Beyond the scoring average
More than the points.
Under 16 PPG, with the largest full-impact gaps above the scoring baseline.
NBA PLAYER RANKINGS
LEADERBOARD
RTG Impact
Impact — Full / 48 estimates player strength per 48 minutes above the minutes-weighted league average, using box scores, play-by-play, tracking and lineup context.
Box / G is a separate provisional game contribution. A 90% conditional sampling interval describes uncertainty in the full estimate; it is not a guarantee about future play.
NBA Tracking
Gravity — Defensive attention drawn
Creation — Win-probability shot creation
FG%−xFG — FG% minus expected (shot-making)
Leverage — Total win-probability impact
Traditional
GP Games · PPG Points · RPG Rebounds · APG Assists
SPG Steals · BPG Blocks · TO Turnovers · MPG Minutes
Efficiency
FG% / 3P% / FT% / TS% Shooting splits
USG% Usage · NetRtg / OffRtg / DefRtg Ratings
View
About these rankingsData & methodology
Player Insights / Validated season estimates
WHO THE DATA SAYS MATTERS
2026-27 · Regular season · 284 selected players · minimum 3 games and 15 MPG · games through 2026-11-09
Calculated from the leaderboard’s published records. Latest record update: .
Full impact · estimated points per 48 minutes. Intervals describe sampling variation conditional on the recorded features.
The other side of the baseline
Scoring tells less of the story.
The largest negative gaps from the full-impact scoring baseline. This does not measure public reputation.
De'Andre HunterSAC · 9 games · 13.1 PPG-6.8vs. scoring baseline-6.7full impact / 48-7.8 to -5.5Svi MykhailiukUTA · 10 games · 3.3 PPG-6.6vs. scoring baseline-9.3full impact / 48-10.6 to -8.0Dillon BrooksPHX · 9 games · 15.7 PPG-6.6vs. scoring baseline-5.8full impact / 48-7.1 to -4.8Julius RandleBKN · 10 games · 20.0 PPG-6.5vs. scoring baseline-4.6full impact / 48-5.9 to -3.0Darius Acuff Jr.SAC · 10 games · 25.9 PPG-6.4vs. scoring baseline-2.8full impact / 48-4.3 to -1.5Brandon MillerCHA · 10 games · 20.6 PPG-6.0vs. scoring baseline-3.8full impact / 48-5.7 to -2.1Jamal CainORL · 9 games · 7.2 PPG-5.9vs. scoring baseline-7.5full impact / 48-8.4 to -6.6Cameron BoozerMEM · 10 games · 16.2 PPG-5.4vs. scoring baseline-4.4full impact / 48-6.2 to -3.0Rui HachimuraLAC · 7 games · 14.6 PPG-5.3vs. scoring baseline-4.8full impact / 48-6.5 to -4.0Franz WagnerORL · 9 games · 20.8 PPG-5.2vs. scoring baseline-3.0full impact / 48-4.3 to -1.8Andrew WigginsMIA · 10 games · 8.3 PPG-5.0vs. scoring baseline-6.3full impact / 48-9.0 to -4.4Tre JohnsonWAS · 10 games · 8.8 PPG-4.9vs. scoring baseline-6.1full impact / 48-7.2 to -4.9Jeremiah FearsNOP · 11 games · 15.4 PPG-4.9vs. scoring baseline-4.2full impact / 48-5.7 to -2.3Max ChristieDAL · 10 games · 5.5 PPG-4.8vs. scoring baseline-6.8full impact / 48-8.1 to -5.6Kelly Oubre Jr.IND · 9 games · 9.1 PPG-4.6vs. scoring baseline-5.7full impact / 48-7.3 to -4.1Estimate and uncertainty
Clearest positive estimates.
Players whose 90% conditional sampling interval stays above zero, ordered by its lower end. This is not game-to-game consistency.
