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Regular season · week 7 · Sunday, Oct 25, 4:25 PM ET · final

Green Bay Packers at Detroit Lions

Green Bay PackersDetroit LionsSaved 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 GB 17 – 20 DET, from the Week 7 record.

What happened · official box score

Final: GB 17 – 20 DET

The played game's official lines, recorded Oct 25, 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.

TeamQ1Q2Q3Q4Final
GB707317
DET737320

Green Bay Packers · 17

PlayerPass ydsRush ydsRecRec ydsTD
Jordan Love274Forecast 239 (133–391) · in range0Forecast 1 (0–16) · in range00NoForecast 8.1%
Josh Jacobs036Forecast 24 (4–59) · in range5Forecast 1.8 (0–3.7) · outside range55YesForecast 44.9%
Christian Watson005Forecast 3.7 (0.9–8.2) · in range57Forecast 37 (3–93) · in rangeNoForecast 42.1%
Savion Williams043Forecast 0.9 (0–2.7) · outside range47NoForecast 12.6%
Tucker Kraft004Forecast 3.7 (0.9–7.3) · in range48Forecast 23 (0–64) · in rangeYesForecast 26.2%
Matthew Golden006Forecast 3.7 (0.9–8.2) · in range39Forecast 36 (5–90) · in rangeNoForecast 35.9%
MarShawn Lloyd020Forecast 14 (2–38) · in range2Forecast 0.9 (0–3.7) · in range15NoForecast 35.4%
Jonnu Smith0019No
Bo Melton0014No
Chris BrooksNo line in the official box score——Forecast 5 (0–27)———Forecast 14.1%
Jayden ReedNo line in the official box score———Forecast 1.8 (0–4.6)—Forecast 12 (0–44)—Forecast 16.6%
Pierre Strong Jr.No line in the official box score——Forecast 10 (0–33)—Forecast 2.7 (0.9–6.4)—Forecast 14 (0–47)—Forecast 33.9%
Tyrod TaylorNo line in the official box score—————Forecast 5.7%
Player lines added up2746027274

22 other Green Bay Packers players appear in the official box score with no passing, rushing or receiving line.

Detroit Lions · 20

PlayerPass ydsRush ydsRecRec ydsTD
Jared Goff303Forecast 260 (149–416) · in range-1Forecast 1 (0–17) · outside range00NoForecast 8.8%
Amon-Ra St. Brown0-19Forecast 7 (2–13) · in range153Forecast 60 (20–116) · outside rangeNoForecast 52.1%
Jahmyr Gibbs0116Forecast 91 (43–151) · in range5Forecast 4 (1–9) · in range27Forecast 35 (8–79) · in rangeNoForecast 84.3%
Jameson Williams005Forecast 3 (1–7) · in range91Forecast 32 (2–85) · outside rangeYesForecast 29.8%
Sam LaPorta001Forecast 4 (1–9) · in range18Forecast 40 (8–91) · in rangeNoForecast 36.0%
Isaac TeSlaa001Forecast 2 (0–4) · in range10Forecast 15 (0–57) · in rangeNoForecast 15.9%
Sione Vaki05Forecast 4 (0–25) · in range00NoForecast 12.6%
Tyler Conklin0014No
Justin JacksonNo line in the official box score—————Forecast 18.6%
Player lines added up30311922303

23 other Detroit Lions 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 7 is on the NFL week report.

Regular season · week 7 · Sunday, Oct 25, 4:25 PM ET · Ford Field

Green Bay Packers at Detroit Lions

Green Bay Packers41.8% to win

Pregame projection

24–27

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

Detroit Lions55.2% to win

Detroit Lions were the projected winner, 55.2% to win.

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

Expected margin

DET +3

8 in 10 outcomes between -14 and +19

Expected total

51

8 in 10 outcomes between 34 and 69

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.

