Fantasy projections

Every player's median outcome from 10,000 simulated games, with the stat line behind it. Updated 18m ago.

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106 players

#			Opp
1	TESam LaPortaDET	DET	vs GB	8.5	5.2	67.7	0.5
2	TEGeorge KittleSF	SF	@ ATL	8.5	4.8	63.2	0.6
3	TEBrock BowersLV	LV	vs LAR	8.2	5.7	65.2	0.6
4	TETucker KraftGB	GB	@ DET	7.8	4.9	58.7	0.5
5	TETrey McBrideARI	ARI	vs DEN	7.3	7.7	64.9	0.5
6	TEIsaiah LikelyNYG	NYG	@ HOU	6.8	6.1	56.2	0.4
7	TEColston LovelandCHI	CHI	vs NE	5.8	3.8	48.3	0.4
8	TETyler HigbeeLAR	LAR	@ LV	4.5	3.7	41.9	0.3
9	TEHunter HenryNE	NE	@ CHI	4.3	3.2	37.7	0.3
10	TEDallas GoedertPHI	PHI	vs DAL	4.2	3.9	37.9	0.3
11	TEKyle PittsATL	ATL	vs SF	4.1	3.3	36.8	0.3
12	TEPat FreiermuthPIT	PIT	@ NO	4.1	3.0	32.4	0.4
13	TEMichael MayerLV	LV	vs LAR	3.8	4.2	39.2	0.2
14	TEJuwan JohnsonNO	NO	vs PIT	3.7	3.8	39.2	0.2
15	TETommy TrembleCAR	CAR	vs TB	3.4	3.1	29.5	0.3
16	TETravis KelceKC	KC	@ SEA	3.4	3.2	34.7	0.2
17	TECade OttonTB	TB	@ CAR	3.4	3.5	33.0	0.1
18	TEMike GesickiCIN	CIN	@ BAL	3.3	2.6	31.8	0.3
19	TEDarnell WashingtonPIT	PIT	@ NO	3.2	2.8	28.7	0.3
20	TEHarold Fannin Jr.CLE	CLE	@ TEN	3.2	2.9	26.6	0.3
21	TEAJ BarnerSEA	SEA	vs KC	3.2	3.1	29.2	0.3
22	TEDarren WallerCAR	CAR	vs TB	3.1	2.5	30.2	0.3
23	TEDalton SchultzHOU	HOU	vs NYG	2.9	2.9	30.6	0.2
24	TEMark AndrewsBAL	BAL	vs CIN	2.8	3.1	29.5	0.2
25	TET.J. HockensonMIN	MIN	vs IND	2.8	3.1	30.0	0.2
26	TEEvan EngramDEN	DEN	@ ARI	2.4	2.8	27.4	0.1
27	TEWill MalloryIND	IND	@ MIN	2.2	2.4	26.0	0.1
28	TEJake FergusonDAL	DAL	@ PHI	2.1	2.8	22.3	0.2
29	TEGreg DulcichMIA	MIA	@ NYJ	1.9	2.4	22.7	0.1
30	TEEli RaridonNE	NE	@ CHI	1.6	1.7	19.0	0.2
31	TEMason TaylorNYJ	NYJ	vs MIA	1.5	2.0	17.7	0.1
32	TEColby ParkinsonLAR	LAR	@ LV	1.5	1.7	17.8	0.2
33	TEFoster MoreauHOU	HOU	vs NYG	1.5	1.4	14.1	0.2
34	TENoah GrayKC	KC	@ SEA	1.5	1.8	17.3	0.1
35	TEMo Alie-CoxIND	IND	@ MIN	1.4	2.0	15.7	0.1
36	TEKenyon SadiqNYJ	NYJ	vs MIA	1.2	1.4	13.5	0.1
37	TEElijah HigginsARI	ARI	vs DEN	1.0	1.5	13.0	0.1
38	TENoah FantNO	NO	vs PIT	0.9	1.4	11.6	0.1
39	TECole KmetCHI	CHI	vs NE	0.9	1.2	13.6	0.1
40	TEGavin BartholomewMIN	MIN	vs IND	0.9	1.5	13.2	0.1
41	TEGunnar HelmTEN	TEN	vs CLE	0.9	1.5	11.2	0.1
42	TEMitchell EvansCAR	CAR	vs TB	0.8	1.2	11.5	0.1
43	TEBrevyn Spann-FordDAL	DAL	@ PHI	0.8	1.1	11.0	0.1
44	TEJosh CuevasBAL	BAL	vs CIN	0.8	1.1	10.8	0.1
45	TEPharaoh BrownIND	IND	@ MIN	0.7	1.3	9.8	0.1
46	TEErick AllCIN	CIN	@ BAL	0.6	1.2	10.4	0.1
47	TEBrock WrightDET	DET	vs GB	0.6	1.2	11.1	0.1
48	TEDavis AllenLAR	LAR	@ LV	0.5	0.8	8.5	0.1
49	TEAndrew OgletreeIND	IND	@ MIN	0.4	1.2	10.6	0.1
50	TEDaniel BellingerTEN	TEN	vs CLE	0.3	1.0	9.0	0.1
51	TEDrew SampleCIN	CIN	@ BAL	0.3	1.2	8.5	0.1
52	TEJohnny MundtPHI	PHI	vs DAL	0.1	0.8	6.8	0.0
53	TEJustin JolyMIA	MIA	@ NYJ	0.1	0.7	6.6	0.0
54	TEWill KacmarekMIA	MIA	@ NYJ	0.1	0.8	7.0	0.1
55	TEAdam TrautmanDEN	DEN	@ ARI	0.0	0.6	6.1	0.0
56	TEAustin HooperATL	ATL	vs SF	0.0	0.7	7.7	0.1
57	TEBauer SharpTB	TB	@ CAR	0.0	0.2	1.8	0.0
58	TEBen YurosekMIN	MIN	vs IND	0.0	0.5	4.6	0.0
59	TEBlake WhiteheartCLE	CLE	@ TEN	0.0	0.4	3.8	0.0
60	TEBrayden WillisSF	SF	@ ATL	0.0	0.1	1.2	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.