Graded · 2 contests · 15,532 entries

NFL Week 5 FanDuel ownership: Primetime Sun-Mon slate

What the field actually played on the NFL Week 5 FanDuel Primetime Sun-Mon slate, next to what we projected before lock. Our misses are shown in full.

October 11, 2026 · Updated October 12, 2026 · After The Timeout

2 games · classic

The slate at a glance

Sport
NFL
Week
Week 5
Site
FanDuel
Format
Classic
Games
2
Teams
ATL, BAL, BUF, LAR
First lock
Sun Oct 11, 8:20 PM ET
Player pool
29 players
Projections
Captured Sun Oct 11, 2:37 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, 15,532 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, 15,532 entries
PlayerPosOursFieldGap
Bijan RobinsonATLRB61.7%71.1%+9.4
Atlanta FalconsATLDST55.6%70.6%+15.0
Kyren WilliamsLARRB58.6%61.7%+3.1
Drake LondonATLWR31.4%52.0%+20.6
Keon ColemanBUFWR24.7%48.5%+23.7
Puka NacuaLARWR22.7%45.8%+23.1
Dalton KincaidBUFTE26.4%43.7%+17.2
Tyler HigbeeLARTE13.8%43.2%+29.4
Matthew StaffordLARQB23.3%41.5%+18.2
Zay FlowersBALWR90.5%36.3%−54.2
Khalil ShakirBUFWR36.8%34.8%−1.9
Mark AndrewsBALTE26.6%34.3%+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
Tyler HigbeeLARTE13.8%43.2%+29.4
Keon ColemanBUFWR24.7%48.5%+23.7
Puka NacuaLARWR22.7%45.8%+23.1
Drake LondonATLWR31.4%52.0%+20.6
Matthew StaffordLARQB23.3%41.5%+18.2
The field played him less than we projected
PlayerPosOursFieldGap
Zay FlowersBALWR90.5%36.3%−54.2
Colby ParkinsonLARTE25.6%5.4%−20.2
Ty JohnsonBUFRB19.7%1.7%−18.0
Tyler HuntleyBALQB34.1%16.9%−17.2
James Cook IIIBUFRB42.0%25.8%−16.2

Large-field tournament contests · n = 40 players

How our projections held up

We compared our projected ownership with the real field for 40 players across 2 large-field tournament contests (15,532 entries). On average our number was 11.6 percentage points away from the field's. On the 26 players at 10% ownership or more, the average gap was 14.9 points. Across the board the field owned these players 0.2 points less than we projected, on average.

11.6 ptsaverage gap, ours vs the field (40 players)
0.71correlation with real ownership, 1.00 is a perfect match (n = 40)
14.9 ptsaverage gap on the 26 players at 10%+
2large-field tournament contests, 15,532 entries
The grade by contest type
Contest typeContestsEntriesPlayersAvg gapCorr
Large-field tournament215,5324011.60.71

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
$2K Sun NFL Hail Mary (Only $0.25 to Enter)large-field tournament9,580$0.25-
$20K Sun NFL Rush ($5K to 1st)large-field tournament5,952$4-
How our fantasy point projections held up

Across 29 players, our point projections missed by 5.8 fantasy points on average (5.7 on players who scored), with a correlation of 0.80 against what they actually scored.

Biggest point misses
PlayerOursActualGap
Puka NacuaLAR15.232.2+17.0
Matthew StaffordLAR17.430.3+12.9
Josh AllenBUF22.834.5+11.7
Tyler HuntleyBAL13.124.0+10.9
Blake CorumLAR5.214.7+9.5
By position
PosPlayersAvg missBias
DST42.7−0.5
QB49.0+8.8
RB76.0+3.3
TE55.50.0
WR95.7+3.5

Before the next lock

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