Fantasy projections

Every player's median outcome from 10,000 simulated games, with the stat line behind it. Updated 3m ago.

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159 players

#			Opp
1	WRAmon-Ra St. BrownDET	DET	vs GB	20.2	7.8	102.3	0.8
2	WRJaxon Smith-NjigbaSEA	SEA	vs KC	18.9	7.9	109.7	0.7
3	WRDrake LondonATL	ATL	vs SF	17.1	6.9	103.3	0.5
4	WRChristian WatsonGB	GB	@ DET	15.8	4.9	94.8	0.8
5	WRZay FlowersBAL	BAL	vs CIN	15.3	6.2	85.7	0.4
6	WRJa'Marr ChaseCIN	CIN	@ BAL	15.1	6.7	80.1	0.6
7	WRCeeDee LambDAL	DAL	@ PHI	14.3	6.6	85.2	0.4
8	WRMatthew GoldenGB	GB	@ DET	14.2	4.7	76.8	0.5
9	WRTetairoa McMillanCAR	CAR	vs TB	13.5	5.7	83.7	0.5
10	WRJalen CokerCAR	CAR	vs TB	13.4	4.8	64.5	0.5
11	WRDK MetcalfPIT	PIT	@ NO	13.3	5.4	70.8	0.4
12	WRChris OlaveNO	NO	vs PIT	13.3	6.4	78.3	0.4
13	WRGeorge PickensDAL	DAL	@ PHI	13.3	5.0	74.2	0.3
14	WRJameson WilliamsDET	DET	vs GB	13.0	4.2	74.7	0.4
15	WRTee HigginsCIN	CIN	@ BAL	12.8	4.9	73.0	0.5
16	WRMichael WilsonARI	ARI	vs DEN	12.8	5.7	64.3	0.4
17	WRXavier WorthyKC	KC	@ SEA	12.4	5.5	62.6	0.3
18	WRGarrett WilsonNYJ	NYJ	vs MIA	12.2	4.9	55.1	0.4
19	WRA.J. BrownNE	NE	@ CHI	12.1	5.6	73.9	0.4
20	WRJustin JeffersonMIN	MIN	vs IND	11.8	4.5	59.1	0.4
21	WRMalik NabersNYG	NYG	@ HOU	11.8	5.6	57.5	0.3
22	WRNico CollinsHOU	HOU	vs NYG	11.8	4.0	63.3	0.4
23	WRTre TuckerLV	LV	vs LAR	11.3	4.2	57.5	0.4
24	WRChris Godwin Jr.TB	TB	@ CAR	11.2	5.2	53.2	0.3
25	WRLuther Burden IIICHI	CHI	vs NE	11.0	4.4	58.4	0.3
26	WRRome OdunzeCHI	CHI	vs NE	10.2	3.5	57.2	0.3
27	WRCarnell TateTEN	TEN	vs CLE	9.9	4.4	50.4	0.3
28	WRGermie BernardPIT	PIT	@ NO	9.8	4.5	43.8	0.3
29	WRJaylen WaddleDEN	DEN	@ ARI	9.6	4.1	52.9	0.3
30	WRDevaughn VeleNO	NO	vs PIT	9.4	4.2	46.7	0.3
31	WRMakai LemonPHI	PHI	vs DAL	9.2	5.1	42.1	0.2
32	WRWan'Dale RobinsonTEN	TEN	vs CLE	9.2	4.7	40.1	0.3
33	WRMalik WashingtonMIA	MIA	@ NYJ	9.0	4.2	37.7	0.2
34	WRDeMario DouglasNE	NE	@ CHI	8.8	3.7	46.3	0.4
35	WRKeenan AllenIND	IND	@ MIN	8.3	4.3	36.8	0.2
36	WRCourtland SuttonDEN	DEN	@ ARI	8.2	3.5	45.0	0.4
37	WRRyan FlournoyDAL	DAL	@ PHI	8.2	3.6	40.4	0.2
38	WRJosh DownsIND	IND	@ MIN	7.9	4.4	43.6	0.2
39	WRDenzel BostonCLE	CLE	@ TEN	7.9	2.8	45.9	0.3
40	WRKonata MumpfieldLAR	LAR	@ LV	7.6	3.7	53.7	0.3
41	WRJordan AddisonMIN	MIN	vs IND	7.3	3.0	43.6	0.3
42	WRJahan DotsonATL	ATL	vs SF	6.8	2.4	42.5	0.3
43	WRCooper KuppSEA	SEA	vs KC	6.8	3.2	37.2	0.2
44	WRJaylin NoelHOU	HOU	vs NYG	6.3	1.9	30.1	0.2
45	WRKC ConcepcionCLE	CLE	@ TEN	6.2	3.3	29.2	0.1
46	WRCaleb DouglasMIA	MIA	@ NYJ	6.2	3.2	38.9	0.2
47	WRDarius CooperPHI	PHI	vs DAL	6.0	2.2	28.5	0.3
48	WRTed Hurst IIITB	TB	@ CAR	5.8	2.6	39.1	0.2
49	WROmar Cooper Jr.NYJ	NYJ	vs MIA	5.5	1.9	27.2	0.2
50	WRMarvin Harrison Jr.HOU	HOU	vs NYG	5.5	2.2	33.7	0.3
51	WRJerry JeudyCLE	CLE	@ TEN	5.3	2.3	27.2	0.1
52	WRRashid ShaheedSEA	SEA	vs KC	5.2	2.1	29.5	0.1
53	WRKalif RaymondCHI	CHI	vs NE	5.2	2.8	31.9	0.2
54	WRChristian KirkSFQ	SF	@ ATL	5.1	3.3	45.3	0.3
55	WRKendrick BourneARI	ARI	vs DEN	5.0	2.6	28.4	0.1
56	WRXavier HutchinsonHOU	HOU	vs NYG	4.6	2.2	30.9	0.1
57	WRJa'Kobi LaneBAL	BAL	vs CIN	4.4	2.2	26.9	0.2
58	WRCJ DanielsLAR	LAR	@ LV	4.4	2.7	37.5	0.2
59	WRMalachi FieldsNYG	NYG	@ HOU	4.4	2.4	28.1	0.1
60	WRTez JohnsonTB	TB	@ CAR	4.3	1.8	25.8	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.