Fantasy projections

Every player's median outcome from 10,000 simulated games, with the stat line behind it. Updated 4m ago.

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30 players

#			Opp
1	CNikola JokicDEN	DEN	vs GSW	57.5	34.6	24.8	12.1	9.7	1.5	0.9	1.7	3.9
2	CBam AdebayoMIA	MIA	vs DAL	40.4	31.4	18.8	9.6	3.9	1.4	0.8	1.6	1.7
3	CEvan MobleyCLE	CLE	vs MIN	38.9	34.0	17.4	9.0	3.4	0.9	1.9	1.1	2.0
4	CChet HolmgrenOKC	OKC	vs PHX	36.7	31.4	16.2	9.5	1.7	0.9	1.8	1.4	1.6
5	CAlperen ŞengünHOUQ	HOU	vs ATL	35.0	23.0	13.8	6.6	3.8	0.8	0.6	0.4	2.4
6	CJarrett AllenCLE	CLE	vs MIN	31.0	28.5	14.1	8.3	1.5	1.1	1.2	0.1	1.4
7	CRudy GobertMIN	MIN	@ CLE	29.1	29.4	9.8	10.4	1.5	0.8	1.1	0.1	1.4
8	CNeemias QuetaBOS	BOS	vs CHI	26.9	22.9	10.5	7.7	1.7	0.7	1.4	0.1	1.0
9	CKel'el WareMIL	MIL	vs IND	26.0	21.4	11.0	8.4	0.9	0.8	1.0	1.1	1.0
10	CAlexandre SarrWAS	WAS	@ CHA	25.0	23.5	11.3	5.2	2.1	0.7	1.2	0.9	1.3
11	CMyles TurnerMIL	MIL	vs IND	23.6	24.0	10.9	4.9	1.4	0.6	1.5	1.7	1.4
12	CDaniel GaffordDALQ	DAL	@ MIA	22.4	16.2	7.9	5.2	1.3	0.6	1.0	0.0	0.9
13	CMitchell RobinsonBOS	BOS	vs CHI	22.4	19.2	6.7	7.9	1.0	0.9	1.2	0.0	0.8
14	CJaxson HayesUTA	UTA	vs MEM	22.0	20.8	8.6	5.4	1.4	0.7	1.3	0.1	0.8
15	CRyan KalkbrennerCHA	CHA	vs WAS	20.4	20.3	7.7	5.8	1.2	0.5	1.3	0.1	1.0
16	CJay HuffIND	IND	@ MIL	18.5	17.4	8.3	3.5	1.4	0.5	1.3	1.3	0.8
17	CJock LandaleATL	ATL	@ HOU	18.1	19.2	8.7	4.6	1.6	0.5	0.5	0.8	0.9
18	CQuinten PostMEM	MEM	@ UTA	17.6	18.7	8.2	4.3	1.5	0.5	0.7	1.4	1.0
19	CKhaman MaluachPHX	PHX	@ OKC	16.6	18.8	5.6	6.0	0.7	0.3	1.3	0.3	1.3
20	CJoan BeringerMIN	MIN	@ CLE	14.0	13.0	6.0	4.6	0.6	0.3	0.6	0.1	0.7
21	CDeandre AytonWAS	WAS	@ CHA	13.9	16.6	6.5	4.3	0.5	0.4	0.5	0.0	0.7
22	CMoussa CisseDAL	DAL	@ MIA	12.8	12.8	5.3	5.1	0.5	0.5	0.8	0.1	0.7
23	CClint CapelaHOU	HOU	vs ATL	10.0	9.4	3.3	3.6	0.5	0.3	0.5	0.0	0.5
24	CPJ HallCHA	CHA	vs WAS	4.5	5.9	2.6	2.0	0.6	0.1	0.3	0.1	0.4
25	CLuka GarzaBOS	BOS	vs CHI	4.0	5.9	3.4	1.6	0.4	0.2	0.2	0.3	0.3
26	CDuop ReathPHX	PHX	@ OKC	1.0	5.0	1.8	1.0	0.2	0.1	0.2	0.3	0.2
27	CAl HorfordGSWQ	GSW	@ DEN	0.0	7.5	2.6	1.7	0.8	0.2	0.3	0.5	0.3
28	CIvica ZubacINDQ	IND	@ MIL	0.0	10.1	4.7	3.8	0.8	0.2	0.3	0.0	0.6
29	CKyle FilipowskiUTA	UTA	vs MEM	0.0	6.9	3.4	2.4	0.9	0.4	0.2	0.3	0.6
30	CNick RichardsMIA	MIA	vs DAL	0.0	3.8	1.6	1.4	0.2	0.1	0.2	0.0	0.3

How we project

Each player is simulated 10,000 times against this day's matchup. The median is the middle outcome; half of simulations land above it.

Floor, ceiling and value

Pro shows the 10th and 90th percentile outcomes, boom and bust odds and, for DFS and FPL, salary-adjusted value. See Pro

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