Basketball, one number each.

NBA board

Trade values for 12-team dynasty nine-category leagues on Yahoo's default lineup, punting FG%, 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 FG%: values count the other eight categories, so players who hurt you in FG% 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 · +9.8 z	C	SAS	22	+9.8	+8.1	9,999
2	Shai Gilgeous-AlexanderPG · OKC · 28 · +6.5 z	PG	OKC	28	+6.5	+5.7	7,991
3	Tyrese MaxeyPG · PHI · 25 · +6.7 z	PG	PHI	25	+6.7	+7.4	6,830
4	Cameron BoozerRookieC/PF · MEM · 19 · +1.5 z	C/PF	MEM	19	+1.5	—	6,347
5	Cooper FlaggDTDPG/SF/SG · DAL · 19 · +1.8 z	PG/SF/SG	DAL	19	+1.8	+0.8	5,989
6	Tyrese HaliburtonPG/SG · IND · 26 · +4.2 z	PG/SG	IND	26	+4.2	—	5,789
7	Luka DončićPG · LAL · 27 · +5.6 z	PG	LAL	27	+5.6	+5.7	5,773
8	Nikola JokićC · DEN · 31 · +7.2 z	C	DEN	31	+7.2	+7.6	5,670
9	Anthony EdwardsPG/SG · MIN · 25 · +4.0 z	PG/SG	MIN	25	+4.0	+2.6	5,207
10	Cade CunninghamPG · DET · 25 · +3.5 z	PG	DET	25	+3.5	+3.0	4,825
11	LaMelo BallPG · MIN · 25 · +2.9 z	PG	MIN	25	+2.9	+2.9	4,257
12	Jayson TatumPF/SF · BOS · 28 · +3.9 z	PF/SF	BOS	28	+3.9	+3.9	4,174
13	Donovan MitchellPG/SG · CLE · 30 · +3.0 z	PG/SG	CLE	30	+3.0	+4.0	3,963
14	Scottie BarnesPF/SF · TOR · 25 · +2.4 z	PF/SF	TOR	25	+2.4	+2.3	3,960
15	VJ EdgecombeOutPG/SG · PHI · 21 · +0.8 z	PG/SG	PHI	21	+0.8	+0.7	3,930
16	Trey Murphy IIISF/SG · NOP · 26 · +2.9 z	SF/SG	NOP	26	+2.9	+3.9	3,831
17	Kon KnueppelOutSF/SG · CHA · 21 · +0.1 z	SF/SG	CHA	21	+0.1	−0.1	3,778
18	Reed SheppardPG/SG · HOU · 22 · −1.1 z	PG/SG	HOU	22	−1.1	+0.3	3,771
19	Jalen JohnsonPF/SF · ATL · 24 · +2.7 z	PF/SF	ATL	24	+2.7	+2.1	3,698
20	Brandon MillerPF/SF/SG · CHA · 23 · +1.2 z	PF/SF/SG	CHA	23	+1.2	+1.3	3,618
21	AJ DybantsaRookieOutPF/SF · WAS · 19 · −0.8 z	PF/SF	WAS	19	−0.8	—	3,511
22	Austin ReavesPG/SG · LAL · 28 · +1.3 z	PG/SG	LAL	28	+1.3	+1.4	3,454
23	Chet HolmgrenC/PF · OKC · 24 · +1.3 z	C/PF	OKC	24	+1.3	+0.9	3,173
24	Cason WallaceDTDPG/SF/SG · OKC · 22 · −1.2 z	PG/SF/SG	OKC	22	−1.2	−1.2	3,083
25	Jamal MurrayPG · DEN · 29 · +2.6 z	PG	DEN	29	+2.6	+3.8	3,078
26	Stephen CurryPG · GSW · 38 · +1.8 z	PG	GSW	38	+1.8	+4.5	3,059
27	Dyson DanielsSF/SG · ATL · 23 · +0.9 z	SF/SG	ATL	23	+0.9	−0.6	3,043
28	Desmond BanePG/SG · ORL · 28 · +0.6 z	PG/SG	ORL	28	+0.6	+0.7	3,024
29	Lauri MarkkanenPF/SF · UTA · 29 · +1.6 z	PF/SF	UTA	29	+1.6	+4.1	2,973
30	Jaden McDanielsPF/SF · MIN · 26 · −0.9 z	PF/SF	MIN	26	−0.9	−1.3	2,915
31	Darryn PetersonRookiePG/SG · UTA · 19 · −0.9 z	PG/SG	UTA	19	−0.9	—	2,865
32	Kawhi LeonardOutSF/SG · TOR · 35 · +2.9 z	SF/SG	TOR	35	+2.9	+6.2	2,771
33	Derrick WhitePG/SG · BOS · 32 · +1.8 z	PG/SG	BOS	32	+1.8	+3.3	2,759
34	Nickeil Alexander-WalkerPG/SG · ATL · 28 · −0.3 z	PG/SG	ATL	28	−0.3	+2.4	2,708
35	Devin BookerPG/SG · PHX · 29 · +0.8 z	PG/SG	PHX	29	+0.8	+0.2	2,702
36	Bam AdebayoC/PF · MIA · 29 · +0.9 z	C/PF	MIA	29	+0.9	+1.7	2,682
37	Karl-Anthony TownsC/PF · NYK · 30 · +1.7 z	C/PF	NYK	30	+1.7	+1.6	2,652
38	Amen ThompsonPG/SF/SG · HOU · 23 · +0.3 z	PG/SF/SG	HOU	23	+0.3	−0.4	2,571
39	OG AnunobyPF/SF · NYK · 29 · +0.5 z	PF/SF	NYK	29	+0.5	+0.9	2,564
40	Jalen BrunsonPG · NYK · 30 · +0.2 z	PG	NYK	30	+0.2	+0.6	2,563
41	Jalen WilliamsDTDPF/SF/SG · OKC · 25 · +0.7 z	PF/SF/SG	OKC	25	+0.7	−1.5	2,481
42	Jalen SuggsDTDPG · ORL · 25 · +0.3 z	PG	ORL	25	+0.3	+1.0	2,442
43	Jaren Jackson Jr.C/PF · UTA · 27 · +0.3 z	C/PF	UTA	27	+0.3	+0.2	2,427
44	Caleb WilsonRookiePF/SF · CHI · 20 · −1.7 z	PF/SF	CHI	20	−1.7	—	2,421
45	Keyonte GeorgePG/SG · UTA · 22 · 0.0 z	PG/SG	UTA	22	0.0	+1.5	2,346
46	Michael Porter Jr.PF/SF · BKN · 28 · +0.7 z	PF/SF	BKN	28	+0.7	+2.3	2,316
47	Josh GiddeyPG/SG · CHI · 24 · +0.3 z	PG/SG	CHI	24	+0.3	+0.1	2,262
48	Tyler HerroPG/SG · MIL · 26 · +0.8 z	PG/SG	MIL	26	+0.8	+0.4	2,250
49	Ryan RollinsPG · MIL · 24 · −1.6 z	PG	MIL	24	−1.6	+0.3	2,212
50	Donovan ClinganC · POR · 22 · −0.8 z	C	POR	22	−0.8	+0.1	2,124

That's the top 50 of 239.

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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 3PM 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.