WEEK 3 · Sun, Sep 27, 3:05 PM CDT

Arizona Cardinals @ San Francisco 49ers

10 qualified model plays · 2 modeled lines did not qualify · 8-2-0
← Back to Week 3
MODEL OVERVIEW

What the board is seeing

Qualified plays 10 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 +22.5% Model probability minus the market's no-vig implied probability.
Avg model-implied EV +37.9% 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

Michael Wilson

Receiving yards
WIN
OVER 44.5
fanduel -114
Projection 87.7
Proj. gap +43.2
Model win 91.5%
No-vig market 50.0%
No-vig edge +41.5%
Model-implied EV +71.7%
WHY THIS PLAY
Projection 87.7 is 43.2 above the 44.5 line.
Model win probability 91.5% vs 50.0% no-vig market probability creates a +41.5% edge.
Qualified with 2154 residual samples, 91.5% model win, +41.5% no-vig edge, and +71.7% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 89 receiving yards
#2 MODEL PLAY

Marvin Harrison Jr.

Receiving yards
WIN
OVER 30.5
fanduel -114
Projection 62.1
Proj. gap +31.6
Model win 79.9%
No-vig market 50.0%
No-vig edge +29.9%
Model-implied EV +50.0%
WHY THIS PLAY
Projection 62.1 is 31.6 above the 30.5 line.
Model win probability 79.9% vs 50.0% no-vig market probability creates a +29.9% edge.
Qualified with 2154 residual samples, 79.9% model win, +29.9% no-vig edge, and +50.0% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 40 receiving yards
#3 MODEL PLAY

Trey McBride

Receptions
LOSS
UNDER 7.5
fanduel -148
Projection 6.5
Proj. gap -1.0
Model win 77.9%
No-vig market 55.9%
No-vig edge +22.0%
Model-implied EV +30.5%
WHY THIS PLAY
Projection 6.5 is 1.0 below the 7.5 line.
Model win probability 77.9% vs 55.9% no-vig market probability creates a +22.0% edge.
Qualified with 2154 residual samples, 77.9% model win, +22.0% no-vig edge, and +30.5% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 9 receptions
#4 MODEL PLAY

Michael Wilson

Receptions
WIN
OVER 3.5
fanduel -148
Projection 5.6
Proj. gap +2.1
Model win 74.0%
No-vig market 55.9%
No-vig edge +18.1%
Model-implied EV +24.0%
WHY THIS PLAY
Projection 5.6 is 2.1 above the 3.5 line.
Model win probability 74.0% vs 55.9% no-vig market probability creates a +18.1% edge.
Qualified with 2154 residual samples, 74.0% model win, +18.1% 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: 2154
Final: 11 receptions
#5 MODEL PLAY

Christian McCaffrey

Rushing yards
WIN
OVER 55.5
fanduel -114
Projection 83.3
Proj. gap +27.8
Model win 73.2%
No-vig market 50.0%
No-vig edge +23.2%
Model-implied EV +37.5%
WHY THIS PLAY
Projection 83.3 is 27.8 above the 55.5 line.
Model win probability 73.2% vs 50.0% no-vig market probability creates a +23.2% edge.
Qualified with 796 residual samples, 73.2% model win, +23.2% no-vig edge, and +37.5% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 796
Final: 75 rushing yards
#6 MODEL PLAY

Brock Purdy

Passing TDs
WIN
OVER 1.5
fanduel -178
Projection 2.4
Proj. gap +0.9
Model win 70.5%
No-vig market 59.8%
No-vig edge +10.8%
Model-implied EV +10.2%
WHY THIS PLAY
Projection 2.4 is 0.9 above the 1.5 line.
Model win probability 70.5% vs 59.8% no-vig market probability creates a +10.8% edge.
Qualified with 516 residual samples, 70.5% model win, +10.8% no-vig edge, and +10.2% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 4 passing TDs
#7 MODEL PLAY

Trey McBride

Receiving yards
LOSS
UNDER 67.5
fanduel -114
Projection 64.2
Proj. gap -3.3
Model win 69.9%
No-vig market 50.0%
No-vig edge +19.9%
Model-implied EV +31.2%
WHY THIS PLAY
Projection 64.2 is 3.3 below the 67.5 line.
Model win probability 69.9% vs 50.0% no-vig market probability creates a +19.9% edge.
Qualified with 2154 residual samples, 69.9% model win, +19.9% no-vig edge, and +31.2% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 75 receiving yards
#8 MODEL PLAY

Marvin Harrison Jr.

Receptions
WIN
OVER 2.5
fanduel +116
Projection 4.3
Proj. gap +1.8
Model win 68.2%
No-vig market 43.3%
No-vig edge +24.9%
Model-implied EV +47.2%
WHY THIS PLAY
Projection 4.3 is 1.8 above the 2.5 line.
Model win probability 68.2% vs 43.3% no-vig market probability creates a +24.9% edge.
Qualified with 2154 residual samples, 68.2% model win, +24.9% no-vig edge, and +47.2% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 3 receptions
#9 MODEL PLAY

Jacoby Brissett

Passing TDs
WIN
OVER 1.5
fanduel +178
Projection 1.9
Proj. gap +0.4
Model win 59.5%
No-vig market 33.6%
No-vig edge +25.9%
Model-implied EV +65.4%
WHY THIS PLAY
Projection 1.9 is 0.4 above the 1.5 line.
Model win probability 59.5% vs 33.6% no-vig market probability creates a +25.9% edge.
Qualified with 516 residual samples, 59.5% model win, +25.9% no-vig edge, and +65.4% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 2 passing TDs
#10 MODEL PLAY

Jacoby Brissett

Passing yards
WIN
OVER 225.5
fanduel -114
Projection 252.1
Proj. gap +26.6
Model win 59.1%
No-vig market 50.0%
No-vig edge +9.1%
Model-implied EV +11.0%
WHY THIS PLAY
Projection 252.1 is 26.6 above the 225.5 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: 280 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

Brock Purdy

Passing yards
Did not qualify
Model side: OVER 237.5
fanduel -114
Projection239.1
Proj. gap+1.6
Model win50.0%
No-vig market50.0%
No-vig edge+0.0%
Model-implied EV-6.1%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 516
MODELED - DID NOT QUALIFY

Tyler Allgeier

Rushing yards
Did not qualify
Model side: OVER 33.5
fanduel -114
Projection42.1
Proj. gap+8.6
Model win46.7%
No-vig market50.0%
No-vig edge-3.3%
Model-implied EV-12.3%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 796