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Educational analyticsNot betting advice · research use only.
GameTime Picks

NFL · CHI @ GB · Simulation

Chicago Bears at Green Bay Packers

Simulation · experimental · 10,000 coherent game paths

Simulation V2 · experimental · how to read this page

Each run is one internally consistent possible game: drives, plays, player stats and points all add up inside that run. The numbers below summarise all 10,000 simulated games.

This is a separate, experimental engine, not our main forecast. It is not independent of it: each team's scoring level is set so the simulated average total and margin match the Game Time Forecast's expected total and margin. It has not been shown to be more accurate than the Game Time Forecast: on held-out past games its win chances scored slightly worse. It is shown for exploration, takes no betting-market input, and feeds no pick or product. It was frozen before kickoff and is never re-run with live information.

Game Time Forecast · our main model · separate from this simulation

CHI 22 — 26 GB · win chance CHI 40.8% · GB 56.5% · total 48

A different engine, anchored to the Game Time Forecast's expected total and margin. Open the Game Time Forecast.

Game outcome · Simulation V2

39.2%CHI win in the simulated games
60.5%GB win in the simulated games
0.4%tie after overtime
3.1%game goes to overtime
CHI 22 – 26 GBmedian score · averages 22.17 – 25.94
48median total · 80% of games 31–65
GB by 4median margin · 80% range: CHI by 14 to GB by 21
44.8%one-score game (decided by 8 or fewer)
8.6% · 6.6%decided by exactly 3 · by exactly 7

Score distribution

Final margin: GB points minus CHI points (below 0 means CHI won). Bars group 3 points; the solid bar holds the median (4). Range shown -51 to 60.
Final total points. Bars group 4 points; the solid bar holds the median (48). Range shown 8 to 104.

Each team's score

TeamLow (10th)MedianHigh (90th)Average
CHI10223422.17
GB13263825.94

Quarters and halves

From the same simulated games, so the quarters add up to each game's final. Overtime is shown above.

PeriodCHI median (80%)GB median (80%)Both teams (80%)CHI wins itGB wins itLevel
Q13 (0–10)6 (0–13)10 (3–19)36.9%45.9%17.2%
Q27 (0–14)7 (0–14)14 (6–24)38.5%49.3%12.2%
Q33 (0–10)7 (0–13)10 (3–20)35.6%46.6%17.8%
Q47 (0–14)7 (0–14)13 (3–22)36.7%47.5%15.8%
1st half10 (3–20)13 (3–23)24 (13–37)39.6%54.2%6.2%
2nd half10 (3–20)13 (3–21)23 (12–35)38.1%54.2%7.7%

Team box · median (80% range)

StatCHIGB
Drives11 (9–13)11 (9–13)
Plays62 (50–75)63 (51–76)
Pass attempts34 (25–44)33 (25–43)
Completions23 (17–31)22 (15–29)
Passing yards213 (129–309)229 (141–326)
Passing TDs1 (0–3)2 (0–3)
Interceptions1 (0–2)0 (0–2)
Sacks taken2 (0–4)2 (0–4)
Rush attempts25 (17–34)26 (18–36)
Rushing yards118 (56–198)124 (61–206)
Rushing TDs1 (0–2)1 (0–2)
Field goals made1 (0–3)2 (0–3)

Touchdowns per team

Touchdowns012345+
CHI6.3%20.3%29.3%24.8%13.4%5.8%
GB3.3%13.3%25.8%27.5%18.4%11.7%

Players · median (80% range)

Player lines are slices of the same simulated games: in every run, receivers' catches and yards add up to their passer's, and carries add up to the team's. Volume a named player does not get goes to "Other", so nothing is forced onto a starter. Players ruled out before the simulation get no snaps.

CHI passing

PlayerAttemptsCompletionsYardsTDs (avg)INTs (avg)
Caleb Williams QB34 (25–44)23 (17–31)213 (129–309)1.50.8

CHI rushing

PlayerCarriesYardsRush TDs (avg)
D'Andre Swift RB12 (8–18)53 (19–108)0.5
Caleb Williams QB10 (6–15)47 (15–98)0.3
Brittain Brown RB1 (0–2)0 (0–14)0.0
Roschon Johnson RB1 (0–2)0 (0–13)0.0

CHI receiving

PlayerTargetsCatchesYardsRec TDs (avg)
Luther Burden III WR7 (4–11)5 (2–8)38 (8–88)0.3
Kalif Raymond WR5 (2–9)4 (2–7)32 (6–77)0.2
Rome Odunze WR5 (3–9)3 (1–6)30 (4–77)0.2
Colston Loveland TE5 (3–9)3 (1–6)27 (3–69)0.2
D'Andre Swift RB3 (1–5)2 (0–4)12 (0–44)0.1
Cole Kmet TE2 (0–4)1 (0–3)6 (0–35)0.1

GB passing

PlayerAttemptsCompletionsYardsTDs (avg)INTs (avg)
Jordan Love QB29 (21–38)19 (13–26)198 (117–293)1.60.6

GB rushing

PlayerCarriesYardsRush TDs (avg)
Josh Jacobs RB9 (5–14)39 (12–88)0.4
MarShawn Lloyd RB7 (4–12)28 (6–71)0.3
Kaleb Johnson RB6 (3–10)25 (5–66)0.3
Jordan Love QB3 (1–6)12 (0–41)0.1

GB receiving

PlayerTargetsCatchesYardsRec TDs (avg)
Christian Watson WR6 (3–9)4 (1–7)40 (7–92)0.3
Matthew Golden WR6 (3–10)4 (1–6)37 (6–87)0.3
Tucker Kraft TE5 (2–8)3 (1–6)28 (4–74)0.3
MarShawn Lloyd RB2 (1–5)2 (0–4)11 (0–44)0.1
Luke Musgrave TE2 (0–4)1 (0–3)10 (0–44)0.1
Skyy Moore WR2 (1–5)1 (0–3)8 (0–41)0.1

Touchdown scorers

Share of simulated games in which the player scored; the first-TD scorer is the first touchdown of that same game.

