Graded · 2 contests · 177,442 entries

NFL Week 8 FanDuel ownership: CHI @ SEA Single Game

What the field actually played on the NFL Week 8 FanDuel CHI @ SEA Single Game, next to what we projected before lock. Our misses are shown in full.

November 2, 2026 · Updated November 3, 2026 · After The Timeout

1 game · showdown

The slate at a glance

Sport
NFL
Week
Week 8
Site
FanDuel
Format
Showdown (single game)
Games
1
Teams
CHI, SEA
First lock
Mon Nov 2, 8:15 PM ET
Player pool
29 players
Projections
Captured Mon Nov 2, 4:38 PM ET, before lock

Top 12 by real ownership

The chalk: who the field played most

Field ownership is the share of lineups that used each player, from 2 large-field tournament contests, 177,442 entries. Gap is the field minus our projection: green means the field played him more than we expected.

Ours vs the field, 2 large-field tournament contests, 177,442 entries
PlayerPosOursFieldGap
Jaxon Smith-NjigbaSEAWR72.4%84.5%+12.1
Caleb WilliamsCHIQB62.5%73.3%+10.8
Sam DarnoldSEAQB65.0%68.1%+3.1
D'Andre SwiftCHIRB61.9%59.9%−2.0
Luther Burden IIICHIWR36.1%42.4%+6.3
AJ BarnerSEATE29.9%41.2%+11.3
Colston LovelandCHITE28.9%32.7%+3.9
Jason MyersSEAK35.9%31.4%−4.5
Cairo SantosCHIK32.8%23.5%−9.2
Tory HortonSEAWR7.7%18.9%+11.2
Zach CharbonnetSEARB44.4%18.8%−25.6
Seattle SeahawksSEADST26.4%18.8%−7.6

10 players where we were furthest off

Our biggest misses

We publish these on purpose. The players the field played far more than we expected, and the ones it passed on.

The field played him more than we projected
PlayerPosOursFieldGap
Jaxon Smith-NjigbaSEAWR72.4%84.5%+12.1
AJ BarnerSEATE29.9%41.2%+11.3
Tory HortonSEAWR7.7%18.9%+11.2
Caleb WilliamsCHIQB62.5%73.3%+10.8
Luther Burden IIICHIWR36.1%42.4%+6.3
The field played him less than we projected
PlayerPosOursFieldGap
Zach CharbonnetSEARB44.4%18.8%−25.6
Emanuel WilsonSEARB20.2%9.3%−10.8
Cairo SantosCHIK32.8%23.5%−9.2
Seattle SeahawksSEADST26.4%18.8%−7.6
Chicago BearsCHIDST19.5%11.9%−7.6

Large-field tournament contests · n = 30 players

How our projections held up

We compared our projected ownership with the real field for 30 players across 2 large-field tournament contests (177,442 entries). On average our number was 5.0 percentage points away from the field's. On the 15 players at 10% ownership or more, the average gap was 7.9 points. Across the board the field owned these players 0.2 points less than we projected, on average.

5.0 ptsaverage gap, ours vs the field (30 players)
0.95correlation with real ownership, 1.00 is a perfect match (n = 30)
7.9 ptsaverage gap on the 15 players at 10%+
2large-field tournament contests, 177,442 entries
The grade by contest type
Contest typeContestsEntriesPlayersAvg gapCorr
Large-field tournament2177,442305.00.95

We grade a contest type once it has at least 2 contests. Cash games are not used to grade tournament ownership.

What these numbers mean

Average gap is how far our projected ownership sat from the real field, in percentage points, averaged over every player compared. If we had a player at 20% and the field played him at 26%, that player adds a 6-point gap.

Correlation measures whether we had the order right: who the field would play most and least. 1.00 would be a perfect match and 0 would be no relationship at all.

Players compared covers our whole player pool plus anyone the field used that we did not have in it.

The 2 contests behind these numbers
ContestGroupEntriesFeeMax entries
$6K Mon NFL Pooch Punt (150 Entries Max)large-field tournament143,712$0.05150
$425K NFL Monday Night Special ($100K to 1st)large-field tournament33,730$15-
How our fantasy point projections held up

Across 29 players, our point projections missed by 2.8 fantasy points on average (3.8 on players who scored), with a correlation of 0.86 against what they actually scored.

Biggest point misses
PlayerOursActualGap
D'Andre SwiftCHI14.426.9+12.5
Emanuel WilsonSEA6.70.0−6.7
Zach CharbonnetSEA10.94.4−6.5
Luther Burden IIICHI9.015.1+6.1
Jaxon Smith-NjigbaSEA17.823.8+6.0
By position
PosPlayersAvg missBias
DST23.6−1.1
K24.3−0.8
QB22.5+0.9
RB74.1+0.2
TE60.7−0.5
WR102.8+2.6

Before the next lock

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Members get projected ownership and points for every player on every slate we cover, lineups tested in contest simulations, and this grade on each one afterwards.

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