WEEK 2 · Sun, Sep 20, 12:00 PM CDT

Philadelphia Eagles @ Tennessee Titans

10 qualified model plays · 1 modeled line did not qualify · 4-6-0
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MODEL OVERVIEW

What the board is seeing

Qualified plays 10 Published sides that cleared the current model thresholds.
Avg model win 68.0% Average estimated win probability across this game's qualified plays.
Avg no-vig edge +17.9% Model probability minus the market's no-vig implied probability.
Avg model-implied EV +27.7% 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

Wan'Dale Robinson

Receiving yards
LOSS
OVER 37.5
fanduel -114
Projection 70.2
Proj. gap +32.7
Model win 81.4%
No-vig market 50.0%
No-vig edge +31.4%
Model-implied EV +52.9%
WHY THIS PLAY
Projection 70.2 is 32.7 above the 37.5 line.
Model win probability 81.4% vs 50.0% no-vig market probability creates a +31.4% edge.
Qualified with 2154 residual samples, 81.4% model win, +31.4% no-vig edge, and +52.9% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 9 receiving yards
#2 MODEL PLAY

Tony Pollard

Rushing yards
WIN
OVER 44.5
fanduel -114
Projection 76.9
Proj. gap +32.4
Model win 78.8%
No-vig market 50.0%
No-vig edge +28.8%
Model-implied EV +47.9%
WHY THIS PLAY
Projection 76.9 is 32.4 above the 44.5 line.
Model win probability 78.8% vs 50.0% no-vig market probability creates a +28.8% edge.
Qualified with 796 residual samples, 78.8% model win, +28.8% no-vig edge, and +47.9% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 796
Final: 64 rushing yards
#3 MODEL PLAY

DeVonta Smith

Receiving yards
LOSS
UNDER 60.5
fanduel -114
Projection 55.4
Proj. gap -5.1
Model win 71.4%
No-vig market 50.0%
No-vig edge +21.4%
Model-implied EV +33.9%
WHY THIS PLAY
Projection 55.4 is 5.1 below the 60.5 line.
Model win probability 71.4% vs 50.0% no-vig market probability creates a +21.4% edge.
Qualified with 2154 residual samples, 71.4% model win, +21.4% no-vig edge, and +33.9% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 117 receiving yards
#4 MODEL PLAY

Cam Ward

Passing TDs
LOSS
OVER 0.5
fanduel -192
Projection 1.3
Proj. gap +0.8
Model win 70.2%
No-vig market 61.2%
No-vig edge +8.9%
Model-implied EV +6.7%
WHY THIS PLAY
Projection 1.3 is 0.8 above the 0.5 line.
Model win probability 70.2% vs 61.2% no-vig market probability creates a +8.9% edge.
Qualified with 516 residual samples, 70.2% model win, +8.9% no-vig edge, and +6.7% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 0 passing TDs
#5 MODEL PLAY

DeVonta Smith

Receptions
LOSS
UNDER 4.5
fanduel +102
Projection 4.1
Proj. gap -0.4
Model win 69.8%
No-vig market 46.2%
No-vig edge +23.6%
Model-implied EV +41.0%
WHY THIS PLAY
Projection 4.1 is 0.4 below the 4.5 line.
Model win probability 69.8% vs 46.2% no-vig market probability creates a +23.6% edge.
Qualified with 2154 residual samples, 69.8% model win, +23.6% no-vig edge, and +41.0% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 10 receptions
#6 MODEL PLAY

Jalen Hurts

Rushing yards
WIN
UNDER 29.5
fanduel -114
Projection 26.4
Proj. gap -3.1
Model win 66.1%
No-vig market 50.0%
No-vig edge +16.1%
Model-implied EV +24.0%
WHY THIS PLAY
Projection 26.4 is 3.1 below the 29.5 line.
Model win probability 66.1% vs 50.0% no-vig market probability creates a +16.1% edge.
Qualified with 796 residual samples, 66.1% model win, +16.1% no-vig edge, and +24.0% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 796
Final: 16 rushing yards
#7 MODEL PLAY

Saquon Barkley

Rushing yards
WIN
UNDER 79.5
fanduel -114
Projection 77.6
Proj. gap -1.9
Model win 64.9%
No-vig market 50.0%
No-vig edge +14.9%
Model-implied EV +21.9%
WHY THIS PLAY
Projection 77.6 is 1.9 below the 79.5 line.
Model win probability 64.9% vs 50.0% no-vig market probability creates a +14.9% edge.
Qualified with 796 residual samples, 64.9% model win, +14.9% no-vig edge, and +21.9% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 796
Final: 9 rushing yards
#8 MODEL PLAY

Wan'Dale Robinson

Receptions
LOSS
OVER 4.5
fanduel +112
Projection 5.9
Proj. gap +1.4
Model win 60.9%
No-vig market 44.1%
No-vig edge +16.8%
Model-implied EV +29.1%
WHY THIS PLAY
Projection 5.9 is 1.4 above the 4.5 line.
Model win probability 60.9% vs 44.1% no-vig market probability creates a +16.8% edge.
Qualified with 2154 residual samples, 60.9% model win, +16.8% no-vig edge, and +29.1% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 1 reception
#9 MODEL PLAY

Cam Ward

Passing yards
WIN
UNDER 188.5
fanduel -114
Projection 172.0
Proj. gap -16.5
Model win 59.1%
No-vig market 50.0%
No-vig edge +9.1%
Model-implied EV +11.0%
WHY THIS PLAY
Projection 172.0 is 16.5 below the 188.5 line.
Model win probability 59.1% vs 50.0% no-vig market probability creates a +9.1% edge.
Qualified with 516 residual samples, 59.1% model win, +9.1% no-vig edge, and +11.0% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 183 passing yards
#10 MODEL PLAY

Jalen Hurts

Passing yards
LOSS
UNDER 206.5
fanduel -114
Projection 193.9
Proj. gap -12.6
Model win 57.6%
No-vig market 50.0%
No-vig edge +7.6%
Model-implied EV +8.0%
WHY THIS PLAY
Projection 193.9 is 12.6 below the 206.5 line.
Model win probability 57.6% vs 50.0% no-vig market probability creates a +7.6% edge.
Qualified with 516 residual samples, 57.6% model win, +7.6% no-vig edge, and +8.0% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 264 passing yards
MODELED - DID NOT QUALIFY

Other lines PDR reviewed

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

MODELED - DID NOT QUALIFY

Jalen Hurts

Passing TDs
Did not qualify
Model side: OVER 1.5
fanduel +140
Projection1.6
Proj. gap+0.1
Model win51.9%
No-vig market39.0%
No-vig edge+13.0%
Model-implied EV+24.7%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 516