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

New York JetsatTennessee TitansEXPERIMENTAL

Nissan Stadium

New York JetsTennessee TitansSaved 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 NYJ 2310 TEN, 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.

NYJ @ TEN

New York Jets at Tennessee Titans, 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

NYJ 23 — 25 TEN

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

Win chance

NYJ 43.5% · TEN 53.6%

how often each side won in 10,000 simulations · ties 2.9%

Total points (both teams)

48

8 in 10 simulations landed between 31 and 64

TEN winning margin

+2

a minus means NYJ wins by that much · 8 in 10 between -15 and 20

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
NYJ 23 25 TENwin chance NYJ 43.5% · TEN 53.6%total 48 (3164)margin +2

NYJ

Likely TD scorers

Breece Hall 38.9%

Garrett Wilson 33.1%

Andrew Beck 31.1%

Rushing leaders

Breece Hall 47 rush yds (1692)

Braelon Allen 8 rush yds (034)

New arrivals · not in these numbers

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

Geno Smith 173.4 pass yds/g at LV

Receiving leaders

Garrett Wilson 5 rec · 51 yds

Adonai Mitchell 3 rec · 30 yds

Mason Taylor 3 rec · 27 yds

TEN

Likely TD scorers

Cam Ward 30.7%

Chimere Dike 23.2%

Elic Ayomanor 22.7%

Passing

Cam Ward 126 pass yds (31237)

Rushing leaders

Tony Pollard 55 rush yds (21106)

Tyjae Spears 15 rush yds (144)

New arrivals · not in these numbers

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

Michael Carter 2.4 rec · 17.5 yds/g at ARI

Wan'Dale Robinson 5.2 rec · 57.3 yds/g at NYG

Receiving leaders

Chimere Dike 2 rec · 22 yds

Elic Ayomanor 2 rec · 26 yds

Tyjae Spears 2 rec · 18 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)
New York Jets102335
Tennessee Titans132537
Comparison

Us versus the sportsbooks

two independent reads, shown side by side

Our win chance

53.6%

TEN to win

Sportsbook win chance

51.8%

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

Difference

+1.8 pp

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

Total points: ours vs sportsbooks

48 vs 38.5

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 has not been shown to beat the market.

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

Player projections · 18 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
Garrett WilsonNYJprojected active5 (29)51 (15105)33.1%
Adonai MitchellNYJprojected active3 (16)30 (476)20.0%
Mason TaylorNYJprojected active3 (16)27 (269)8.9%
Chimere DikeTENprojected active2 (05)22 (063)23.2%
Elic AyomanorTENprojected active2 (15)26 (068)22.7%
Tyjae SpearsTENprojected active2 (05)18 (053)14.8%
Gunnar HelmTENprojected active2 (04)15 (048)14.7%
Calvin RidleyTENrole uncertain2 (04)20 (061)
Isaiah WilliamsNYJrole uncertain2 (05)20 (060)
Breece HallNYJprojected active1 (04)10 (041)38.9%
Tony PollardTENprojected active1 (03)5 (032)20.7%
Jeremy RuckertNYJprojected active1 (03)9 (039)11.4%

New arrivals · not in the simulated numbers above

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

PlayerTeamAvailabilityLast clubPer game (prior club)
Michael Carter RBTENactive uncertainARI · 16g2.4 rec · 17.5 yds · 25.6 rush yds
Wan'Dale Robinson WRTENactive uncertainNYG · 18g5.2 rec · 57.3 yds
Geno Smith QBNYJactive uncertainLV · 18g6.1 rush yds · 173.4 pass 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 16 by TD chance · full list in the board’s TD tab

  • 38.9% Breece Hall · NYJ
  • 33.1% Garrett Wilson · NYJ
  • 31.1% Andrew Beck · NYJ
  • 30.7% Cam Ward · TEN
  • 23.2% Chimere Dike · TEN
  • 22.7% Elic Ayomanor · TEN

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
602892257ac44d87
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.

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