PlayerTeamAnytime TD2+ TDsFirst TD of the game
D'Andre Swift RBCHI46.4%11.4%11.3%
Josh Jacobs RBGB39.2%8.0%9.6%
MarShawn Lloyd RBGB37.2%7.5%8.6%
Matthew Golden WRGB30.1%4.5%6.8%
Christian Watson WRGB28.5%3.9%6.0%
Luther Burden III WRCHI28.1%4.0%6.3%
Caleb Williams QBCHI26.9%3.5%6.1%
Kaleb Johnson RBGB24.7%2.9%5.6%
Tucker Kraft TEGB24.6%3.2%5.4%
Rome Odunze WRCHI22.0%2.3%4.5%
Colston Loveland TECHI21.9%2.1%4.6%
Kalif Raymond WRCHI21.8%2.2%4.4%
Luke Musgrave TEGB12.4%0.6%2.6%
Skyy Moore WRGB12.2%0.7%2.5%
Cole Kmet TECHI8.3%0.5%1.6%
Mark Redman TEGB7.8%0.3%1.6%

First touchdown by team: CHI 44.9% · GB 54.9% · no offensive touchdown 0.3%. Defensive and special-teams touchdowns are not credited to a player.

Representative simulated games

Real runs from this batch, picked by a fixed rule and replayed from their seed. Each is one possible game, not the forecast.

Representative simulation — not the forecast median like: CHI 22 – 26 GB

By quarter: CHI 6 / 3 / 7 / 6 · GB 3 / 3 / 0 / 20

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (CHI–GB)
1GB69fg7480–3
1CHI65punt6230–3
1GB87punt3200–3
1CHI72punt3210–3
1GB98punt390–3
1CHI57td2576–3
1GB64punt696–3
2CHI83punt316–3
2GB61punt5226–3
2CHI99fg9899–3
2GB76fg6549–6
2CHI77punt6259–6
3GB82punt10-59–6
3CHI33td53316–6
3GB14td81416–13
4CHI68punt3-116–13
4GB73punt31916–13
4CHI99turnover53016–13
4GB31fg121916–16
4CHI72fg124119–16
4GB77fg54619–19
4CHI65fg56222–19
4GB70td57022–26
4CHI71end half34322–26
Representative simulation — not the forecast high scoring: CHI 30 – 34 GB

By quarter: CHI 10 / 10 / 7 / 3 · GB 7 / 14 / 10 / 3

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (CHI–GB)
1CHI43fg4423–0
1GB48td8483–7
1CHI70turnover4-53–7
1GB42punt363–7
1CHI99td129910–7
1GB65td106510–14
2CHI55turnover21310–14
2GB49td84910–21
2CHI71td27117–21
2GB75punt3917–21
2CHI68fg54720–21
2GB71end half44820–21
2GB80punt3920–21
3CHI94punt34920–21
3GB79fg87720–24
3CHI76td87627–24
3GB80td38027–31
3CHI69punt3-127–31
4GB88fg46927–34
4CHI65fg103130–34
4GB63fg miss101930–34
4CHI48end half1-330–34
Representative simulation — not the forecast low scoring: CHI 14 – 18 GB

By quarter: CHI 0 / 0 / 7 / 7 · GB 3 / 12 / 3 / 0

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (CHI–GB)
1GB65fg13550–3
1CHI70punt800–3
1GB87punt310–3
1CHI69turnover100–3
1GB41td16410–10
2CHI65turnover2120–10
2GB58punt3270–10
2CHI99safety1-10–12
2GB57fg13490–15
2CHI69end half5140–15
2CHI73td5737–15
3GB70fg5677–18
3CHI65punt4467–18
3GB99punt727–18
3CHI32turnover3237–18
3GB64punt897–18
4CHI78punt697–18
4GB78fg miss6447–18
4CHI58td125814–18

Provenance

Enginenfl-drive-sim-v2 2.0.0-shadow
StatusResearch only · experimental · not promoted · not our main forecast
Runs10,000 · incoherent runs 0 of 10,000
Generated2026-10-09 20:06 UTC · before kickoff 2026-10-11 17:00 UTC
Seed3a784291 · per-run mulberry32 seeded by splitmix(baseSeed, runIndex); baseSeed = fnv1a64(engine|eventId|inputHash)
Team strengthforecast receipt total.median 48 / margin.median 4 (nfl-regular-season-public-v1@v2) · calibrated means GB 25.99 / CHI 21.95
Availabilityinjuries@2026-10-09T20:03:58Z+rosters@2026-10-09T20:03:58Z
MarketNot used as an input
Receiptnfl-sim-v2:401872990:850f153dd52d9d18

Not modelled: downs and distance, penalties, timeouts, weather, kickers as players, defensive player stats, and exact final-score frequencies. Those are absent here rather than estimated. Educational and paper-only; not betting advice.