Victor WembanyamaSAS · 11 games · 30.1 PPG+17.4interval low / 48+19.9full impact / 48+17.4 to +22.0Luka DončićLAL · 10 games · 39.3 PPG+12.7interval low / 48+14.3full impact / 48+12.7 to +16.1Stephen CurryGSW · 9 games · 30.6 PPG+8.2interval low / 48+9.7full impact / 48+8.2 to +11.4Jamal MurrayDEN · 9 games · 25.8 PPG+6.7interval low / 48+7.8full impact / 48+6.7 to +9.3Shai Gilgeous-AlexanderOKC · 10 games · 29.9 PPG+5.9interval low / 48+7.0full impact / 48+5.9 to +7.9Anthony DavisWAS · 9 games · 25.7 PPG+5.2interval low / 48+6.5full impact / 48+5.2 to +8.0Alperen SengunHOU · 9 games · 21.3 PPG+4.8interval low / 48+6.8full impact / 48+4.8 to +8.9Kyrie IrvingDAL · 9 games · 22.9 PPG+4.8interval low / 48+5.8full impact / 48+4.8 to +6.8Wendell Carter Jr.ORL · 9 games · 14.8 PPG+4.7interval low / 48+6.7full impact / 48+4.7 to +8.6Karl-Anthony TownsNYK · 9 games · 20.9 PPG+4.6interval low / 48+5.7full impact / 48+4.6 to +6.8Walker KesslerLAL · 12 games · 14.9 PPG+4.5interval low / 48+6.7full impact / 48+4.5 to +9.3Duncan RobinsonDET · 10 games · 18.6 PPG+4.0interval low / 48+5.0full impact / 48+4.0 to +6.1The fitted rate
Impact per minute.
Estimated strength in the recorded role. Short samples borrow more from the league and previous seasons; this is not a projection to starter minutes.
Victor WembanyamaSAS · 11 games · 30.1 PPG+0.415per minute+19.9full impact / 48+17.4 to +22.0Luka DončićLAL · 10 games · 39.3 PPG+0.297per minute+14.3full impact / 48+12.7 to +16.1Stephen CurryGSW · 9 games · 30.6 PPG+0.201per minute+9.7full impact / 48+8.2 to +11.4Jamal MurrayDEN · 9 games · 25.8 PPG+0.163per minute+7.8full impact / 48+6.7 to +9.3Shai Gilgeous-AlexanderOKC · 10 games · 29.9 PPG+0.147per minute+7.0full impact / 48+5.9 to +7.9Alperen SengunHOU · 9 games · 21.3 PPG+0.142per minute+6.8full impact / 48+4.8 to +8.9Walker KesslerLAL · 12 games · 14.9 PPG+0.140per minute+6.7full impact / 48+4.5 to +9.3Wendell Carter Jr.ORL · 9 games · 14.8 PPG+0.140per minute+6.7full impact / 48+4.7 to +8.6Anthony DavisWAS · 9 games · 25.7 PPG+0.135per minute+6.5full impact / 48+5.2 to +8.0Kyrie IrvingDAL · 9 games · 22.9 PPG+0.122per minute+5.8full impact / 48+4.8 to +6.8Karl-Anthony TownsNYK · 9 games · 20.9 PPG+0.119per minute+5.7full impact / 48+4.6 to +6.8Mo BambaUTA · 6 games · 7.7 PPG+0.111per minute+5.3full impact / 48+4.0 to +6.6How these lists are calculated
Full-impact views use the dated regular-season estimate and its conditional sampling interval. All four lists use the selected season, competition, games and minutes filters. Position, team, contract and name filters select who appears. The scoring baseline uses the broader pool before those display filters: an equal-player linear fit of full impact (or box contribution in box-only views) against points per game. Positive and negative gaps are residuals from that fit, not an estimate of how the public rates a player.
Scoring baseline: 284 players with validated season estimates. One-game samples, partial impact coverage and incompatible model versions are excluded. No position adjustment or ESPN estimate is added.
For box-only views, consistency requires at least five games and uses sample standard deviation to break ties in positive-game share. “Low” is the lowest recorded game, not a future floor. Per-minute rates divide sums, rather than averaging individual game rates. Small samples remain descriptive.
Read the methodology ↗