Buffalo Bills at Los Angeles Rams

Monday Night · Mon, Oct 12, 8:15 PM ETBUF @ LA
Buffalo Bills

Away

Buffalo Bills

3-1

Los Angeles Rams

Home

Los Angeles Rams

2-2

Model Win Probability

Buffalo Bills · Away

46%

Model
separation
8%

Los Angeles Rams · Home

54%

Signal: Unrated· components disagree · 100% feature coverage
Elo component
52% BUF
Efficiency component
34% BUF
Feature coverage
100%
Data cutoff
2026-10-08T00:11:51.561047Z
Model
pt-nfl-ensemble-v0.3

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

Team Efficiency Comparison

100
84
Offense
90
71
Passing
97
81
Rushing
39
90
Defense
55
52
Pass Rush
90
71
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

BUFMetricLA
0.156EPA / Play0.095
48.2%Success Rate50.3%
0.233Dropback EPA0.167
0.028Rush EPA-0.029
15.6%Explosive Play Rate14.4%
49.9%3rd Down Conversion43.6%
68.1%Red Zone TD Rate62.0%
0.030Def. EPA / Play Allowed-0.080

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
SoFi Stadium
Kickoff
Mon, Oct 12, 8:15 PM ET
Roof
dome
Surface
matrixturf
Away rest
8 days
Home rest
8 days
Site
Los Angeles Rams home game

Player Impact

Josh Allen

QB

2026 Weeks 1, 2, 3, 4

CMP/ATT
79/119
Pass yds
1039
Pass TD
6
INT
3
Y/A
8.7
Sacks
9

James Cook

RB

2026 Weeks 1, 2, 3, 4

Carries
70
Rush yds
421
YPC
6
Rush TD
3
Targets
10
Rec
6
Rush share
63.6%

Ray Davis

RB

2026 Weeks 1, 2, 4

Carries
2
Rush yds
6
YPC
3
Rush TD
0
Targets
1
Rec
1
Rush share
1.8%

Khalil Shakir

WR

2026 Weeks 1, 2, 3, 4

Targets
23
Rec
15
Rec yds
176
YPR
11.7
Rec TD
0
Target share
20.5%

DJ Moore

WR

2026 Weeks 1, 2, 3, 4

Targets
20
Rec
12
Rec yds
178
YPR
14.8
Rec TD
1
Target share
17.9%

Scoring by Quarter

Sample · 4 games

Away · Buffalo Bills

Q1
17
Q2
61
Q3
10
Q4
39

Home · Los Angeles Rams

Q1
23
Q2
24
Q3
7
Q4
31

Latest News

Analytical Angles

Passing profile · BUF

passing

Buffalo Bills ranks in the 90th league percentile entering Week 5 based on blended 2025–26 play data.

Defense profile · BUF

efficiency

Buffalo Bills ranks in the 39th league percentile entering Week 5 based on blended 2025–26 play data.

Passing profile · LA

passing

Los Angeles Rams ranks in the 71th league percentile entering Week 5 based on blended 2025–26 play data.

Defense profile · LA

efficiency

Los Angeles Rams ranks in the 90th league percentile entering Week 5 based on blended 2025–26 play data.

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

Keys to the Game

  • Margin-aware Elo: Buffalo Bills 52.4%.
  • Rolling efficiency: Buffalo Bills 34.3%.
  • The blended, calibrated estimate favors Los Angeles Rams at 54%; a single game remains uncertain.

What Could Flip It

  • The statistical sample includes 4 current-season games for Buffalo Bills and 4 for Los Angeles Rams; prior-season form is blended in.
  • The components disagree on the winner.
  • Thursday's official statuses are final; later-week injury entries are Wednesday practices and may change.

Model Analysis

Buffalo Bills at Los Angeles Rams: the v0.3 ensemble places Los Angeles Rams at 54%, using a 70% margin-aware Elo and 30% rolling-efficiency blend with the saved strictly out-of-fold calibration. The statistical sample includes 4 current-season games for Buffalo Bills and 4 for Los Angeles Rams; prior-season form is blended in. No odds, spreads, moneylines, consensus, or public picks are inputs.

Forecast

Model pick: Los Angeles Rams (54%). Signal: Unrated; 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.