Skip to main content
EducationalNot betting advice · research use only.
GameTime Picks

← NFL hub

Regular season · week 1 · Sunday, Sep 13, 1:00 PM ET · started

Chicago BearsatCarolina PanthersEXPERIMENTAL

Bank of America Stadium

Chicago BearsCarolina PanthersSaved on this device
Research matchup

Archived pregame read · published before kickoff. Everything below is the forecast revision the graded record names, read from its committed file and not regenerated. The final was CHI 5937 CAR, from the Week 1 record.

Simulation story

5 chapters · the forecast as it stood before the start
Loading the matchup modelReading the outcome distribution from 10,000 simulated gamesPreparing the score scenariosPress Play to step through what the model expects, chapter by chapter, or read the report below.

CHI @ CAR

Chicago Bears at Carolina Panthers, 2026-09-13. This game has been played — what follows is the forecast as it was frozen BEFORE kickoff, not a current read.

model nfl-regular-season-public-v110,000 simulated gamesproduced Sep 17, 10:17 AM ET
Simulation

What our model expects

10,000 simulated games · model nfl-regular-season-public-v1

Projected score

CHI 23 — 24 CAR

the middle of our simulated outcomes, not a call on the exact final

Win chance

CHI 49.3% · CAR 47.9%

how often each side won in 10,000 simulations · ties 2.8%

Total points (both teams)

47

8 in 10 simulations landed between 31 and 64

CAR winning margin

0

a minus means CHI wins by that much · 8 in 10 between -18 and 17

Model details

From the replay-validated Elo-logistic head, published exactly as evaluated on a held-out 2025 season — no shrink toward 50% is applied, and no claim to beat the market is made. Generated 2026-09-13T13:48:01Z under model nfl-regular-season-public-v1 and frozen pre-kickoff; every forecast is settled against the official result.

Projected scorecard

expected statistical summaries · not one simulated game
CHI 23 24 CARwin chance CHI 49.3% · CAR 47.9%total 47 (3164)margin 0

CHI

Likely TD scorers

D'Andre Swift 28.2%

Jahdae Walker 26.7%

Colston Loveland 20.6%

Passing

Caleb Williams 166 pass yds (60282) · available role uncertain

Rushing leaders

D'Andre Swift 40 rush yds (1183)

Kyle Monangai 26 rush yds (562)

Receiving leaders

Colston Loveland 4 rec · 40 yds

Rome Odunze 3 rec · 29 yds · questionable

Luther Burden III 2 rec · 26 yds

CAR

Likely TD scorers

Jalen Coker 26.7%

Tetairoa McMillan 25.9%

Bryce Young 24.8%

Passing

Bryce Young 161 pass yds (54274)

Rushing leaders

Chuba Hubbard 24 rush yds (460)

Bryce Young 10 rush yds (036)

New arrivals · not in these numbers

Per game at their previous club — history, not a projection.

John Metchie III 3.2 rec · 28.4 yds/g at NYJ

Darren Waller 3 rec · 35.4 yds/g at MIA

Receiving leaders

Jalen Coker 3 rec · 33 yds

Tetairoa McMillan 3 rec · 39 yds

Xavier Legette 2 rec · 15 yds

pass interceptions · First/last/2+ touchdown — withheld, with the exact bar each failed
  • pass interceptions: RESEARCH_ONLY
  • First/last/2+ touchdown: DISABLED — no ordering model and no calibration receipt of their own; never derived from anytime probabilities
Range

How wide the outcomes are

the 10th to 90th percentile of each team's simulated score

TeamLow (10th)ProjectedHigh (90th)
Chicago Bears122336
Carolina Panthers112436
Comparison

Us versus the sportsbooks

two independent reads, shown side by side

Our win chance

47.9%

CAR to win

Sportsbook win chance

39.8%

CAR to win, read from 8 sportsbooks' odds with their built-in margin removed

Difference

+8.2 pp

ours minus the sportsbooks', in percentage points — not a recommendation

Total points: ours vs sportsbooks

47 vs 47

our projected total against the sportsbooks' over/under line

The sportsbook numbers are the books' own, shown for context. A difference is a difference — this model has not been shown to beat the market.

