Basketball, one number each.

NBA board

Trade values for 12-team dynasty nine-category leagues on Yahoo's default lineup, punting 3PM, on the same 0–9,999 scale as football. A beta: the points board's model on each player's categories.

2026-27 season · 4 games in

PG SG G SF PF F C×2 UTIL×2

Format

Punt

Punting 3PM: values count the other eight categories, so players who hurt you in 3PM rise. Trades on this board judge the same way.

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Categories:

Showing 50 of 50 players · sorted by value

	Player	Pos	Team
1	Victor WembanyamaC · SAS · 22 · +9.0 z	C	SAS	22	+9.0	+8.4	9,999
2	Shai Gilgeous-AlexanderPG · OKC · 28 · +6.9 z	PG	OKC	28	+6.9	+7.1	8,928
3	Nikola JokićC · DEN · 31 · +8.4 z	C	DEN	31	+8.4	+9.4	7,039
4	Cooper FlaggDTDPG/SF/SG · DAL · 19 · +1.9 z	PG/SF/SG	DAL	19	+1.9	+1.1	6,003
5	Tyrese MaxeyPG · PHI · 25 · +3.7 z	PG	PHI	25	+3.7	+4.3	4,794
6	Tyrese HaliburtonPG/SG · IND · 26 · +2.8 z	PG/SG	IND	26	+2.8	—	4,670
7	Amen ThompsonPG/SF/SG · HOU · 23 · +2.7 z	PG/SF/SG	HOU	23	+2.7	+2.4	4,556
8	Cameron BoozerRookieC/PF · MEM · 19 · +0.4 z	C/PF	MEM	19	+0.4	—	4,540
9	Dyson DanielsSF/SG · ATL · 23 · +2.7 z	SF/SG	ATL	23	+2.7	+1.8	4,539
10	Jalen DurenOutC · DET · 22 · +2.6 z	C	DET	22	+2.6	+2.8	4,536
11	Scottie BarnesPF/SF · TOR · 25 · +3.0 z	PF/SF	TOR	25	+3.0	+3.7	4,525
12	Chet HolmgrenC/PF · OKC · 24 · +2.6 z	C/PF	OKC	24	+2.6	+2.8	4,238
13	Cade CunninghamPG · DET · 25 · +2.3 z	PG	DET	25	+2.3	+2.0	3,935
14	Luka DončićPG · LAL · 27 · +2.9 z	PG	LAL	27	+2.9	+2.8	3,888
15	Jalen JohnsonPF/SF · ATL · 24 · +2.8 z	PF/SF	ATL	24	+2.8	+2.3	3,848
16	Evan MobleyC/PF · CLE · 25 · +2.1 z	C/PF	CLE	25	+2.1	+1.1	3,809
17	Walker KesslerC · LAL · 25 · +2.4 z	C	LAL	25	+2.4	+3.9	3,635
18	Donovan ClinganC · POR · 22 · +0.9 z	C	POR	22	+0.9	+1.7	3,459
19	Alperen ŞengünC/PF · HOU · 24 · +1.7 z	C/PF	HOU	24	+1.7	+1.3	3,442
20	Jaden McDanielsPF/SF · MIN · 26 · −0.2 z	PF/SF	MIN	26	−0.2	−0.4	3,333
21	AJ DybantsaRookieOutPF/SF · WAS · 19 · −0.7 z	PF/SF	WAS	19	−0.7	—	3,138
22	Jarrett AllenC · CLE · 28 · +1.3 z	C	CLE	28	+1.3	+1.4	3,108
23	Anthony EdwardsPG/SG · MIN · 25 · +1.3 z	PG/SG	MIN	25	+1.3	+0.8	2,995
24	Karl-Anthony TownsC/PF · NYK · 30 · +2.1 z	C/PF	NYK	30	+2.1	+1.9	2,951
25	Cason WallaceDTDPG/SF/SG · OKC · 22 · −1.0 z	PG/SF/SG	OKC	22	−1.0	−1.3	2,737
26	Derik QueenC/PF · NOP · 21 · −0.8 z	C/PF	NOP	21	−0.8	−1.2	2,604
27	Ausar ThompsonOutSF/SG · DET · 23 · +0.2 z	SF/SG	DET	23	+0.2	+0.4	2,541
28	Darryn PetersonRookiePG/SG · UTA · 19 · −0.8 z	PG/SG	UTA	19	−0.8	—	2,529
29	Jalen WilliamsDTDPF/SF/SG · OKC · 25 · +0.9 z	PF/SF/SG	OKC	25	+0.9	−0.4	2,521
30	VJ EdgecombeOutPG/SG · PHI · 21 · −0.4 z	PG/SG	PHI	21	−0.4	−0.7	2,497
