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

Detroit LionsatBuffalo BillsEXPERIMENTAL

Highmark Stadium

Detroit LionsBuffalo BillsSaved on this device
Research matchup

70°F · 5 mph wind from the N · 7% chance of rain · mostly cloudynot used by the model; no weather term enters the numbers below.

Simulation story

5 chapters · read from the published artifact
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.

DET @ BUF

Detroit Lions at Buffalo Bills at Highmark Stadium.

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

DET 25 — 29 BUF

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

Win chance

DET 34.9% · BUF 62.4%

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

Total points (both teams)

54

8 in 10 simulations landed between 37 and 71

BUF winning margin

+4

a minus means DET wins by that much · 8 in 10 between -13 and 20

Model details

From the margin-of-victory Elo win head, published exactly as evaluated on held-out 2006–2021 — no shrink toward 50% is applied, and no claim to out-predict the sportsbook market is made. Generated 2026-09-17T14:17:00Z 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
DET 25 29 BUFwin chance DET 34.9% · BUF 62.4%total 54 (3771)margin +4

DET

Likely TD scorers

Jahmyr Gibbs 70.3% · available role uncertain

Amon-Ra St. Brown 51.1% · available role uncertain

Jameson Williams 29.8% · available role uncertain

Passing

Jared Goff 227 pass yds (128368) · available role uncertain

Rushing leaders

Jahmyr Gibbs 81 rush yds (26185) · available role uncertain

Justin Jackson 4 rush yds (035) · available role uncertain

New arrivals · not in these numbers

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

Isiah Pacheco 1.3 rec · 7.7 yds/g at KC

Receiving leaders

Amon-Ra St. Brown 7 rec · 76 yds · available role uncertain

Jameson Williams 4 rec · 49 yds · available role uncertain

Sam LaPorta 4 rec · 44 yds · available role uncertain

BUF

Likely TD scorers

James Cook 52.5% · available role uncertain

DJ Moore 44.2% · available role uncertain

Josh Allen 41.2% · available role uncertain

Passing

Josh Allen 239 pass yds (131396) · available role uncertain

Rushing leaders

James Cook 61 rush yds (18150) · available role uncertain

Josh Allen 22 rush yds (376) · available role uncertain

New arrivals · not in these numbers

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

DJ Moore 3 rec · 39.4 yds/g at CHI

Receiving leaders

DJ Moore 5 rec · 66 yds · available role uncertain

Khalil Shakir 5 rec · 49 yds · available role uncertain

Dalton Kincaid 4 rec · 47 yds · available role uncertain

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)
Detroit Lions132537
Buffalo Bills172941
Exact score

The likeliest final scores

from an event-based simulation of touchdowns and field goals, solved onto the median margin and total above

Score (DET – BUF)Chance
27300.70%
24270.58%
20230.56%
27240.53%
30270.53%
23200.50%

No single scoreline is likely — these are the most common of hundreds. The projected score above is derived from the medians and answers a different question: the middle of the distribution, not its most common point.

Key numbers

How often it lands on 3, 7, 10 or 14

football's margins pile up on those four — this is the one thing a normal-draw model cannot show you

MarginThis gameLast 3 regular seasons
Decided by exactly 39.5%14.2%
Decided by exactly 75.7%8.3%
Decided by exactly 105.5%4.2%
Decided by exactly 144.5%4.4%
Any of the four25.2%31.1%

The right-hand column is what actually happened across 816 regular-season games (2023, 2024, 2025) — the same finals this engine was fitted to. It gets the shape right, with 3 the most common margin by a distance, and it is not calibrated to the number: it puts less weight on 3 and more on 10 than those seasons did.

DET touchdowns
2.8
BUF touchdowns
3.1
DET field goals
1.9
BUF field goals
2.1
Tied after regulation
3.3%
Comparison

Us versus the sportsbooks

two independent reads, shown side by side

Our win chance

62.4%

BUF to win

Sportsbook win chance

67.4%

BUF to win, read from 6 sportsbooks' odds with their built-in margin removed

Difference

-5 pp

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

Total points: ours vs sportsbooks

54 vs 55

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 2026-09-17T14:17:00Z — before kickoff.

Player projections · 17 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
Amon-Ra St. BrownDETrole uncertain7 (314)76 (35140)51.1%
DJ MooreBUFrole uncertain5 (211)66 (27133)44.2%
Khalil ShakirBUFrole uncertain5 (110)49 (18101)28.5%
Jameson WilliamsDETrole uncertain4 (18)49 (17105)29.8%
Sam LaPortaDETrole uncertain4 (19)44 (1594)27.5%
Dalton KincaidBUFrole uncertain4 (18)47 (14105)26.3%
Jahmyr GibbsDETrole uncertain3 (17)32 (972)70.3%
James CookBUFrole uncertain2 (05)19 (053)52.5%
Ty JohnsonBUFquestionable2 (04)15 (047)25.1%
Dawson KnoxBUFrole uncertain2 (04)15 (047)13.3%
Josh PalmerBUFrole uncertain1 (04)15 (049)14.7%
Keon ColemanBUFrole uncertain1 (04)13 (042)12.6%
Brock WrightDETrole uncertain1 (03)8 (034)8.9%

New arrivals · not in the simulated numbers above

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

PlayerTeamAvailabilityLast clubPer game (prior club)
DJ Moore WRBUFactive uncertainCHI · 21g3 rec · 39.4 yds
Isiah Pacheco RBDEToutKC · 16g1.3 rec · 7.7 yds · 30.7 rush 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 17 by TD chance · full list in the board’s TD tab

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

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 v2
simulations
10,000
input hash
5657b1e45746b99c
generated
2026-09-17T14:17:00Z
kickoff
2026-09-18T00:15Z
state
UPCOMING
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.

Educational and paper-only — not betting advice.

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