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

Chicago Bears at Carolina Panthers

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 59 – 37 CAR, from the Week 1 record.

What happened · official box score

Final: CHI 59 – 37 CAR

The played game's official lines, recorded Sep 14, 2026, the same lines the forecasts on this page were graded against. Under each actual is the Official Forecast published before kickoff, with its 80% range.

Chicago Bears · 59

PlayerPass ydsRush ydsRecRec ydsTD
Caleb Williams269Forecast 166 (60–282) · in range65Forecast 7 (0–34) · outside range00Yes
D'Andre Swift0124Forecast 40 (11–83) · outside range110YesForecast 28.2%
Kyle Monangai0100Forecast 26 (5–62) · outside range2Forecast 1 (0–3) · in range24Forecast 7 (0–36) · in rangeYesForecast 14.5%
Kalif Raymond00884No
Luther Burden III025Forecast 2 (1–5) · in range63Forecast 26 (0–70) · in rangeNoForecast 8.0%
Rome Odunze002Forecast 3 (1–6) · in range52Forecast 29 (2–76) · in rangeNoForecast 13.3%
Cole Kmet002Forecast 1 (0–3) · in range35Forecast 10 (0–41) · in rangeYesForecast 17.3%
Jahdae Walker0011YesForecast 26.7%
Colston Loveland000Forecast 4 (1–7) · outside range0Forecast 40 (8–90) · outside rangeNoForecast 20.6%
Player lines added up26929121269

24 other Chicago Bears players appear in the official box score with no passing, rushing or receiving line.

Carolina Panthers · 37

PlayerPass ydsRush ydsRecRec ydsTD
Bryce Young361Forecast 161 (54–274) · outside range10Forecast 10 (0–36) · in range00YesForecast 24.8%
Jalen Coker008Forecast 3 (1–6) · outside range138Forecast 33 (5–81) · outside rangeYesForecast 26.7%
Chuba Hubbard049Forecast 24 (4–60) · in range3Forecast 1 (0–3) · in range38Forecast 10 (0–41) · in rangeYesForecast 23.8%
Tetairoa McMillan005Forecast 3 (1–7) · in range75Forecast 39 (7–88) · in rangeNoForecast 25.9%
Jonathon Brooks014148No
AJ Dillon02800No
Darren Waller00228No
Tommy Tremble003Forecast 1 (0–3) · in range25Forecast 11 (0–43) · in rangeNoForecast 15.2%
Kenny Pickett02400No
Mitchell Evans001Forecast 1 (0–3) · in range9Forecast 6 (0–36) · in rangeNoForecast 7.8%
Xavier Legette000Forecast 2 (0–4) · in range0Forecast 15 (0–51) · in rangeNoForecast 11.0%
Ja'Tavion SandersNo line in the official box score———Forecast 1 (0–4)—Forecast 11 (0–42)—Forecast 16.0%
Player lines added up36112523361

25 other Carolina Panthers players appear in the official box score with no passing, rushing or receiving line.

Shown: the passing, rushing and receiving lines and touchdowns GameTimePicks records; defensive and kicking statistics are not recorded here. “Player lines added up” sums the players' lines, so team passing yards are before sack yardage. TD means a rushing, receiving, return or recovery touchdown; a thrown one does not count. “—” means the player has no line in the official box score. Every graded forecast for Week 1 is on the NFL week report.

Regular season · week 1 · Sunday, Sep 13, 1:00 PM ET · Bank of America Stadium

Chicago Bears at Carolina Panthers

Chicago Bears49.3% to win

Pregame projection

23–24

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

Carolina Panthers47.9% to win

Chicago Bears were the projected winner, 49.3% to win.

About 3% chance of a tie after regulation is not assigned to either team.

