NBA impact data · 1950–51 to present

NBA Player Impact Rankings

Explore season-by-season player rankings, all-time career rankings, and team rankings across NBA history.

Season

2025–26 Impact Rate rankings

Box production refined by multi-season lineup context, on a 0–100 scale within this season.

Show Impact Rate without the MPG adjustment

395 players match Low samples hidden

187 low samples hidden · Bounded box prior plus lineup context, adjusted for MPG role. Click a row to inspect.


1	100.0	Nikola Jokić	DEN	C	30	65	65	34.8	2,265	32.3	14.9	0.316	14.2	9.2
2	99.6	Shai Gilgeous-Alexander	OKC	PG	27	68	68	33.2	2,259	30.8	15.2	0.323	11.7	7.8
3	98.6	Kawhi Leonard	LAC	SF	34	65	65	32.1	2,085	27.9	9.2	0.212	8.0	5.3
4	98.3	Giannis Antetokounmpo	MIL	PF	31	36	36	28.9	1,039	32.6	5.0	0.231	9.5	3.0
5	98.2	Victor Wembanyama	SAS	C	22	64	55	29.2	1,866	29.9	10.0	0.257	10.7	6.0
6	98.2	Luka Dončić	LAL	PG	26	64	64	35.8	2,289	27.9	9.5	0.199	9.3	6.6
7	97.8	Stephen Curry	GSW	PG	37	43	41	30.9	1,329	22.6	4.1	0.147	5.4	2.5
8	97.5	Jimmy Butler	GSW	SF	36	38	38	31.1	1,182	23.5	5.7	0.233	5.5	2.3
9	97.1	Donovan Mitchell	CLE	SG	29	70	70	33.5	2,342	22.9	8.2	0.169	5.1	4.2
10	96.8	Tyrese Maxey	PHI	PG	25	70	70	38.0	2,661	21.9	8.7	0.156	5.4	4.9
11	96.4	Cade Cunningham	DET	PG	24	64	64	33.9	2,172	21.6	7.9	0.174	6.3	4.6
12	96.0	Joel Embiid	PHI	C	31	38	38	31.6	1,201	24.7	4.1	0.163	4.9	2.1
13	95	Jayson Tatum	BOS	PF	27	16	16	32.6	522	20.3	1.6	0.148	4.8	0.9
14	95.0	Jamal Murray	DEN	PG	28	75	75	35.4	2,652	21.8	9.5	0.173	4.1	4.1
15	94.6	Lauri Markkanen	UTA	PF	28	42	42	34.4	1,443	21.1	3.5	0.118	2.6	1.6
16	94.5	Chet Holmgren	OKC	PF	23	69	69	28.9	1,997	21.6	9.1	0.219	4.2	3.1
17	94.2	Kevin Durant	HOU	SF	37	78	78	36.4	2,840	21.1	10.7	0.180	4.5	4.7
18	94.1	LaMelo Ball	CHO	PG	24	72	69	28.0	2,017	19.7	6.2	0.147	4.7	3.4
19	93.9	Derrick White	BOS	SG	31	77	77	34.1	2,625	16.0	7.0	0.129	3.2	3.5
20	93.2	Alperen Şengün	HOU	C	23	72	72	33.3	2,398	21.4	8.0	0.161	4.2	3.7
21	92.8	Michael Porter Jr.	BRK	SF	27	52	52	32.5	1,689	19.9	2.9	0.083	3.0	2.1
22	92.1	Scottie Barnes	TOR	PF	24	80	80	33.5	2,681	19.2	7.8	0.140	4.2	4.2
23	91.7	Karl-Anthony Towns	NYK	C	30	75	75	31.0	2,322	22.0	9.5	0.197	3.3	3.1
24	91.3	Collin Gillespie	PHO	PG	26	80	58	28.5	2,282	15.3	6.2	0.130	2.5	2.6
25	91.0	Anthony Edwards	MIN	SG	24	61	60	35.0	2,137	21.8	6.5	0.147	4.5	3.5
26	90.6	Devin Booker	PHO	SG	29	64	64	33.5	2,146	20.4	6.5	0.145	2.2	2.3
27	89.9	Jalen Johnson	ATL	SF	24	72	72	35.2	2,532	20.4	7.5	0.141	4.2	4.0
28	89.5	Franz Wagner	ORL	SF	24	34	32	30.0	1,019	19.2	2.8	0.134	2.5	1.2
29	88.6	Zion Williamson	NOP	PF	25	62	55	29.7	1,841	22.6	6.1	0.159	2.9	2.3
30	88.1	Deni Avdija	POR	SF	25	66	66	33.3	2,199	20.3	7.0	0.152	4.3	3.5
31	87.8	Kon Knueppel	CHO	SF	20	81	80	31.5	2,551	17.1	8.0	0.151	2.8	3.1
32	87.4	Bam Adebayo	MIA	C	28	73	73	32.4	2,365	18.7	6.4	0.129	2.0	2.4
33	87.2	Jalen Duren	DET	C	22	70	70	28.2	1,976	26.1	11.0	0.266	5.0	3.5
34	87.2	Jarrett Allen	CLE	C	27	56	56	27.1	1,519	22.1	6.4	0.202	2.6	1.8
35	87.1	Isaiah Hartenstein	OKC	C	27	47	46	24.2	1,137	19.8	5.3	0.223	4.2	1.8
36	86.9	Neemias Queta	BOS	C	26	76	75	25.3	1,926	20.3	9.0	0.224	2.8	2.4
37	86.7	Amen Thompson	HOU	PG	23	79	79	37.4	2,953	18.9	10.3	0.167	2.6	3.4
38	86.0	OG Anunoby	NYK	PF	28	67	67	33.2	2,224	15.8	6.3	0.135	2.0	2.3
39	85.6	Evan Mobley	CLE	PF	24	65	63	31.9	2,074	20.0	6.5	0.150	3.0	2.6
40	85.3	Jalen Brunson	NYK	PG	29	74	74	35.0	2,590	20.1	8.8	0.163	3.1	3.3
41	84.9	Paul George	PHI	PF	35	37	37	30.7	1,135	16.7	2.5	0.108	1.7	1.1
42	84.5	Josh Giddey	CHI	PG	23	54	51	32.1	1,731	18.0	3.2	0.090	2.7	2.0
43	83.7	Robert Williams	POR	C	28	59	1	17.1	1,008	22.1	4.5	0.213	4.5	1.7
44	83	Al Horford	GSW	C	39	45	13	21.5	969	14.7	2.1	0.105	1.6	0.9
45	83.1	James Harden	LAC / CLE	PG	36	70	70	34.8	2,438	20.7	7.7	0.151	3.9	3.6
46	83.1	Jrue Holiday	POR	PG	35	53	51	29.4	1,560	16.4	3.6	0.109	1.9	1.6
47	82.7	Dyson Daniels	ATL	SG	22	76	76	33.2	2,520	15.5	6.6	0.126	1.3	2.1
48	82.4	Pascal Siakam	IND	PF	31	62	62	33.2	2,057	18.6	2.6	0.062	0.7	1.4
49	81.7	Austin Reaves	LAL	SG	27	51	45	34.5	1,762	20.2	5.6	0.153	2.8	2.1
50	81.5	Sandro Mamukelashvili	TOR	C	26	80	13	21.9	1,751	18.1	6.2	0.169	2.8	2.1

