
Away
Chicago Bears
5-2

Home
Seattle Seahawks
4-3
Model Win Probability
Chicago Bears · Away
37%
separation26%
Seattle Seahawks · Home
63%
- Elo component
- 30% CHI
- Efficiency component
- 50% CHI
- Feature coverage
- 100%
- Data cutoff
- 2026-10-27T22:01:46.103638Z
- Model
- pt-nfl-ensemble-v0.3
Signal strength describes model agreement and data quality, not certainty or wagering value.
Team Efficiency Comparison
0–100 league percentile across all 32 teams. Defensive ratings are inverted so a higher number always means a better unit.
Blended Team Metrics
| CHI | Metric | SEA |
|---|---|---|
| 0.062 | EPA / Play | 0.009 |
| 46.1% | Success Rate | 44.8% |
| 0.144 | Dropback EPA | 0.162 |
| -0.046 | Rush EPA | -0.160 |
| 12.8% | Explosive Play Rate | 13.2% |
| 44.1% | 3rd Down Conversion | 40.4% |
| 58.5% | Red Zone TD Rate | 53.6% |
| 0.000 | Def. EPA / Play Allowed | -0.129 |
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
- Lumen Field
- Kickoff
- Mon, Nov 2, 8:15 PM ET
- Roof
- outdoors
- Surface
- fieldturf
- Away rest
- 11 days
- Home rest
- 8 days
- Site
- Seattle Seahawks home game
Player Impact
Caleb Williams
QB2026 Weeks 1–7; 4 games
- CMP/ATT
- 88/124
- Pass yds
- 1020
- Pass TD
- 5
- INT
- 1
- Y/A
- 8.2
- Sacks
- 12
D'Andre Swift
RB2026 Weeks 1–7; 7 games
- Carries
- 116
- Rush yds
- 476
- YPC
- 4.1
- Rush TD
- 7
- Targets
- 25
- Rec
- 22
Kyle Monangai
RB2026 Weeks 1–7; 4 games; last played Week 4
- Carries
- 60
- Rush yds
- 324
- YPC
- 5.4
- Rush TD
- 3
- Targets
- 5
- Rec
- 5
Luther Burden III
WR2026 Weeks 1–7; 7 games
- Targets
- 47
- Rec
- 35
- Rec yds
- 491
- YPR
- 14
- Rec TD
- 2
Rome Odunze
WR2026 Weeks 1–7; 7 games
- Targets
- 38
- Rec
- 24
- Rec yds
- 381
- YPR
- 15.9
- Rec TD
- 0
Away · Chicago Bears
Caleb Williams
QB2026 Weeks 1–7; 4 games
- CMP/ATT
- 88/124
- Pass yds
- 1020
- Pass TD
- 5
- INT
- 1
- Y/A
- 8.2
- Sacks
- 12
D'Andre Swift
RB2026 Weeks 1–7; 7 games
- Carries
- 116
- Rush yds
- 476
- YPC
- 4.1
- Rush TD
- 7
- Targets
- 25
- Rec
- 22
Kyle Monangai
RB2026 Weeks 1–7; 4 games; last played Week 4
- Carries
- 60
- Rush yds
- 324
- YPC
- 5.4
- Rush TD
- 3
- Targets
- 5
- Rec
- 5
Luther Burden III
WR2026 Weeks 1–7; 7 games
- Targets
- 47
- Rec
- 35
- Rec yds
- 491
- YPR
- 14
- Rec TD
- 2
Rome Odunze
WR2026 Weeks 1–7; 7 games
- Targets
- 38
- Rec
- 24
- Rec yds
- 381
- YPR
- 15.9
- Rec TD
- 0
Home · Seattle Seahawks
Sam Darnold
QB2026 Weeks 1–7; 6 games
- CMP/ATT
- 110/177
- Pass yds
- 1290
- Pass TD
- 8
- INT
- 8
- Y/A
- 7.3
- Sacks
- 14
Emanuel Wilson
RB2026 Weeks 1–7; 7 games
- Carries
- 111
- Rush yds
- 403
- YPC
- 3.6
- Rush TD
- 3
- Targets
- 9
- Rec
- 6
George Holani
RB2026 Weeks 1–7; 7 games
- Carries
- 36
- Rush yds
- 108
- YPC
- 3
- Rush TD
- 1
- Targets
- 14
- Rec
- 12
Jaxon Smith-Njigba
WR2026 Weeks 1–7; 7 games
- Targets
- 78
- Rec
- 58
- Rec yds
- 867
- YPR
- 14.9
- Rec TD
- 8
Rashid Shaheed
WR2026 Weeks 1–7; 7 games
- Targets
- 30
- Rec
- 16
- Rec yds
- 163
- YPR
- 10.2
- Rec TD
- 0
Injuries & Availability
Home · Seattle Seahawks
Quenton NelsonG
AcquiredAcquired from Colts October 27
Checked Tue, Oct 27, 2026; final game designation pending unless IR/suspended/traded.
