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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106 players

#			Opp
1	TEBrock BowersLV	LV	vs LAR	11.1	5.7	65.2	0.6
2	TESam LaPortaDET	DET	vs GB	11.0	5.2	67.7	0.5
3	TEGeorge KittleSF	SF	@ ATL	10.9	4.8	63.2	0.6
4	TETrey McBrideARI	ARI	vs DEN	10.8	7.7	64.9	0.5
5	TETucker KraftGB	GB	@ DET	10.5	4.9	58.7	0.5
6	TEIsaiah LikelyNYG	NYG	@ HOU	10.0	6.1	56.2	0.4
7	TEColston LovelandCHI	CHI	vs NE	8.0	3.8	48.3	0.4
8	TETyler HigbeeLAR	LAR	@ LV	6.6	3.7	41.9	0.3
9	TEDallas GoedertPHI	PHI	vs DAL	6.4	3.9	37.9	0.3
10	TEHunter HenryNE	NE	@ CHI	6.2	3.2	37.7	0.3
11	TEMichael MayerLV	LV	vs LAR	6.1	4.2	39.2	0.2
12	TEPat FreiermuthPIT	PIT	@ NO	6.0	3.0	32.4	0.4
13	TEKyle PittsATL	ATL	vs SF	5.9	3.3	36.8	0.3
14	TEJuwan JohnsonNO	NO	vs PIT	5.6	3.8	39.2	0.2
15	TECade OttonTB	TB	@ CAR	5.5	3.5	33.0	0.1
16	TETommy TrembleCAR	CAR	vs TB	5.4	3.1	29.5	0.3
17	TETravis KelceKC	KC	@ SEA	5.1	3.2	34.7	0.2
18	TEAJ BarnerSEA	SEA	vs KC	5.0	3.1	29.2	0.3
19	TEDarnell WashingtonPIT	PIT	@ NO	5.0	2.8	28.7	0.3
20	TEHarold Fannin Jr.CLE	CLE	@ TEN	5.0	2.9	26.6	0.3
21	TEMike GesickiCIN	CIN	@ BAL	4.7	2.6	31.8	0.3
22	TEDarren WallerCAR	CAR	vs TB	4.5	2.5	30.2	0.3
23	TEMark AndrewsBAL	BAL	vs CIN	4.5	3.1	29.5	0.2
24	TEDalton SchultzHOU	HOU	vs NYG	4.4	2.9	30.6	0.2
25	TET.J. HockensonMIN	MIN	vs IND	4.4	3.1	30.0	0.2
26	TEEvan EngramDEN	DEN	@ ARI	3.9	2.8	27.4	0.1
27	TEJake FergusonDAL	DAL	@ PHI	3.6	2.8	22.3	0.2
28	TEWill MalloryIND	IND	@ MIN	3.4	2.4	26.0	0.1
29	TEGreg DulcichMIA	MIA	@ NYJ	3.2	2.4	22.7	0.1
30	TEMason TaylorNYJ	NYJ	vs MIA	2.6	2.0	17.7	0.1
31	TEFoster MoreauHOU	HOU	vs NYG	2.5	1.4	14.1	0.2
32	TEMo Alie-CoxIND	IND	@ MIN	2.5	2.0	15.7	0.1
33	TENoah GrayKC	KC	@ SEA	2.5	1.8	17.3	0.1
34	TEColby ParkinsonLAR	LAR	@ LV	2.5	1.7	17.8	0.2
35	TEEli RaridonNE	NE	@ CHI	2.4	1.7	19.0	0.2
36	TEKenyon SadiqNYJ	NYJ	vs MIA	2.1	1.4	13.5	0.1
37	TENoah FantNO	NO	vs PIT	1.9	1.4	11.6	0.1
38	TEElijah HigginsARI	ARI	vs DEN	1.8	1.5	13.0	0.1
39	TEGavin BartholomewMIN	MIN	vs IND	1.6	1.5	13.2	0.1
40	TEGunnar HelmTEN	TEN	vs CLE	1.6	1.5	11.2	0.1
41	TECole KmetCHI	CHI	vs NE	1.6	1.2	13.6	0.1
42	TEMitchell EvansCAR	CAR	vs TB	1.6	1.2	11.5	0.1
43	TEJosh CuevasBAL	BAL	vs CIN	1.6	1.1	10.8	0.1
44	TEBrevyn Spann-FordDAL	DAL	@ PHI	1.4	1.1	11.0	0.1
45	TEPharaoh BrownIND	IND	@ MIN	1.3	1.3	9.8	0.1
46	TEErick AllCIN	CIN	@ BAL	1.2	1.2	10.4	0.1
47	TEBrock WrightDET	DET	vs GB	1.1	1.2	11.1	0.1
48	TEDavis AllenLAR	LAR	@ LV	1.0	0.8	8.5	0.1
49	TEDaniel BellingerTEN	TEN	vs CLE	0.9	1.0	9.0	0.1
50	TEAndrew OgletreeIND	IND	@ MIN	0.8	1.2	10.6	0.1
51	TEDrew SampleCIN	CIN	@ BAL	0.7	1.2	8.5	0.1
52	TEMatthew HibnerBAL	BAL	vs CIN	0.6	0.8	8.4	0.1
53	TEJohnny MundtPHI	PHI	vs DAL	0.4	0.8	6.8	0.0
54	TEWill KacmarekMIA	MIA	@ NYJ	0.4	0.8	7.0	0.1
55	TEJustin JolyMIA	MIA	@ NYJ	0.3	0.7	6.6	0.0
56	TENate AdkinsDEN	DEN	@ ARI	0.2	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

Close call?

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