Fantasy projections

Every player's median outcome from 10,000 simulated games, with the stat line behind it. Updated 2m ago.

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159 players

#			Opp
1	WRAmon-Ra St. BrownDET	DET	vs GB	16.5	7.8	102.3	0.8
2	WRJaxon Smith-NjigbaSEA	SEA	vs KC	15.5	7.9	109.7	0.7
3	WRDrake LondonATL	ATL	vs SF	13.9	6.9	103.3	0.5
4	WRChristian WatsonGB	GB	@ DET	13.7	4.9	94.8	0.8
5	WRZay FlowersBAL	BAL	vs CIN	12.4	6.2	85.7	0.4
6	WRJa'Marr ChaseCIN	CIN	@ BAL	11.9	6.7	80.1	0.6
7	WRMatthew GoldenGB	GB	@ DET	11.8	4.7	76.8	0.5
8	WRCeeDee LambDAL	DAL	@ PHI	11.3	6.6	85.2	0.4
9	WRTetairoa McMillanCAR	CAR	vs TB	11.0	5.7	83.7	0.5
10	WRJameson WilliamsDET	DET	vs GB	10.9	4.2	74.7	0.4
11	WRJalen CokerCAR	CAR	vs TB	10.8	4.8	64.5	0.5
12	WRDK MetcalfPIT	PIT	@ NO	10.7	5.4	70.8	0.4
13	WRGeorge PickensDAL	DAL	@ PHI	10.7	5.0	74.2	0.3
14	WRChris OlaveNO	NO	vs PIT	10.6	6.4	78.3	0.4
15	WRTee HigginsCIN	CIN	@ BAL	10.5	4.9	73.0	0.5
16	WRMichael WilsonARI	ARI	vs DEN	10.0	5.7	64.3	0.4
17	WRNico CollinsHOU	HOU	vs NYG	9.8	4.0	63.3	0.4
18	WRXavier WorthyKC	KC	@ SEA	9.7	5.5	62.6	0.3
19	WRA.J. BrownNE	NE	@ CHI	9.7	5.6	73.9	0.4
20	WRGarrett WilsonNYJ	NYJ	vs MIA	9.6	4.9	55.1	0.4
21	WRJustin JeffersonMIN	MIN	vs IND	9.5	4.5	59.1	0.4
22	WRTre TuckerLV	LV	vs LAR	9.1	4.2	57.5	0.4
23	WRMalik NabersNYG	NYG	@ HOU	9.0	5.6	57.5	0.3
24	WRLuther Burden IIICHI	CHI	vs NE	8.8	4.4	58.4	0.3
25	WRChris Godwin Jr.TB	TB	@ CAR	8.5	5.2	53.2	0.3
26	WRRome OdunzeCHI	CHI	vs NE	8.3	3.5	57.2	0.3
27	WRCarnell TateTEN	TEN	vs CLE	7.7	4.4	50.4	0.3
28	WRJaylen WaddleDEN	DEN	@ ARI	7.7	4.1	52.9	0.3
29	WRGermie BernardPIT	PIT	@ NO	7.5	4.5	43.8	0.3
30	WRDevaughn VeleNO	NO	vs PIT	7.3	4.2	46.7	0.3
31	WRDeMario DouglasNE	NE	@ CHI	7.0	3.7	46.3	0.4
32	WRMalik WashingtonMIA	MIA	@ NYJ	6.8	4.2	37.7	0.2
33	WRWan'Dale RobinsonTEN	TEN	vs CLE	6.8	4.7	40.1	0.3
34	WRMakai LemonPHI	PHI	vs DAL	6.8	5.1	42.1	0.2
35	WRCourtland SuttonDEN	DEN	@ ARI	6.5	3.5	45.0	0.4
36	WRDenzel BostonCLE	CLE	@ TEN	6.4	2.8	45.9	0.3
37	WRRyan FlournoyDAL	DAL	@ PHI	6.3	3.6	40.4	0.2
38	WRKonata MumpfieldLAR	LAR	@ LV	6.2	3.7	53.7	0.3
39	WRKeenan AllenIND	IND	@ MIN	6.0	4.3	36.8	0.2
40	WRJosh DownsIND	IND	@ MIN	5.9	4.4	43.6	0.2
41	WRJordan AddisonMIN	MIN	vs IND	5.9	3.0	43.6	0.3
42	WRJahan DotsonATL	ATL	vs SF	5.6	2.4	42.5	0.3
43	WRCooper KuppSEA	SEA	vs KC	5.1	3.2	37.2	0.2
44	WRJaylin NoelHOU	HOU	vs NYG	5.1	1.9	30.1	0.2
45	WRCaleb DouglasMIA	MIA	@ NYJ	4.7	3.2	38.9	0.2
46	WRDarius CooperPHI	PHI	vs DAL	4.6	2.2	28.5	0.3
47	WRTed Hurst IIITB	TB	@ CAR	4.6	2.6	39.1	0.2
48	WRKC ConcepcionCLE	CLE	@ TEN	4.5	3.3	29.2	0.1
49	WROmar Cooper Jr.NYJ	NYJ	vs MIA	4.4	1.9	27.2	0.2
50	WRMarvin Harrison Jr.HOU	HOU	vs NYG	4.3	2.2	33.7	0.3
51	WRRashid ShaheedSEA	SEA	vs KC	4.1	2.1	29.5	0.1
52	WRChristian KirkSFQ	SF	@ ATL	4.0	3.3	45.3	0.3
53	WRJerry JeudyCLE	CLE	@ TEN	3.9	2.3	27.2	0.1
54	WRKalif RaymondCHI	CHI	vs NE	3.9	2.8	31.9	0.2
55	WRKendrick BourneARI	ARI	vs DEN	3.7	2.6	28.4	0.1
56	WRXavier HutchinsonHOU	HOU	vs NYG	3.6	2.2	30.9	0.1
57	WRCJ DanielsLAR	LAR	@ LV	3.5	2.7	37.5	0.2
58	WRBrandin CooksSF	SF	@ ATL	3.4	2.2	31.8	0.2
59	WRMalachi FieldsNYG	NYG	@ HOU	3.3	2.4	28.1	0.1
60	WRJa'Kobi LaneBAL	BAL	vs CIN	3.3	2.2	26.9	0.2

How we project

Each player is simulated 10,000 times against this week'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

Close call?

Compare two players head to head with the start/sit tool.