Fantasy projections

Every player's median outcome from 10,000 simulated games, with the stat line behind it. Updated 6m ago.

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106 players

#			Opp
1	TETrey McBrideARI	ARI	vs DEN	14.2	7.7	64.9	0.5
2	TEBrock BowersLV	LV	vs LAR	13.8	5.7	65.2	0.6
3	TESam LaPortaDET	DET	vs GB	13.6	5.2	67.7	0.5
4	TEGeorge KittleSF	SF	@ ATL	13.4	4.8	63.2	0.6
5	TEIsaiah LikelyNYG	NYG	@ HOU	13.1	6.1	56.2	0.4
6	TETucker KraftGB	GB	@ DET	12.9	4.9	58.7	0.5
7	TEColston LovelandCHI	CHI	vs NE	10.0	3.8	48.3	0.4
8	TETyler HigbeeLAR	LAR	@ LV	8.5	3.7	41.9	0.3
9	TEDallas GoedertPHI	PHI	vs DAL	8.4	3.9	37.9	0.3
10	TEMichael MayerLV	LV	vs LAR	8.2	4.2	39.2	0.2
11	TEHunter HenryNE	NE	@ CHI	7.9	3.2	37.7	0.3
12	TEPat FreiermuthPIT	PIT	@ NO	7.8	3.0	32.4	0.4
13	TEKyle PittsATL	ATL	vs SF	7.7	3.3	36.8	0.3
14	TECade OttonTB	TB	@ CAR	7.5	3.5	33.0	0.1
15	TEJuwan JohnsonNO	NO	vs PIT	7.4	3.8	39.2	0.2
16	TETommy TrembleCAR	CAR	vs TB	7.3	3.1	29.5	0.3
17	TETravis KelceKC	KC	@ SEA	6.9	3.2	34.7	0.2
18	TEHarold Fannin Jr.CLE	CLE	@ TEN	6.9	2.9	26.6	0.3
19	TEAJ BarnerSEA	SEA	vs KC	6.8	3.1	29.2	0.3
20	TEDarnell WashingtonPIT	PIT	@ NO	6.8	2.8	28.7	0.3
21	TEMike GesickiCIN	CIN	@ BAL	6.2	2.6	31.8	0.3
22	TEDalton SchultzHOU	HOU	vs NYG	6.1	2.9	30.6	0.2
23	TET.J. HockensonMIN	MIN	vs IND	6.1	3.1	30.0	0.2
24	TEMark AndrewsBAL	BAL	vs CIN	6.0	3.1	29.5	0.2
25	TEDarren WallerCAR	CAR	vs TB	6.0	2.5	30.2	0.3
26	TEEvan EngramDEN	DEN	@ ARI	5.3	2.8	27.4	0.1
27	TEJake FergusonDAL	DAL	@ PHI	5.1	2.8	22.3	0.2
28	TEWill MalloryIND	IND	@ MIN	4.6	2.4	26.0	0.1
29	TEGreg DulcichMIA	MIA	@ NYJ	4.4	2.4	22.7	0.1
30	TEMason TaylorNYJ	NYJ	vs MIA	3.6	2.0	17.7	0.1
31	TEFoster MoreauHOU	HOU	vs NYG	3.6	1.4	14.1	0.2
32	TEMo Alie-CoxIND	IND	@ MIN	3.5	2.0	15.7	0.1
33	TENoah GrayKC	KC	@ SEA	3.5	1.8	17.3	0.1
34	TEColby ParkinsonLAR	LAR	@ LV	3.3	1.7	17.8	0.2
35	TEEli RaridonNE	NE	@ CHI	3.3	1.7	19.0	0.2
36	TEKenyon SadiqNYJ	NYJ	vs MIA	2.9	1.4	13.5	0.1
37	TEElijah HigginsARI	ARI	vs DEN	2.6	1.5	13.0	0.1
38	TENoah FantNO	NO	vs PIT	2.5	1.4	11.6	0.1
39	TEGavin BartholomewMIN	MIN	vs IND	2.4	1.5	13.2	0.1
40	TEGunnar HelmTEN	TEN	vs CLE	2.4	1.5	11.2	0.1
41	TEJosh CuevasBAL	BAL	vs CIN	2.3	1.1	10.8	0.1
42	TECole KmetCHI	CHI	vs NE	2.3	1.2	13.6	0.1
43	TEMitchell EvansCAR	CAR	vs TB	2.1	1.2	11.5	0.1
44	TEBrevyn Spann-FordDAL	DAL	@ PHI	2.1	1.1	11.0	0.1
45	TEErick AllCIN	CIN	@ BAL	1.8	1.2	10.4	0.1
46	TEPharaoh BrownIND	IND	@ MIN	1.7	1.3	9.8	0.1
47	TEBrock WrightDET	DET	vs GB	1.6	1.2	11.1	0.1
48	TEDavis AllenLAR	LAR	@ LV	1.5	0.8	8.5	0.1
49	TEDaniel BellingerTEN	TEN	vs CLE	1.3	1.0	9.0	0.1
50	TEMatthew HibnerBAL	BAL	vs CIN	1.2	0.8	8.4	0.1
51	TEAndrew OgletreeIND	IND	@ MIN	1.1	1.2	10.6	0.1
52	TEDrew SampleCIN	CIN	@ BAL	1.0	1.2	8.5	0.1
53	TEJohnny MundtPHI	PHI	vs DAL	0.7	0.8	6.8	0.0
54	TEWill KacmarekMIA	MIA	@ NYJ	0.7	0.8	7.0	0.1
55	TEJustin JolyMIA	MIA	@ NYJ	0.6	0.7	6.6	0.0
56	TENate AdkinsDEN	DEN	@ ARI	0.3	0.7	6.2	0.1
57	TEAdam TrautmanDEN	DEN	@ ARI	0.0	0.6	6.1	0.0
58	TEAustin HooperATL	ATL	vs SF	0.0	0.7	7.7	0.1
59	TEBauer SharpTB	TB	@ CAR	0.0	0.2	1.8	0.0
60	TEBen YurosekMIN	MIN	vs IND	0.0	0.5	4.6	0.0

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

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