WEEK 2 · Sun, Sep 20, 12:00 PM CDT

Pittsburgh Steelers @ New England Patriots

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

What the board is seeing

Qualified plays 2 Published sides that cleared the current model thresholds.
Avg model win 64.8% Average estimated win probability across this game's qualified plays.
Avg no-vig edge +18.2% Model probability minus the market's no-vig implied probability.
Avg model-implied EV +30.9% 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

Drake Maye

Passing TDs
LOSS
OVER 1.5
fanduel +116
Projection 2.1
Proj. gap +0.6
Model win 64.9%
No-vig market 43.3%
No-vig edge +21.6%
Model-implied EV +40.2%
WHY THIS PLAY
Projection 2.1 is 0.6 above the 1.5 line.
Model win probability 64.9% vs 43.3% no-vig market probability creates a +21.6% edge.
Qualified with 516 residual samples, 64.9% model win, +21.6% no-vig edge, and +40.2% 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
#2 MODEL PLAY

Drake Maye

Passing yards
LOSS
OVER 224.5
fanduel -114
Projection 260.5
Proj. gap +36.0
Model win 64.7%
No-vig market 50.0%
No-vig edge +14.7%
Model-implied EV +21.5%
WHY THIS PLAY
Projection 260.5 is 36.0 above the 224.5 line.
Model win probability 64.7% vs 50.0% no-vig market probability creates a +14.7% edge.
Qualified with 516 residual samples, 64.7% model win, +14.7% no-vig edge, and +21.5% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 208 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

Aaron Rodgers

Passing TDs
Did not qualify
Model side: OVER 0.5
fanduel -245
Projection1.1
Proj. gap+0.6
Model win64.9%
No-vig market66.4%
No-vig edge-1.5%
Model-implied EV-8.6%
Why it did not qualify: No-vig market edge did not clear the publication floor.
Historical residual sample: 516
MODELED - DID NOT QUALIFY

Aaron Rodgers

Passing yards
Did not qualify
Model side: UNDER 206.5
fanduel -114
Projection200.8
Proj. gap-5.7
Model win54.1%
No-vig market50.0%
No-vig edge+4.1%
Model-implied EV+1.5%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 516