Rashid ShaheedWR
InjuredKnee; early reports positive, later status pending
Checked Tue, Oct 27, 2026; final game designation pending unless IR/suspended/traded.
Scoring by Quarter
Sample · 7 gamesAway · Chicago Bears
Home · Seattle Seahawks
Latest News
- Las Vegas Raiders-Seattle Seahawks FEED Topic: Monitoring Fernando Mendoza’s 1st start
Yahoo Sports NFL · 1h ago · LV / SEA
- Raiders Week 10: Seahawks’ Jaxon Smith-Njigba a supreme challenge
Yahoo Sports NFL · 2h ago · LV / SEA
- Seahawks-Raiders injury designations: Uchenna Nwosu returns, as well as Rashid Shaheed
Yahoo Sports NFL · 2h ago · LV / SEA
- NFC North real or not: Bears a solid favorite? Cousins puts Vikings in command?
ESPN NFL · 6h ago · CHI / MIN
- Chicago Bears Stat Tracker Week 7: Stacking Wins
Yahoo Sports NFL · 16d ago · CHI
Analytical Angles
Passing profile · CHI
passingChicago Bears: 72/100 league percentile in blended 2025–26 passing EPA entering Week 8.
Passing profile · SEA
passingSeattle Seahawks: 75/100 league percentile in blended 2025–26 passing EPA entering Week 8.
Defensive profile · CHI / SEA
efficiencyDefense EPA percentiles: Chicago Bears 59/100; Seattle Seahawks 97/100. Lower EPA allowed rates are better.
Availability watch
availabilityAvailability checked Tuesday, October 27. 2 named items in game notes; final designations may change. The forecast applies no separate injury, trade or lineup adjustment.
Statistical context only. Picks Terminal publishes matchup analysis, not wagering advice.
Keys to the Game
- Margin-aware Elo: Chicago Bears 30.4%.
- Rolling efficiency: Chicago Bears 50.4%.
- defense: Seattle Seahawks 97/100, Chicago Bears 59/100.
- passRush: Chicago Bears 75/100, Seattle Seahawks 62/100.
What Could Flip It
- offense: Chicago Bears 75/100 versus Seattle Seahawks 50/100.
- passing: Chicago Bears 72/100 versus Seattle Seahawks 75/100.
- Chicago Bears have 7 completed 2026 games; Seattle Seahawks have 7. Prior-season form is blended into efficiency.
- Final game status and starting lineups remain subject to change. No separate injury or trade adjustment is applied to the forecast.
Model Analysis
Chicago Bears at Seattle Seahawks: the v0.3 ensemble places Seattle Seahawks at 63%, using a 70% margin-aware Elo and 30% rolling-efficiency blend with strictly out-of-fold calibration. Both sides have 7 and 7 completed current-season games, respectively, with 2025 prior form. This model does not adjust separately for injuries, trades or lineup changes. The forecast is a pregame statistical estimate, not certainty or a wagering recommendation.
Forecast
Model pick: Seattle Seahawks (63%). Signal: Unrated; model agreement and data quality, 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.