Expected margin

CAR 0

8 in 10 outcomes between -18 and +17

Expected total

47

8 in 10 outcomes between 31 and 64

Official Forecast · frozen before kickoff · graded after

The authorized GameTimePicks output for a game or player, frozen before the start and never edited afterwards. Each one is graded against the official result once the game is final, and results are published as games are graded. Player results grade the official player board's own pre-kickoff projections, each under the model and version that made it — the same projections the game pages and Weekly leaders show. The supporting simulations some game pages show are not graded in these results, so none of these results describe them.

Simulation story

5 chapters · the forecast as it stood before the start
› Loading the matchup model› Reading the outcome distribution from 10,000 simulated games› Preparing 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, Sun, Sep 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 13, 9:48 AM ET

Projected scorecard

expected statistical summaries · not one simulated game
CHI 23 — 24 CARwin chance CHI 49.3% · CAR 47.9%total 47 (31–64)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 (60–282)

Rushing leaders

D'Andre Swift 40 rush yds (11–83)

Kyle Monangai 26 rush yds (5–62)

Receiving leaders

Colston Loveland 4 rec · 40 yds

Luther Burden III 2 rec · 26 yds

Cole Kmet 1 rec · 10 yds

CAR

Likely TD scorers

Jalen Coker 26.7%

Tetairoa McMillan 25.9%

Bryce Young 24.8%

Passing

Bryce Young 161 pass yds (54–274)

Rushing leaders

Chuba Hubbard 24 rush yds (4–60)

Bryce Young 10 rush yds (0–36)

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, not published as a forecast
  • First/last/2+ touchdown: DISABLED — no ordering model and no calibration receipt of their own; never derived from anytime probabilities
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 — 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 median receptions.

PlayerTeamAvailabilityReceptions (10th–90th)Rec yards (10th–90th)TD chance
Colston LovelandCHIprojected active4 (1–7)40 (8–90)20.6%
Jalen CokerCARprojected active3 (1–6)33 (5–81)26.7%
Tetairoa McMillanCARprojected active3 (1–7)39 (7–88)25.9%
Xavier LegetteCARprojected active2 (0–4)15 (0–51)11.0%
Luther Burden IIICHIprojected active2 (1–5)26 (0–70)8.0%
Chuba HubbardCARprojected active1 (0–3)10 (0–41)23.8%
Cole KmetCHIprojected active1 (0–3)10 (0–41)17.3%
Ja'Tavion SandersCARprojected active1 (0–4)11 (0–42)16.0%
Tommy TrembleCARprojected active1 (0–3)11 (0–43)15.2%
Kyle MonangaiCHIprojected active1 (0–3)7 (0–36)14.5%
Mitchell EvansCARprojected active1 (0–3)6 (0–36)7.8%
Families not shown, and the exact bar each failed (2)
  • pass interceptions: research only, not published as a forecast
  • First/last/2+ touchdown: DISABLED — no ordering model and no calibration receipt of their own; never derived from anytime probabilities

Scoring outlooktop 6 of 14 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
The model's chance for each side to win, from its team-strength rating — not a count of simulated wins. The simulated games show their own win share, and the difference, in Simulated game outcomes.
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.
Official Forecast
The authorized GameTimePicks output for a game or player, frozen before the start and never edited afterwards. Each one is graded against the official result; its record on games played after it was frozen is still accumulating.
Technical detailsModel version, input fingerprint, timestamps and the per-family evaluation basis.

Where this came from

model
nfl-regular-season-public-v1 v1
simulations
10,000
input hash
7087e0ea41c83e40
generated
kickoff
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. These ratings are built from results, not from who is playing: they do not know that a starting quarterback has been ruled out. Our player projections do remove players who cannot play; the team win chance beside them does not. We tested whether adding that would help, using perfect hindsight about whether each team's main quarterback actually played — on 855 games from 2023 to 2025 it improved the win rating on average but was WORSE in one of the three seasons, so it did not clear the bar we hold these ratings to and we left the rating alone.

Educational and paper-only — not betting advice.

More

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