Fantasy projections

Every player's median outcome from 10,000 simulated games, with the stat line behind it. Updated 20m ago.

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159 players

#			Opp
1	WRAmon-Ra St. BrownDET	DET	vs GB	12.8	7.8	102.3	0.8
2	WRJaxon Smith-NjigbaSEA	SEA	vs KC	12.1	7.9	109.7	0.7
3	WRChristian WatsonGB	GB	@ DET	11.3	4.9	94.8	0.8
4	WRDrake LondonATL	ATL	vs SF	10.8	6.9	103.3	0.5
5	WRZay FlowersBAL	BAL	vs CIN	9.4	6.2	85.7	0.4
6	WRMatthew GoldenGB	GB	@ DET	9.2	4.7	76.8	0.5
7	WRJa'Marr ChaseCIN	CIN	@ BAL	8.9	6.7	80.1	0.6
8	WRJameson WilliamsDET	DET	vs GB	8.8	4.2	74.7	0.4
9	WRTetairoa McMillanCAR	CAR	vs TB	8.6	5.7	83.7	0.5
10	WRCeeDee LambDAL	DAL	@ PHI	8.4	6.6	85.2	0.4
11	WRJalen CokerCAR	CAR	vs TB	8.3	4.8	64.5	0.5
12	WRTee HigginsCIN	CIN	@ BAL	8.2	4.9	73.0	0.5
13	WRGeorge PickensDAL	DAL	@ PHI	8.2	5.0	74.2	0.3
14	WRDK MetcalfPIT	PIT	@ NO	8.1	5.4	70.8	0.4
15	WRChris OlaveNO	NO	vs PIT	7.8	6.4	78.3	0.4
16	WRNico CollinsHOU	HOU	vs NYG	7.8	4.0	63.3	0.4
17	WRA.J. BrownNE	NE	@ CHI	7.2	5.6	73.9	0.4
18	WRMichael WilsonARI	ARI	vs DEN	7.2	5.7	64.3	0.4
19	WRJustin JeffersonMIN	MIN	vs IND	7.0	4.5	59.1	0.4
20	WRGarrett WilsonNYJ	NYJ	vs MIA	7.0	4.9	55.1	0.4
21	WRTre TuckerLV	LV	vs LAR	7.0	4.2	57.5	0.4
22	WRXavier WorthyKC	KC	@ SEA	6.9	5.5	62.6	0.3
23	WRLuther Burden IIICHI	CHI	vs NE	6.7	4.4	58.4	0.3
24	WRRome OdunzeCHI	CHI	vs NE	6.6	3.5	57.2	0.3
25	WRMalik NabersNYG	NYG	@ HOU	6.2	5.6	57.5	0.3
26	WRChris Godwin Jr.TB	TB	@ CAR	5.8	5.2	53.2	0.3
27	WRJaylen WaddleDEN	DEN	@ ARI	5.6	4.1	52.9	0.3
28	WRCarnell TateTEN	TEN	vs CLE	5.3	4.4	50.4	0.3
29	WRDeMario DouglasNE	NE	@ CHI	5.2	3.7	46.3	0.4
30	WRDevaughn VeleNO	NO	vs PIT	5.1	4.2	46.7	0.3
31	WRDenzel BostonCLE	CLE	@ TEN	5.1	2.8	45.9	0.3
32	WRGermie BernardPIT	PIT	@ NO	5.0	4.5	43.8	0.3
33	WRCourtland SuttonDEN	DEN	@ ARI	4.9	3.5	45.0	0.4
34	WRKonata MumpfieldLAR	LAR	@ LV	4.8	3.7	53.7	0.3
35	WRMalik WashingtonMIA	MIA	@ NYJ	4.6	4.2	37.7	0.2
36	WRJordan AddisonMIN	MIN	vs IND	4.4	3.0	43.6	0.3
37	WRWan'Dale RobinsonTEN	TEN	vs CLE	4.3	4.7	40.1	0.3
38	WRRyan FlournoyDAL	DAL	@ PHI	4.3	3.6	40.4	0.2
39	WRJahan DotsonATL	ATL	vs SF	4.2	2.4	42.5	0.3
40	WRMakai LemonPHI	PHI	vs DAL	4.2	5.1	42.1	0.2
41	WRJosh DownsIND	IND	@ MIN	4.0	4.4	43.6	0.2
42	WRJaylin NoelHOU	HOU	vs NYG	3.8	1.9	30.1	0.2
43	WRKeenan AllenIND	IND	@ MIN	3.7	4.3	36.8	0.2
44	WRCooper KuppSEA	SEA	vs KC	3.5	3.2	37.2	0.2
45	WRTed Hurst IIITB	TB	@ CAR	3.4	2.6	39.1	0.2
46	WRCaleb DouglasMIA	MIA	@ NYJ	3.3	3.2	38.9	0.2
47	WRDarius CooperPHI	PHI	vs DAL	3.3	2.2	28.5	0.3
48	WRMarvin Harrison Jr.HOU	HOU	vs NYG	3.1	2.2	33.7	0.3
49	WROmar Cooper Jr.NYJ	NYJ	vs MIA	3.1	1.9	27.2	0.2
50	WRRashid ShaheedSEA	SEA	vs KC	2.9	2.1	29.5	0.1
51	WRChristian KirkSFQ	SF	@ ATL	2.8	3.3	45.3	0.3
52	WRKC ConcepcionCLE	CLE	@ TEN	2.8	3.3	29.2	0.1
53	WRJerry JeudyCLE	CLE	@ TEN	2.7	2.3	27.2	0.1
54	WRKalif RaymondCHI	CHI	vs NE	2.6	2.8	31.9	0.2
55	WRXavier HutchinsonHOU	HOU	vs NYG	2.6	2.2	30.9	0.1
56	WRCJ DanielsLAR	LAR	@ LV	2.5	2.7	37.5	0.2
57	WRBrandin CooksSF	SF	@ ATL	2.5	2.2	31.8	0.2
58	WRKendrick BourneARI	ARI	vs DEN	2.4	2.6	28.4	0.1
59	WRTez JohnsonTB	TB	@ CAR	2.4	1.8	25.8	0.2
60	WRJa'Kobi LaneBAL	BAL	vs CIN	2.3	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.