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Regular season · week 1 · Thursday, Sep 10, 8:35 PM ET · final

San Francisco 49ers at Los Angeles Rams

San Francisco 49ersLos Angeles RamsSaved 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 SF 27 – 7 LAR, from the Week 1 record.

What happened · official box score

Final: SF 27 – 7 LAR

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.

San Francisco 49ers · 27

PlayerPass ydsRush ydsRecRec ydsTD
Brock Purdy205Forecast 165 (50–296) · in range29Forecast 10 (0–39) · in range00NoForecast 16.4%
Christian McCaffrey068Forecast 43 (15–87) · in range5Forecast 4 (1–7) · in range20Forecast 35 (7–81) · in rangeNoForecast 45.8%
Kaelon Black06515No
Deebo Samuel Sr.012648Yes
Demarcus Robinson002Forecast 1 (0–4) · in range50Forecast 12 (0–47) · outside rangeYesForecast 15.5%
Mike Evans00649Yes
Luke Farrell00219NoForecast 8.6%
George Kittle002Forecast 3 (1–7) · in range12Forecast 36 (6–85) · in rangeNoForecast 23.2%
Jake Brendel0012No
Brandon AiyukNo line in the official box score———Forecast 2 (0–4)—Forecast 15 (0–53)—
Isaac GuerendoNo line in the official box score—————Forecast 7.2%
Jake TongesNo line in the official box score———Forecast 2 (0–5)—Forecast 19 (0–57)—Forecast 22.5%
Jordan JamesNo line in the official box score——Forecast 3 (0–25)———
Kyle JuszczykNo line in the official box score—————Forecast 10.7%
Mac JonesNo line in the official box score—Forecast 55 (0–189)—Forecast 2 (0–20)———
Ricky PearsallNo line in the official box score———Forecast 2 (0–5)—Forecast 26 (0–70)—
Player lines added up20517425205

24 other San Francisco 49ers players appear in the official box score with no passing, rushing or receiving line.

Los Angeles Rams · 7

PlayerPass ydsRush ydsRecRec ydsTD
Matthew Stafford155Forecast 186 (66–312) · in range-100No
Puka Nacua005Forecast 5 (2–9) · in range74Forecast 62 (19–123) · in rangeNoForecast 39.3%
Kyren Williams041Forecast 47 (16–95) · in range3Forecast 1 (0–3) · in range24Forecast 8 (0–38) · in rangeYesForecast 45.3%
Blake Corum054Forecast 28 (6–69) · in range00NoForecast 15.7%
Davante Adams003Forecast 3 (1–6) · in range26Forecast 33 (5–81) · in rangeNoForecast 34.2%
Ronnie Rivers01915No
Stetson Bennett IV13900No
Davis Allen001Forecast 1 (0–3) · in range13Forecast 6 (0–33) · in rangeNo
Tyler Higbee002Forecast 1 (0–3) · in range12Forecast 11 (0–44) · in rangeNoForecast 17.0%
Jordan Whittington0018No
Colby Parkinson001Forecast 2 (0–5) · in range6Forecast 19 (0–58) · in rangeNoForecast 26.5%
Terrance Ferguson000Forecast 1 (0–3) · in range0Forecast 6 (0–37) · in rangeNoForecast 20.8%
Tutu AtwellNo line in the official box score—————Forecast 12.0%
Player lines added up16812217168

20 other Los Angeles Rams 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 · Thursday, Sep 10, 8:35 PM ET · Melbourne Cricket Ground

San Francisco 49ers at Los Angeles Rams

San Francisco 49ers39.4% to win

Pregame projection

23–28

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

Los Angeles Rams58.2% to win

Los Angeles Rams were the projected winner, 58.2% to win.

About 2% chance of a tie after regulation is not assigned to either team.

Expected margin

LAR +5

8 in 10 outcomes between -13 and +22

Expected total

51

8 in 10 outcomes between 34 and 68

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.

SF @ LAR

San Francisco 49ers at Los Angeles Rams, Thu, Sep 10. 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 10, 6:56 PM ET

Projected scorecard

expected statistical summaries · not one simulated game
SF 23 — 28 LARwin chance SF 39.4% · LAR 58.2%total 51 (34–68)margin +5

SF

Likely TD scorers

Christian McCaffrey 45.8%

George Kittle 23.2%

Jake Tonges 22.5%

Passing

Brock Purdy 165 pass yds (50–296)

Rushing leaders

Christian McCaffrey 43 rush yds (15–87)

Brock Purdy 10 rush yds (0–39)

Receiving leaders

Christian McCaffrey 4 rec · 35 yds

George Kittle 3 rec · 36 yds

Jake Tonges 2 rec · 19 yds

LAR

Likely TD scorers

Kyren Williams 45.3%

Puka Nacua 39.3%

Davante Adams 34.2%

Passing

Matthew Stafford 186 pass yds (66–312)

Rushing leaders

Kyren Williams 47 rush yds (16–95)

Blake Corum 28 rush yds (6–69)

Receiving leaders

Puka Nacua 5 rec · 62 yds

Davante Adams 3 rec · 33 yds

Colby Parkinson 2 rec · 19 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

No current sportsbook capture covers this game.

Player projections · 22 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
Puka NacuaLARprojected active5 (2–9)62 (19–123)39.3%
Christian McCaffreySFprojected active4 (1–7)35 (7–81)45.8%
Davante AdamsLARprojected active3 (1–6)33 (5–81)34.2%
George KittleSFprojected active3 (1–7)36 (6–85)23.2%
Colby ParkinsonLARprojected active2 (0–5)19 (0–58)26.5%
Jake TongesSFprojected active2 (0–5)19 (0–57)22.5%
Ricky PearsallSF2 (0–5)26 (0–70)—
Brandon AiyukSF2 (0–4)15 (0–53)—
Kyren WilliamsLARprojected active1 (0–3)8 (0–38)45.3%
Terrance FergusonLARprojected active1 (0–3)6 (0–37)20.8%
Tyler HigbeeLARprojected active1 (0–3)11 (0–44)17.0%
Demarcus RobinsonSFprojected active1 (0–4)12 (0–47)15.5%
Davis AllenLAR1 (0–3)6 (0–33)—
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

  • 45.8% Christian McCaffrey · SF
  • 45.3% Kyren Williams · LAR
  • 39.3% Puka Nacua · LAR
  • 34.2% Davante Adams · LAR
  • 26.5% Colby Parkinson · LAR
  • 23.2% George Kittle · SF

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
739be4ef72ef18e9
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.

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