Showing 1–50 of 395

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Rows

Methodology

What the score measures.

Box-score impact is the starting point. Multi-season lineup evidence makes a limited correction; workload then determines Season Value.

hussEyquation v1.0 · Frozen for prospective testing through 2026–27

Build the box prior

Published position- and role-aware BPM 2.0 coefficients estimate box-score impact before the final team-performance adjustment. Small samples are stabilized below 450 minutes.

Add lineup context

Possession-weighted RAPM from up to three seasons estimates how lineups performed while controlling for the other nine players on the court.

Bound the correction

The lineup signal can move the box prior by at most ±0.75 internal impact points. The result is mapped onto a 0–100 within-season scale.

Account for role

Impact Rate gives full credit at 30+ MPG, then gradually reduces only the score above 25. The maximum reduction is 20% at 12 MPG or less.

Measure season value

Season Value subtracts the 25th-percentile bounded impact of the 1,000+ minute reference group, then applies the difference to estimated possessions.

Estimate early defense

Rankings from 1952–53 through 1972–73 add a small, position-neutral roster-event Historical Defense Estimate. It is experimental: the model failed its forward accuracy and placebo gates.

Read the numbers correctly: Impact Rate compares players within one season. Season Value adds workload. The archive covers 76 seasons from 1950–51 through 2025–26. Early historical results—including the Historical Defense Estimate—are estimates, not recovered facts; exact box inputs begin in 1973–74, and the live lineup-context model begins in 2025–26. Gravity, shot difficulty, and playoff leverage are not yet modeled.