How accurate these were

5 weeks ยท 1,280 player-weeks graded

4.66

avg miss (PPR)

5.16

last-season average

+0.50

bias ยท ran light

The market's projections landed 0.50 PPR closer than scoring the same players on last season's average โ€” which is the comparison that matters, and the one nobody else publishes.

Fantasy

Market Projections

37 players across 14 games ยท lines as of 2026-10-16 17:05

Where these come from. Not a model โ€” this week's prop lines converted into PPR points. Receiving and rushing yards at 0.1/yd, receptions at 1.0, passing yards at 0.04, and expected touchdowns from the anytime and 2+ TD markets. You can check every number against the board yourself.

Not yet validated. We grade these against what players actually score, starting Week 1. Until that has real weeks behind it, treat this as what the market expects โ€” not as a claim that the market is right.

#PlayerPPRRec ydRecRush ydPass ydE[TD]vs baseBet
1Brock BowersTE ยท LV18.6816.5โ€”โ€”0.68+6.7โ€”
2Trey McBrideTE ยท ARI16.7647.5โ€”โ€”0.47+1.1โ€”
3George KittleTE ยท SF15.6645.5โ€”โ€”0.62+3.8โ€”
4Isaiah LikelyTE ยท NYG13.3535.5โ€”โ€”0.42+8.0โ€”
5Travis KelceTE ยท KC12.6524.5โ€”โ€”0.50+2.6โ€”
6Dalton KincaidTE ยท BUF12.3524.5โ€”โ€”0.44+3.3โ€”
7Tyler WarrenTE ยท IND12.3494.5โ€”โ€”0.48+2.4A+
8Tucker KraftTE ยท GB11.8494.5โ€”โ€”0.41+0.7โ€”
9Juwan JohnsonTE ยท NO10.7424.5โ€”โ€”0.33+1.2โ€”
10Harold Fannin Jr.TE ยท CLE10.4374.5โ€”โ€”0.38+0.3โ€”
11Colston LovelandTE ยท CHI9.7373.5โ€”โ€”0.43+0.6โ€”
12Hunter HenryTE ยท NE9.3333.5โ€”โ€”0.42-0.1โ€”
13Pat FreiermuthTE ยท PIT8.9383.5โ€”โ€”0.28+1.9โ€”
14Brenton StrangeTE ยท JAX8.9383.5โ€”โ€”0.28+0.4โ€”
15Dalton SchultzTE ยท HOU8.7363.5โ€”โ€”0.27-0.6โ€”
16Mark AndrewsTE ยท BAL8.3293.5โ€”โ€”0.33+1.2A-
17Kyle Pitts Sr.TE ยท ATL8.3313.5โ€”โ€”0.28-2.6โ€”
18Jake FergusonTE ยท DAL8.0273.5โ€”โ€”0.31-1.8โ€”
19Michael MayerTE ยท LV8.0293.5โ€”โ€”0.27+2.4โ€”
20Tyler HigbeeTE ยท LAR7.8352.5โ€”โ€”0.30+1.2โ€”
21Cade OttonTE ยท TB7.8323.5โ€”โ€”0.18+0.3A-
22A.J. BarnerTE ยท SEA6.8272.5โ€”โ€”0.28-1.1โ€”
23Darren WallerTE ยท CAR6.8292.5โ€”โ€”0.24-1.5โ€”
24Kenyon SadiqTE ยท NYJ6.3252.5โ€”โ€”0.23โ€”โ€”
25Darnell WashingtonTE ยท PIT6.0222.5โ€”โ€”0.23+0.4โ€”
26Charlie KolarTE ยท LAC5.9242.5โ€”โ€”0.18+2.4โ€”
27Evan EngramTE ยท DEN5.6212.5โ€”โ€”0.18-0.5โ€”
28Gunnar HelmTE ยท TEN5.3182.5โ€”โ€”0.17-0.4โ€”
29Noah GrayTE ยท KC4.3131.5โ€”โ€”0.26+0.8โ€”
30Colby ParkinsonTE ยท LAR4.3141.5โ€”โ€”0.24-4.0โ€”
31Oronde Gadsden IITE ยท LAC3.6141.5โ€”โ€”0.13-4.3โ€”
32Cole KmetTE ยท CHI3.591.5โ€”โ€”0.19-1.5โ€”
33Noah FantTE ยท NO3.4111.5โ€”โ€”0.15-2.2โ€”
34Elijah HigginsTE ยท ARI3.4141.5โ€”โ€”0.09-0.5โ€”
35Theo JohnsonTE ยท NYG3.181.5โ€”โ€”0.15-4.6โ€”
36Davis AllenTE ยท LAR1.980.5โ€”โ€”0.11-2.6โ€”
37Nate BoerkircherTE ยท JAX1.550.5โ€”โ€”0.09โ€”โ€”

โ€œvs baseโ€ compares the market to last season's per-game production, regressed toward the positional mean. A large gap means the two disagree about this week โ€” which is the interesting case, not an error. Players with no 2025 prior show a dash. Connect your league to see only your players โ†’