31	Bam AdebayoC/PF · MIA · 29 · +0.7 z	C/PF	MIA	29	+0.7	+0.8	2,420
32	Kawhi LeonardOutSF/SG · TOR · 35 · +2.2 z	SF/SG	TOR	35	+2.2	+5.0	2,411
33	Austin ReavesPG/SG · LAL · 28 · +0.3 z	PG/SG	LAL	28	+0.3	+0.5	2,407
34	Zach EdeyOutC · MEM · 24 · −0.2 z	C	MEM	24	−0.2	+2.7	2,389
35	Jayson TatumPF/SF · BOS · 28 · +1.3 z	PF/SF	BOS	28	+1.3	+0.2	2,358
36	Donovan MitchellPG/SG · CLE · 30 · +0.9 z	PG/SG	CLE	30	+0.9	+1.7	2,345
37	Kel'el WareC/PF · MIL · 22 · +0.2 z	C/PF	MIL	22	+0.2	+0.3	2,337
38	Giannis AntetokounmpoPF · MIA · 31 · +1.8 z	PF	MIA	31	+1.8	+1.2	2,325
39	Mark WilliamsOutC · PHX · 24 · +1.0 z	C	PHX	24	+1.0	+0.9	2,306
40	Trey Murphy IIISF/SG · NOP · 26 · +0.7 z	SF/SG	NOP	26	+0.7	+1.3	2,240
41	Jaren Jackson Jr.C/PF · UTA · 27 · +0.3 z	C/PF	UTA	27	+0.3	0.0	2,218
42	Onyeka OkongwuC · ATL · 25 · +0.5 z	C	ATL	25	+0.5	+0.4	2,165
43	Desmond BanePG/SG · ORL · 28 · −0.2 z	PG/SG	ORL	28	−0.2	0.0	2,085
44	Neemias QuetaC · BOS · 27 · −0.8 z	C	BOS	27	−0.8	+1.4	2,034
45	Domantas SabonisC/PF · SAC · 30 · +1.6 z	C/PF	SAC	30	+1.6	−0.1	1,985
46	Collin Murray-BoylesC/PF · TOR · 21 · −1.7 z	C/PF	TOR	21	−1.7	−1.8	1,977
47	Dereck Lively IIOutC · DAL · 22 · −0.8 z	C	DAL	22	−0.8	−2.0	1,928
48	Jamal MurrayPG · DEN · 29 · +0.8 z	PG	DEN	29	+0.8	+1.4	1,922
49	Alex SarrC/PF · WAS · 21 · −0.4 z	C/PF	WAS	21	−0.4	+0.8	1,910
50	Ivica ZubacDTDC · IND · 29 · +0.9 z	C	IND	29	+0.9	0.0	1,909

That's the top 50 of 238.

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How it works

Each player's nine categories a game this season, each in standard deviations (z) across the players 12 teams start: FG% and FT% count makes above the league's rate on his attempts, turnovers count against. From this season's games and the last two (recent ones count more, each moved to his age now), against what a team could pick up for free.

Times the games he's likely to play: the last two seasons' share, so a player who misses a third of the season counts that way.

Dynasty adds the next five seasons on an NBA age curve: growth into the mid-twenties, a plateau, a decline that steepens after 31.

Then checked against 3,326 real Sleeper NBA dynasty trades (points leagues; their pick prices and market layer carry over here): picks are priced the way those trades priced them, and a player the market keeps paying more (or less) for moves up to about a third.

Categories: PTS REB AST STL BLK FG% FT% TO.

Stats from Sleeper’s basketball box scores as of Oct 26. Where the numbers come from.

Stats: Sleeper's NBA season totals, through 2026-10-26. Early in a season most of each number comes from last season. Your own Sleeper NBA points league, with its scoring and lineup: League in the header.