WEEK 4 · Sun, Oct 4, 3:25 PM CDT

Denver Broncos @ San Francisco 49ers

11 qualified model plays · 6 modeled lines did not qualify · 6-5-0
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MODEL OVERVIEW

What the board is seeing

Qualified plays 11 Published sides that cleared the current model thresholds.
Avg model win 70.6% Average estimated win probability across this game's qualified plays.
Avg no-vig edge +21.9% Model probability minus the market's no-vig implied probability.
Avg model-implied EV +36.1% 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

Pat Bryant

Receiving yards
WIN
OVER 20.5
fanduel -114
Projection 58.6
Proj. gap +38.1
Model win 87.2%
No-vig market 50.0%
No-vig edge +37.2%
Model-implied EV +63.8%
WHY THIS PLAY
Projection 58.6 is 38.1 above the 20.5 line.
Model win probability 87.2% vs 50.0% no-vig market probability creates a +37.2% edge.
Qualified with 2154 residual samples, 87.2% model win, +37.2% no-vig edge, and +63.8% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 47 receiving yards
#2 MODEL PLAY

Courtland Sutton

Receiving yards
LOSS
OVER 38.5
fanduel -114
Projection 71.9
Proj. gap +33.4
Model win 82.2%
No-vig market 50.0%
No-vig edge +32.2%
Model-implied EV +54.3%
WHY THIS PLAY
Projection 71.9 is 33.4 above the 38.5 line.
Model win probability 82.2% vs 50.0% no-vig market probability creates a +32.2% edge.
Qualified with 2154 residual samples, 82.2% model win, +32.2% no-vig edge, and +54.3% 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
#3 MODEL PLAY

Christian McCaffrey

Receiving yards
WIN
UNDER 38.5
fanduel -114
Projection 28.8
Proj. gap -9.7
Model win 75.2%
No-vig market 50.0%
No-vig edge +25.2%
Model-implied EV +41.1%
WHY THIS PLAY
Projection 28.8 is 9.7 below the 38.5 line.
Model win probability 75.2% vs 50.0% no-vig market probability creates a +25.2% edge.
Qualified with 2154 residual samples, 75.2% model win, +25.2% no-vig edge, and +41.1% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 18 receiving yards
#4 MODEL PLAY

Pat Bryant

Receptions
WIN
OVER 2.5
fanduel +118
Projection 4.5
Proj. gap +2.0
Model win 73.6%
No-vig market 42.8%
No-vig edge +30.8%
Model-implied EV +60.4%
WHY THIS PLAY
Projection 4.5 is 2.0 above the 2.5 line.
Model win probability 73.6% vs 42.8% no-vig market probability creates a +30.8% edge.
Qualified with 2154 residual samples, 73.6% model win, +30.8% no-vig edge, and +60.4% 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
#5 MODEL PLAY

George Kittle

Receiving yards
LOSS
UNDER 64.5
fanduel -114
Projection 58.8
Proj. gap -5.7
Model win 72.1%
No-vig market 50.0%
No-vig edge +22.1%
Model-implied EV +35.3%
WHY THIS PLAY
Projection 58.8 is 5.7 below the 64.5 line.
Model win probability 72.1% vs 50.0% no-vig market probability creates a +22.1% edge.
Qualified with 2154 residual samples, 72.1% model win, +22.1% no-vig edge, and +35.3% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 70 receiving yards
#6 MODEL PLAY

Brock Purdy

Passing TDs
WIN
OVER 1.5
fanduel -102
Projection 2.4
Proj. gap +0.9
Model win 71.3%
No-vig market 47.2%
No-vig edge +24.1%
Model-implied EV +41.2%
WHY THIS PLAY
Projection 2.4 is 0.9 above the 1.5 line.
Model win probability 71.3% vs 47.2% no-vig market probability creates a +24.1% edge.
Qualified with 516 residual samples, 71.3% model win, +24.1% no-vig edge, and +41.2% 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
#7 MODEL PLAY

Jaylen Waddle

Receptions
LOSS
UNDER 4.5
fanduel -138
Projection 4.2
Proj. gap -0.3
Model win 69.4%
No-vig market 54.2%
No-vig edge +15.2%
Model-implied EV +19.6%
WHY THIS PLAY
Projection 4.2 is 0.3 below the 4.5 line.
Model win probability 69.4% vs 54.2% no-vig market probability creates a +15.2% edge.
Qualified with 2154 residual samples, 69.4% model win, +15.2% no-vig edge, and +19.6% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 2154
Final: 5 receptions
#8 MODEL PLAY