GB @ DET

Green Bay Packers at Detroit Lions, Sun, Oct 25. 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 Oct 25, 4:10 PM ET

Projected scorecard

expected statistical summaries · not one simulated game
GB 24 — 27 DETwin chance GB 41.8% · DET 55.2%total 51 (34–69)margin +3

GB

Likely TD scorers

Josh Jacobs 44.9%

Christian Watson 42.1%

Matthew Golden 35.9%

Passing

Jordan Love 239 pass yds (133–391)

Rushing leaders

Josh Jacobs 24 rush yds (4–59)

MarShawn Lloyd 14 rush yds (2–38)

Receiving leaders

Christian Watson 3.7 rec · 37 yds

Matthew Golden 3.7 rec · 36 yds

Tucker Kraft 3.7 rec · 23 yds

DET

Likely TD scorers

Jahmyr Gibbs 84.3%

Amon-Ra St. Brown 52.1%

Sam LaPorta 36.0%

Passing

Jared Goff 260 pass yds (149–416)

Rushing leaders

Jahmyr Gibbs 91 rush yds (43–151)

Sione Vaki 4 rush yds (0–25)

Receiving leaders

Amon-Ra St. Brown 7 rec · 60 yds

Jahmyr Gibbs 4 rec · 35 yds

Sam LaPorta 4 rec · 40 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
Model detail — who this forecast leaves out (4)
  • Kaleb Johnson GB — Not playing: Listed Out.
  • Luke Musgrave GB — Not playing: Listed Out.
  • Skyy Moore GB — Not playing: Listed Injured Reserve.
  • Isiah Pacheco DET — Role not yet observed: no game for DET yet this season — role at DET not yet observed.Historical prior, not used in these numbers: 16 games for KC, 1.3 rec · 7.7 rec yds · 30.7 rush yds per game.
Comparison

Us versus the sportsbooks

two independent reads, shown side by side

No current sportsbook capture covers this game.

Player projections · 19 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 (2–13)60 (20–116)52.1%
Jahmyr GibbsDET4 (1–9)35 (8–79)84.3%
Sam LaPortaDET4 (1–9)40 (8–91)36.0%
Christian WatsonGB3.7 (0.9–8.2)37 (3–93)42.1%
Matthew GoldenGB3.7 (0.9–8.2)36 (5–90)35.9%
Tucker KraftGB3.7 (0.9–7.3)23 (0–64)26.2%
Jameson WilliamsDET3 (1–7)32 (2–85)29.8%
Pierre Strong Jr.GB2.7 (0.9–6.4)14 (0–47)33.9%
Isaac TeSlaaDET2 (0–4)15 (0–57)15.9%
Josh JacobsGB1.8 (0–3.7)—44.9%
Jayden ReedGB1.8 (0–4.6)12 (0–44)16.6%
MarShawn LloydGB0.9 (0–3.7)—35.4%
Savion WilliamsGB0.9 (0–2.7)—12.6%
Model detail — who this forecast leaves out (4)
  • Kaleb Johnson GB — Not playing: Listed Out.
  • Luke Musgrave GB — Not playing: Listed Out.
  • Skyy Moore GB — Not playing: Listed Injured Reserve.
  • Isiah Pacheco DET — Role not yet observed: no game for DET yet this season — role at DET not yet observed.Historical prior, not used in these numbers: 16 games for KC, 1.3 rec · 7.7 rec yds · 30.7 rush yds per game.
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 19 by TD chance · full list in the board’s TD tab

  • 84.3% Jahmyr Gibbs · DET
  • 52.1% Amon-Ra St. Brown · DET
  • 44.9% Josh Jacobs · GB
  • 42.1% Christian Watson · GB
  • 36.0% Sam LaPorta · DET
  • 35.9% Matthew Golden · GB

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

Game Simulation · Simulation V2 · separate from this Official Forecast

See 10,000 coherent simulated games of this matchup

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
1e7a65f7b965b263
generated
kickoff
state
SETTLED
Player-family model provenance (3 published)
  • Receiving yards: props-v1 evaluation: n=3575, all promotion bars pass
  • 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 holding every bar (947 graded player-games).
  • 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 holding every bar (1248 graded player-games).

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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