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Regular season · week 2 · Thursday, Sep 17, 8:15 PM ET · final

Detroit Lions at Buffalo Bills

Detroit LionsBuffalo BillsSaved 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 DET 31 – 41 BUF, from the Week 2 record.

What happened · official box score

Final: DET 31 – 41 BUF

The played game's official lines, recorded Sep 18, 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.

Detroit Lions · 31

PlayerPass ydsRush ydsRecRec ydsTD
Jared Goff327Forecast 227 (128–368) · in range7Forecast 0 (0–17) · in range00NoForecast 4.9%
Amon-Ra St. Brown009Forecast 7 (3–14) · in range142Forecast 76 (35–140) · outside rangeYesForecast 51.1%
Jahmyr Gibbs052Forecast 81 (26–185) · in range6Forecast 3 (1–7) · in range61Forecast 32 (9–72) · in rangeYesForecast 70.3%
Sam LaPorta006Forecast 4 (1–9) · in range52Forecast 44 (15–94) · in rangeYesForecast 27.5%
Jameson Williams002Forecast 4 (1–8) · in range33Forecast 49 (17–105) · in rangeNoForecast 29.8%
Isaac TeSlaa00226No
Sione Vaki07113No
Brock Wright000Forecast 1 (0–3) · in range0Forecast 8 (0–34) · in rangeNoForecast 8.9%
Justin JacksonNo line in the official box score——Forecast 4 (0–35)———Forecast 16.2%
Player lines added up3276626327

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

Buffalo Bills · 41

PlayerPass ydsRush ydsRecRec ydsTD
Josh Allen248Forecast 239 (131–396) · in range69Forecast 22 (3–76) · in range00YesForecast 41.2%
James Cook0135Forecast 61 (18–150) · in range1Forecast 2 (0–5) · in range4Forecast 19 (0–53) · in rangeYesForecast 52.5%
Dalton Kincaid007Forecast 4 (1–8) · in range95Forecast 47 (14–105) · in rangeYesForecast 26.3%
Keon Coleman006Forecast 1 (0–4) · outside range63Forecast 13 (0–42) · outside rangeNoForecast 12.6%
Josh Palmer001Forecast 1 (0–4) · in range43Forecast 15 (0–49) · in rangeYesForecast 14.7%
Khalil Shakir003Forecast 5 (1–10) · in range38Forecast 49 (18–101) · in rangeNoForecast 28.5%
Dawson Knox002Forecast 2 (0–4) · in range5Forecast 15 (0–47) · in rangeYesForecast 13.3%
Ray Davis00Forecast 2 (0–27) · in range00NoForecast 10.2%
DJ Moore0-10Forecast 5 (2–11) · outside range0Forecast 66 (27–133) · outside rangeNoForecast 44.2%
Player lines added up24820320248

27 other Buffalo Bills 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 2 is on the NFL week report.

Regular season · week 2 · Thursday, Sep 17, 8:15 PM ET · Highmark Stadium

Detroit Lions at Buffalo Bills

Detroit Lions34.9% to win

Pregame projection

25–29

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

Buffalo Bills62.4% to win

Buffalo Bills were the projected winner, 62.4% to win.

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

Expected margin

BUF +4

8 in 10 outcomes between -13 and +20

Expected total

54

8 in 10 outcomes between 37 and 71

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.

DET @ BUF

Detroit Lions at Buffalo Bills, Thu, Sep 17. 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, 7:22 PM ET

Projected scorecard

expected statistical summaries · not one simulated game
DET 25 — 29 BUFwin chance DET 34.9% · BUF 62.4%total 54 (37–71)margin +4

DET

Likely TD scorers

Jahmyr Gibbs 70.3%

Amon-Ra St. Brown 51.1%

Jameson Williams 29.8%

Passing

Jared Goff 227 pass yds (128–368)

Rushing leaders

Jahmyr Gibbs 81 rush yds (26–185)

Justin Jackson 4 rush yds (0–35)

Receiving leaders

Amon-Ra St. Brown 7 rec · 76 yds

Jameson Williams 4 rec · 49 yds

Sam LaPorta 4 rec · 44 yds

BUF

Likely TD scorers

James Cook 52.5%

DJ Moore 44.2%

Josh Allen 41.2%

Passing

Josh Allen 239 pass yds (131–396)

Rushing leaders

James Cook 61 rush yds (18–150)

Josh Allen 22 rush yds (3–76)

Receiving leaders

DJ Moore 5 rec · 66 yds

Khalil Shakir 5 rec · 49 yds

Dalton Kincaid 4 rec · 47 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

62.4%

BUF to win

Sportsbook win chance

68.4%

BUF to win, read from 7 sportsbooks' odds with their built-in margin removed

Difference

-6 pp

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

Total points: ours vs sportsbooks

54 vs 54.5

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 is not validated to out-predict the sportsbook 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
Amon-Ra St. BrownDET7 (3–14)76 (35–140)51.1%
DJ MooreBUF5 (2–11)66 (27–133)44.2%
Khalil ShakirBUF5 (1–10)49 (18–101)28.5%
Jameson WilliamsDET4 (1–8)49 (17–105)29.8%
Sam LaPortaDET4 (1–9)44 (15–94)27.5%
Dalton KincaidBUF4 (1–8)47 (14–105)26.3%
Jahmyr GibbsDET3 (1–7)32 (9–72)70.3%
James CookBUF2 (0–5)19 (0–53)52.5%
Dawson KnoxBUF2 (0–4)15 (0–47)13.3%
Josh PalmerBUF1 (0–4)15 (0–49)14.7%
Keon ColemanBUF1 (0–4)13 (0–42)12.6%
Brock WrightDET1 (0–3)8 (0–34)8.9%
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 16 by TD chance · full list in the board’s TD tab

  • 70.3% Jahmyr Gibbs · DET
  • 52.5% James Cook · BUF
  • 51.1% Amon-Ra St. Brown · DET
  • 44.2% DJ Moore · BUF
  • 41.2% Josh Allen · BUF
  • 29.8% Jameson Williams · DET

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 v2
simulations
10,000
input hash
d4b1619e494afb43
generated
kickoff
state
SETTLED
Player-family model provenance (4 published)
  • Rushing yards: Share-level model: cleared every bar when re-tested on 2014–2021 (14,502 player-games) — a second look at seasons examined once before, not a blind test. Each week's forecast is frozen before the first kickoff and graded; its blind 2026 record is still accumulating (0 graded player-games so far).
  • Receiving yards: Share-level model: cleared every bar when re-tested on 2014–2021 (27,134 player-games) — a second look at seasons examined once before, not a blind test. Each week's forecast is frozen before the first kickoff and graded; its blind 2026 record is still accumulating (0 graded player-games so far).
  • Receptions: Share-level model: cleared every bar when re-tested on 2014–2021 (27,134 player-games) — a second look at seasons examined once before, not a blind test. Each week's forecast is frozen before the first kickoff and graded; its blind 2026 record is still accumulating (0 graded player-games so far).
  • Anytime touchdown: Opportunity touchdown model: cleared every bar on a blind test of 2014–2021 (35,128 player-games never used to build it). Probabilities condition on playing — a player who does not play settles void. Each week's forecast is frozen before the first kickoff and graded; its blind 2026 record is still accumulating (0 graded player-games so far).

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.

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