Denver Broncos at San Francisco 49ers

Sunday Late · Sun, Oct 4, 4:25 PM ETDEN @ SF
Denver Broncos

Away

Denver Broncos

2-1

San Francisco 49ers

Home

San Francisco 49ers

3-0

Model Win Probability

Denver Broncos · Away

45%

Model
separation
10%

San Francisco 49ers · Home

55%

Signal: Lean· components agree · 100% feature coverage
Elo component
47% DEN
Efficiency component
40% DEN
Feature coverage
100%
Data cutoff
2026-09-29T03:18:28.737160Z
Model
pt-nfl-ensemble-v0.3

Signal strength describes model agreement and data quality, not certainty or wagering value.

Team Efficiency Comparison

42
94
Offense
45
100
Passing
45
58
Rushing
74
35
Defense
100
3
Pass Rush
64
100
Situational

0–100 league percentile across all 32 teams. Defensive ratings are inverted so a higher number always means a better unit.

Blended Team Metrics

DENMetricSF
-0.009EPA / Play0.131
42.2%Success Rate49.8%
0.049Dropback EPA0.281
-0.090Rush EPA-0.071
10.9%Explosive Play Rate12.9%
41.8%3rd Down Conversion53.8%
62.0%Red Zone TD Rate75.1%
-0.047Def. EPA / Play Allowed0.039

Prior-season form is blended with current-season play and its weight decays as the current sample grows. Metrics without enough data are shown as “—”, never as zero.

Game Context

Venue
Levi's Stadium
Kickoff
Sun, Oct 4, 4:25 PM ET
Roof
outdoors
Surface
grass
Away rest
7 days
Home rest
7 days
Site
San Francisco 49ers home game

Player Impact

Bo Nix

QB

2026 Weeks 1, 2, 3

CMP/ATT
56/93
Pass yds
605
Pass TD
4
INT
3
Y/A
6.5
Sacks
5

J.K. Dobbins

RB

2026 Weeks 1, 2, 3

Carries
35
Rush yds
121
YPC
3.5
Rush TD
0
Targets
2
Rec
1
Rush share
51.5%

Jonah Coleman

RB

2026 Weeks 1, 2

Carries
10
Rush yds
39
YPC
3.9
Rush TD
1
Targets
3
Rec
3
Rush share
14.7%

Jaylen Waddle

WR

2026 Weeks 1, 2, 3

Targets
20
Rec
11
Rec yds
150
YPR
13.6
Rec TD
0
Target share
23%

Courtland Sutton

WR

2026 Weeks 1, 2, 3

Targets
16
Rec
8
Rec yds
82
YPR
10.2
Rec TD
0
Target share
18.4%

Scoring by Quarter

Sample · 3 games

Away · Denver Broncos

Q1
7
Q2
3
Q3
22
Q4
28

Home · San Francisco 49ers

Q1
17
Q2
24
Q3
34
Q4
23

Small sample — treat quarter splits as descriptive context, not a trend.

Latest News

Analytical Angles

Passing profile · DEN

passing

Denver Broncos ranks in the 45th league percentile in blended dropback EPA entering Week 4.

Defense profile · DEN

efficiency

Denver Broncos ranks in the 74th league percentile in blended defensive EPA allowed; higher percentile means less EPA conceded.

Passing profile · SF

passing

San Francisco 49ers ranks in the 100th league percentile in blended dropback EPA entering Week 4.

Defense profile · SF

efficiency

San Francisco 49ers ranks in the 35th league percentile in blended defensive EPA allowed; higher percentile means less EPA conceded.

Statistical context only. Picks Terminal publishes matchup analysis, not wagering advice.

Keys to the Game

  • Margin-aware Elo favors San Francisco 49ers at 52.7%.
  • Rolling efficiency favors San Francisco 49ers at 60.3%.
  • The calibrated estimate is 55%; it is a probability, not a certainty.

What Could Flip It

  • The statistical sample includes 3 current-season games for Denver Broncos and 3 for San Francisco 49ers; prior-season form is still blended in.
  • The components agree, but a single game still has substantial variance.
  • The first official Week 4 practice/game-status report was unavailable at this cutoff; documented quarterback news is listed separately and is not explicitly priced into this statistical model.

Model Analysis

Denver Broncos at San Francisco 49ers: the v0.3 ensemble places San Francisco 49ers at 55% after a 70% margin-aware Elo and 30% rolling efficiency blend with strictly out-of-fold calibration. The statistical sample includes 3 current-season games for Denver Broncos and 3 for San Francisco 49ers; prior-season form is still blended in. No odds, moneylines, spreads, public picks or market consensus are model inputs.

Forecast

Model pick: San Francisco 49ers (55%). Signal: Lean; model agreement and coverage, not wagering value.

Sources & Methodology

Win probability: pt-nfl-ensemble-v0.3 — a deterministic ensemble of a margin-aware Elo component and a regularized efficiency component built from pregame team differentials (EPA per play, dropback and rush EPA, success rate, explosive rate, sack performance, home field and rest). The blended probability is calibrated on training seasons only and validated by walk-forward backtest against completed results. All inputs come from public play-by-play and schedule data. No external market data of any kind is used anywhere on this page.