WEEK 5 · Sun, Oct 11, 12:00 PM CDT

Cleveland Browns @ New York Jets

6 qualified model plays · 2 modeled lines did not qualify · 2-4-0
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MODEL OVERVIEW

What the board is seeing

Qualified plays 6 Published sides that cleared the current model thresholds.
Avg model win 72.4% Average estimated win probability across this game's qualified plays.
Avg no-vig edge +22.1% Model probability minus the market's no-vig implied probability.
Avg model-implied EV +34.8% Average modeled return using the published side price.

Projection gap is the raw difference between PDR's projection and the sportsbook line. No-vig edge is the probability advantage after removing sportsbook hold. They answer different questions.

How the model works →
QUALIFIED PLAYS

Game prop board

Ranked by the frozen published model board.

#1 MODEL PLAY

Garrett Wilson

Receptions
LOSS
UNDER 6.5
fanduel -125
Projection 4.6
Proj. gap -1.9
Model win 86.7%
No-vig market 51.9%
No-vig edge +34.8%
Model-implied EV +56.1%
WHY THIS PLAY
Projection 4.6 is 1.9 below the 6.5 line.
Model win probability 86.7% vs 51.9% no-vig market probability creates a +34.8% edge.
Qualified with 2154 residual samples, 86.7% model win, +34.8% no-vig edge, and +56.1% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 7 receptions
#2 MODEL PLAY

Garrett Wilson

Receiving yards
LOSS
UNDER 68.5
fanduel -114
Projection 47.2
Proj. gap -21.3
Model win 84.1%
No-vig market 50.0%
No-vig edge +34.1%
Model-implied EV +57.8%
WHY THIS PLAY
Projection 47.2 is 21.3 below the 68.5 line.
Model win probability 84.1% vs 50.0% no-vig market probability creates a +34.1% edge.
Qualified with 2154 residual samples, 84.1% model win, +34.1% no-vig edge, and +57.8% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 104 receiving yards
#3 MODEL PLAY

Isaiah Davis

Rushing yards
LOSS
OVER 10.5
fanduel -114
Projection 38.6
Proj. gap +28.1
Model win 73.6%
No-vig market 50.0%
No-vig edge +23.6%
Model-implied EV +38.2%
WHY THIS PLAY
Projection 38.6 is 28.1 above the 10.5 line.
Model win probability 73.6% vs 50.0% no-vig market probability creates a +23.6% edge.
Qualified with 796 residual samples, 73.6% model win, +23.6% no-vig edge, and +38.2% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 796
Final: 8 rushing yards
#4 MODEL PLAY

Quinshon Judkins

Rushing yards
WIN
UNDER 59.5
fanduel -114
Projection 55.3
Proj. gap -4.2
Model win 67.5%
No-vig market 50.0%
No-vig edge +17.5%
Model-implied EV +26.6%
WHY THIS PLAY
Projection 55.3 is 4.2 below the 59.5 line.
Model win probability 67.5% vs 50.0% no-vig market probability creates a +17.5% edge.
Qualified with 796 residual samples, 67.5% model win, +17.5% no-vig edge, and +26.6% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 796
Final: 44 rushing yards
#5 MODEL PLAY

Geno Smith

Passing yards
WIN
UNDER 206.5
fanduel -114
Projection 178.9
Proj. gap -27.6
Model win 63.4%
No-vig market 50.0%
No-vig edge +13.4%
Model-implied EV +19.0%
WHY THIS PLAY
Projection 178.9 is 27.6 below the 206.5 line.
Model win probability 63.4% vs 50.0% no-vig market probability creates a +13.4% edge.
Qualified with 516 residual samples, 63.4% model win, +13.4% no-vig edge, and +19.0% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 182 passing yards
#6 MODEL PLAY

Harold Fannin Jr.

Receiving yards
LOSS
OVER 35.5
fanduel -114
Projection 53.0
Proj. gap +17.5
Model win 59.2%
No-vig market 50.0%
No-vig edge +9.2%
Model-implied EV +11.2%
WHY THIS PLAY
Projection 53.0 is 17.5 above the 35.5 line.
Model win probability 59.2% vs 50.0% no-vig market probability creates a +9.2% edge.
Qualified with 2154 residual samples, 59.2% model win, +9.2% no-vig edge, and +11.2% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 4 receiving yards
MODELED - DID NOT QUALIFY

Other lines PDR reviewed

Context only. These are not published recommendations and are not graded.

MODELED - DID NOT QUALIFY

Geno Smith

Passing TDs
Did not qualify
Model side: UNDER 1.5
fanduel -200
Projection1.3
Proj. gap-0.2
Model win57.8%
No-vig market62.3%
No-vig edge-4.6%
Model-implied EV-13.4%
Why it did not qualify: No-vig market edge did not clear the publication floor.
Historical residual sample: 516
MODELED - DID NOT QUALIFY

Harold Fannin Jr.

Receptions
Did not qualify
Model side: OVER 4.5
fanduel +118
Projection4.7
Proj. gap+0.2
Model win39.1%
No-vig market42.8%
No-vig edge-3.7%
Model-implied EV-14.8%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 2154