Christian McCaffrey

Receptions
WIN
UNDER 4.5
fanduel -108
Projection 4.5
Proj. gap -0.0
Model win 64.3%
No-vig market 48.6%
No-vig edge +15.7%
Model-implied EV +23.8%
WHY THIS PLAY
Projection 4.5 is 0.0 below the 4.5 line.
Model win probability 64.3% vs 48.6% no-vig market probability creates a +15.7% edge.
Qualified with 2154 residual samples, 64.3% model win, +15.7% no-vig edge, and +23.8% 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

Courtland Sutton

Receptions
LOSS
OVER 3.5
fanduel +114
Projection 5.1
Proj. gap +1.6
Model win 64.0%
No-vig market 43.7%
No-vig edge +20.4%
Model-implied EV +37.0%
WHY THIS PLAY
Projection 5.1 is 1.6 above the 3.5 line.
Model win probability 64.0% vs 43.7% no-vig market probability creates a +20.4% edge.
Qualified with 2154 residual samples, 64.0% model win, +20.4% no-vig edge, and +37.0% 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
#10 MODEL PLAY

Bo Nix

Passing yards
LOSS
OVER 221.5
fanduel -114
Projection 247.2
Proj. gap +25.7
Model win 59.1%
No-vig market 50.0%
No-vig edge +9.1%
Model-implied EV +11.0%
WHY THIS PLAY
Projection 247.2 is 25.7 above the 221.5 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: 214 passing yards
#11 MODEL PLAY

Brock Purdy

Passing yards
WIN
UNDER 229.5
fanduel -114
Projection 214.8
Proj. gap -14.7
Model win 58.5%
No-vig market 50.0%
No-vig edge +8.5%
Model-implied EV +9.9%
WHY THIS PLAY
Projection 214.8 is 14.7 below the 229.5 line.
Model win probability 58.5% vs 50.0% no-vig market probability creates a +8.5% edge.
Qualified with 516 residual samples, 58.5% model win, +8.5% no-vig edge, and +9.9% model-implied EV; publication floors are 500 samples, 57.5% win, +5.0% edge, and +5.0% EV.
Historical residual sample: 516
Final: 218 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

Bo Nix

Passing TDs
Did not qualify
Model side: UNDER 1.5
fanduel -154
Projection1.2
Proj. gap-0.3
Model win59.7%
No-vig market56.7%
No-vig edge+3.0%
Model-implied EV-1.6%
Why it did not qualify: No-vig market edge did not clear the publication floor.
Historical residual sample: 516
MODELED - DID NOT QUALIFY

Bo Nix

Rushing yards
Did not qualify
Model side: OVER 19.5
fanduel -114
Projection25.5
Proj. gap+6.0
Model win43.7%
No-vig market50.0%
No-vig edge-6.3%
Model-implied EV-17.9%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 796
MODELED - DID NOT QUALIFY

Christian McCaffrey

Rushing yards
Did not qualify
Model side: OVER 65.5
fanduel -114
Projection69.0
Proj. gap+3.5
Model win41.3%
No-vig market50.0%
No-vig edge-8.7%
Model-implied EV-22.4%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 796
MODELED - DID NOT QUALIFY

George Kittle

Receptions
Did not qualify
Model side: OVER 4.5
fanduel -148
Projection5.3
Proj. gap+0.8
Model win50.0%
No-vig market55.9%
No-vig edge-5.9%
Model-implied EV-16.2%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 2154
MODELED - DID NOT QUALIFY

J.K. Dobbins

Rushing yards
Did not qualify
Model side: OVER 59.5
fanduel -114
Projection72.7
Proj. gap+13.2
Model win53.5%
No-vig market50.0%
No-vig edge+3.5%
Model-implied EV+0.5%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 796
MODELED - DID NOT QUALIFY

Jaylen Waddle

Receiving yards
Did not qualify
Model side: OVER 56.5
fanduel -114
Projection61.3
Proj. gap+4.8
Model win39.7%
No-vig market50.0%
No-vig edge-10.3%
Model-implied EV-25.4%
Why it did not qualify: Model win probability did not clear the publication floor.
Historical residual sample: 2154