NBA, The Best NBA Players This Season, According To RAPTOR, Points above average per 100 possessions added by player on offense, based only on box score estimate, Points above average per 100 possessions added by player on defense, based only on box score estimate, Points above average per 100 possessions added by player, based only on box score estimate, Points above average per 100 possessions added by player on offense, based only on plus-minus data, Points above average per 100 possessions added by player on defense, based only on plus-minus data, Points above average per 100 possessions added by player, based only on plus-minus data, Points above average per 100 possessions added by player on offense, using both box and on-off components, Points above average per 100 possessions added by player on defense, using both box and on-off components, Points above average per 100 possessions added by player on both offense and defense, using both box and on-off components, Wins Above Replacement between regular season and playoffs, Wins Above Replacement for regular season, Predictive points above average per 100 possessions added by player on offense, Predictive points above average per 100 possessions added by player on defense, Predictive points above average per 100 possessions added by player on both offense and defense, Player impact on team possessions per 48 minutes. 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