Prices captured 2026-09-13T13:48:01Z — before kickoff.

Player projections · 16 modelled

The player board

Every modelled player, with his availability. Players listed out carry no volume projection.

Every receiving family for one player on one row, ranked by expected receptions.

PlayerTeamAvailabilityReceptions (10th–90th)Rec yards (10th–90th)TD chance
Colston LovelandCHIprojected active4 (17)40 (890)20.6%
Jalen CokerCARprojected active3 (16)33 (581)26.7%
Tetairoa McMillanCARprojected active3 (17)39 (788)25.9%
Rome OdunzeCHIquestionable3 (16)29 (276)13.3%
Xavier LegetteCARprojected active2 (04)15 (051)11.0%
Luther Burden IIICHIprojected active2 (15)26 (070)8.0%
Chuba HubbardCARprojected active1 (03)10 (041)23.8%
Cole KmetCHIprojected active1 (03)10 (041)17.3%
Ja'Tavion SandersCARprojected active1 (04)11 (042)16.0%
Tommy TrembleCARprojected active1 (03)11 (043)15.2%
Kyle MonangaiCHIprojected active1 (03)7 (036)14.5%
Mitchell EvansCARprojected active1 (03)6 (036)7.8%

New arrivals · not in the simulated numbers above

Per game at their previous team — history, not a projection.

PlayerTeamAvailabilityLast clubPer game (prior club)
John Metchie III WRCARactive uncertainNYJ · 9g3.2 rec · 28.4 yds
Darren Waller TECARactive uncertainMIA · 8g3 rec · 35.4 yds
Families not shown, and the exact bar each failed (2)
  • pass interceptions: RESEARCH_ONLY
  • First/last/2+ touchdown: DISABLED — no ordering model and no calibration receipt of their own; never derived from anytime probabilities

Scoring outlooktop 6 of 15 by TD chance · full list in the board’s TD tab

  • 28.2% D'Andre Swift · CHI
  • 26.7% Jalen Coker · CAR
  • 26.7% Jahdae Walker · CHI
  • 25.9% Tetairoa McMillan · CAR
  • 24.8% Bryce Young · CAR
  • 23.8% Chuba Hubbard · CAR

Anytime-scorer probability means scoring a touchdown — never throwing one. Void if the player does not play; questionable players carry their state above.

Reading key

What these numbers mean

Projected score
The middle outcome across every simulated game — not a prediction of the exact final.
Win chance
How often each side won across the simulations, after the calibration described above.
80% range
Eight in ten simulated games landed inside this band. Real games land outside it too.
pp (percentage points)
The plain difference between two percentages. A gap is a difference, not an advantage.
Experimental
Published while its out-of-sample record is still accumulating. Every forecast is frozen before kickoff and graded against the official result.
Provenance

Where this came from

model
nfl-regular-season-public-v1 v1
simulations
10,000
input hash
7087e0ea41c83e40
generated
2026-09-13T13:48:01Z
kickoff
2026-09-13T17:00Z
state
SETTLED
Player-family model provenance (3 published)
  • Receiving yards: props-v1 evaluation: n=3575, all promotion bars pass
  • Receptions: props-v1 evaluation: n=3575, all promotion bars pass
  • Anytime touchdown: anytime-td-v1 calibration: held-out 2025 n=3965, beats both baselines; DNP settles void, so probabilities condition on playing

Our win chances come from a team rating that weights how decisively teams win. Tested on 4,281 past games it had never seen (2006–2021), it scored 0.629 on log loss (lower is better) — better than our previous rating's 0.642 and a coin flip's 0.693, but short of the sportsbooks' own odds at 0.610. It has NOT been shown to beat the sportsbook market. Where our win and margin ratings disagree on the favourite, the previous rating is used for that game. The 2026 season evaluation still runs under bars frozen in August, so every forecast stays experimental.

Educational and paper-only — not betting advice.

More

Other games with a simulation