§ NFL DFS Projections

NFL DFS Week 5 Signals: Pre-Kickoff Snapshot

DFS Engineer Playbook · October 13, 2026 · NFL DFS, Week 5, Projections, Weekly Signals

Week 5 was the first board. We rebuilt it from the model’s records after the games, before this series existed, so read it as a sample of the format. From Week 6 on, the snapshot goes up before kickoff and does not change. It shows what the data looked like, not what to play, and the Week 5 review grades it.

Most DFS content gives you a list of names and a confidence level. This page shows the signals the model read before the games, including where they disagreed, so you can see how the board was built and judge it yourself. After the games we publish the grade, hits and misses both.

How the board was built

Each player’s row draws on three inputs:

All three feed one agreement-weighted score. The board below is top 5 per position by agreement score, plus the next 20 overall. That score decides which names appear and says nothing about who to play: a high score means the inputs agree, not that the player will score.

How to read the columns

The board, by position

Each table is sorted by salary, highest first. Split marks players where the inputs disagreed sharply. For everyone else the model, the public projections, and outside opinion roughly agreed. Agreement does not make a player safe. It means fewer inputs are arguing.

Jump to: Quarterbacks · Running backs · Wide receivers · Tight ends · Defenses · Where the sources split

Quarterbacks

5 on the board. Widest gap between the model and the public average: Jacoby Brissett (model 16.3, public 22.4). Sources split on Drake Maye, Jayden Daniels.

PlayerTeamSalaryModelPublic avgRangeNotes
Joe BurrowCIN$6,90021.120.5MidNone
Jared GoffDET$6,60022.123.7WideNone
Drake MayeNE$6,30019.420.4TightSplit
Jayden DanielsWAS$6,00016.419.2TightSplit
Jacoby BrissettARI$5,50016.322.4MidNone

Running backs

13 on the board. Widest gap between the model and the public average: Braelon Allen (model 4.7, public 13.8). Sources split on Jonathan Taylor, Chase Brown.

PlayerTeamSalaryModelPublic avgRangeNotes
Jahmyr GibbsDET$9,80029.424.2TightNone
Jonathan TaylorIND$7,80015.917.8TightSplit
Ashton JeantyLV$7,20014.614.7MidQuestionable
Chase BrownCIN$6,90020.817.6TightSplit
Jaylen WarrenPIT$6,70015.216.9TightNone
Aaron Jones Sr.MIN$6,50012.015.5TightNone
D’Andre SwiftCHI$6,20018.014.5TightNone
Cam SkatteboNYG$6,00012.413.6MidQuestionable
Quinshon JudkinsCLE$5,70010.814.1TightNone
Rhamondre StevensonNE$5,50014.913.1MidQuestionable
Braelon AllenNYJ$5,4004.713.8MidNone
Emanuel WilsonSEA$5,3005.713.5TightNone
RJ HarveyDEN$5,20014.212.5MidNone

Wide receivers

12 on the board. Widest gap between the model and the public average: Matthew Golden (model 7.7, public 15.3). Sources split on Chris Olave, Nico Collins.

PlayerTeamSalaryModelPublic avgRangeNotes
Jaxon Smith-NjigbaSEA$8,80025.222.0TightNone
Amon-Ra St. BrownDET$7,90022.320.9TightNone
Chris OlaveNO$7,70024.317.4MidSplit
Nico CollinsHOU$7,50021.217.1TightSplit
Justin JeffersonMIN$7,3009.310.1MidQuestionable
Garrett WilsonNYJ$6,60015.417.0TightNone
Mike EvansSF$6,5009.814.1MidQuestionable
Malik NabersNYG$6,30015.615.7MidQuestionable
Michael WilsonARI$6,20017.416.9TightNone
Matthew GoldenGB$5,7007.715.3TightNone
Carnell TateTEN$5,30011.214.3MidQuestionable
Luther Burden IIICHI$4,90011.814.7TightNone

Tight ends

10 on the board. Widest gap between the model and the public average: Isaiah Likely (model 5.4, public 12.1). Sources split on Colston Loveland, Juwan Johnson, Harold Fannin Jr.

PlayerTeamSalaryModelPublic avgRangeNotes
Brock BowersLV$7,00017.915.2TightNone
Trey McBrideARI$6,70020.617.6MidNone
George KittleSF$5,20016.812.7TightNone
Sam LaPortaDET$4,90013.113.7TightNone
Colston LovelandCHI$4,60010.210.4MidSplit
Juwan JohnsonNO$4,50012.310.3MidSplit
Harold Fannin Jr.CLE$4,40013.010.5MidSplit
Isaiah LikelyNYG$4,3005.412.1MidQuestionable
Mike GesickiCIN$4,1008.210.5MidNone
Hunter HenryNE$3,70010.69.1MidNone

Defenses

5 on the board. Widest gap between the model and the public average: HOU DST (model 6.4, public 9.2). The sources agreed on everyone here.

PlayerTeamSalaryModelPublic avgRangeNotes
CIN DSTCIN$3,5009.98.4MidNone
HOU DSTHOU$3,4006.49.2WideNone
DEN DSTDEN$3,2008.18.1MidNone
CLE DSTCLE$2,8007.37.3TightNone
NYJ DSTNYJ$2,7009.87.4WideNone

Where the sources split

9 of the 45 players had at least one input that disagreed sharply with the rest. These are the open questions on the board, whatever their raw score says. When inputs disagree, the projection carries more uncertainty than its number suggests. The disagreement can sit in one source or in outside opinion, so the averaged projections above can look close even when the inputs underneath were far apart.

What to take from the snapshot

Come back after the games for the grade: every projection on this page against the real result. The fuller discussion happens in the community.

FAQ

What is this page?

A timestamped record of the signals the model read before Week 5 kicked off: its own projection, the average of public projections, and where the inputs disagreed. It lists no recommended plays.

What does “Split” mean?

At least one input disagreed sharply with the others, either in how it ranked the player or in how many points it projected. A split means the projection is less settled. It says nothing about whether to play or fade the player.

How is the board chosen?

It is top 5 per position by agreement score, plus the next 20 overall. The agreement score picks and orders the board but is not shown, and a high score does not mean the player will score.

Does this change after the games?

Not after publication. Week 5’s board was rebuilt after the games, so it is a sample of the format. From Week 6 on, the snapshot goes up before kickoff and the review grades what was shown.