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Educational analyticsNot betting advice · research use only.
GameTime Picks

NFL · MIN @ NO · Simulation

Minnesota Vikings at New Orleans Saints

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

MIN 22 — 18 NO · win chance MIN 70.8% · NO 26.4% · total 40

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

Game outcome · Simulation V2

64.0%MIN win in the simulated games
35.6%NO win in the simulated games
0.5%tie after overtime
3.1%game goes to overtime
MIN 22 – 17 NOmedian score · averages 22.47 – 17.81
40median total · 80% of games 25–57
MIN by 5median margin · 80% range: MIN by 22 to NO by 13
43.5%one-score game (decided by 8 or fewer)
8.8% · 6.5%decided by exactly 3 · by exactly 7

Score distribution

Final margin: NO points minus MIN points (below 0 means MIN won). Bars group 3 points; the solid bar holds the median (-5). Range shown -57 to 39.
Final total points. Bars group 4 points; the solid bar holds the median (40). Range shown 0 to 92.

Each team's score

TeamLow (10th)MedianHigh (90th)Average
MIN10223422.47
NO7173017.81

Quarters and halves

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

PeriodMIN median (80%)NO median (80%)Both teams (80%)MIN wins itNO wins itLevel
Q13 (0–10)3 (0–10)7 (3–17)46.8%34.0%19.2%
Q27 (0–14)6 (0–13)12 (3–21)49.9%36.2%13.9%
Q33 (0–10)3 (0–10)7 (0–17)46.2%33.5%20.2%
Q46 (0–14)3 (0–10)10 (3–20)47.8%33.9%18.4%
1st half10 (3–21)9 (0–17)20 (10–32)55.4%37.6%7.0%
2nd half10 (3–20)7 (0–17)19 (9–31)55.5%35.8%8.6%

Team box · median (80% range)

StatMINNO
Drives11 (9–13)11 (9–13)
Plays63 (51–76)61 (49–74)
Pass attempts33 (24–43)34 (25–44)
Completions22 (16–29)23 (16–30)
Passing yards201 (119–293)194 (114–285)
Passing TDs1 (0–3)1 (0–2)
Interceptions1 (0–2)1 (0–3)
Sacks taken2 (0–4)2 (0–4)
Rush attempts27 (18–36)24 (17–33)
Rushing yards119 (58–198)101 (47–176)
Rushing TDs1 (0–2)0 (0–2)
Field goals made2 (0–3)1 (0–3)

Touchdowns per team

Touchdowns012345+
MIN7.1%22.2%30.1%23.8%12.0%4.8%
NO14.0%30.6%31.3%16.7%5.8%1.6%

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.

MIN passing

PlayerAttemptsCompletionsYardsTDs (avg)INTs (avg)
Kyler Murray QB33 (24–43)22 (16–29)201 (119–293)1.40.8

MIN rushing

PlayerCarriesYardsRush TDs (avg)
Aaron Jones Sr. RB11 (7–17)47 (15–99)0.4
Jordan Mason RB6 (3–11)25 (5–66)0.2
Kyler Murray QB6 (3–10)24 (5–63)0.1
Demond Claiborne RB1 (0–3)2 (0–18)0.1

MIN receiving

PlayerTargetsCatchesYardsRec TDs (avg)
Justin Jefferson WR8 (4–12)5 (3–9)48 (13–101)0.4
T.J. Hockenson TE7 (4–11)5 (3–9)43 (11–92)0.3
Jordan Addison WR7 (3–10)4 (2–7)34 (6–83)0.3
Aaron Jones Sr. RB5 (2–8)3 (1–5)21 (1–59)0.2
Jauan Jennings WR1 (0–3)1 (0–2)2 (0–26)0.1
Tai Felton WR1 (0–3)1 (0–2)0 (0–23)0.1

NO passing

PlayerAttemptsCompletionsYardsTDs (avg)INTs (avg)
Tyler Shough QB34 (25–44)23 (16–30)194 (114–285)1.11.1

NO rushing

PlayerCarriesYardsRush TDs (avg)
Tyler Shough QB7 (4–11)30 (7–72)0.2
Alvin Kamara RB8 (4–13)27 (6–70)0.2
Kendre Miller RB6 (3–10)19 (3–55)0.2
CJ Donaldson RB2 (0–4)4 (0–24)0.1

NO receiving

PlayerTargetsCatchesYardsRec TDs (avg)
Chris Olave WR8 (5–12)6 (3–9)48 (13–100)0.3
Juwan Johnson TE5 (2–8)3 (1–6)24 (2–66)0.2
Devaughn Vele WR5 (2–8)3 (1–6)24 (2–65)0.2
Noah Fant TE3 (1–6)2 (0–4)12 (0–44)0.1
Alvin Kamara RB3 (1–6)2 (0–4)12 (0–43)0.1
Kevin Austin Jr. WR2 (0–4)1 (0–3)6 (0–36)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
Aaron Jones Sr. RBMIN46.5%11.4%14.8%
Justin Jefferson WRMIN30.5%4.8%9.0%
Alvin Kamara RBNO29.4%4.3%8.2%
T.J. Hockenson TEMIN27.7%3.9%8.0%
Jordan Addison WRMIN26.6%3.5%7.6%
Chris Olave WRNO24.3%2.8%6.9%
Jordan Mason RBMIN21.2%2.3%5.9%
Kendre Miller RBNO18.6%1.5%4.8%
Devaughn Vele WRNO15.9%1.1%4.5%
Juwan Johnson TENO14.8%0.9%3.8%
Tyler Shough QBNO14.8%1.0%3.8%
Kyler Murray QBMIN13.6%1.0%3.5%
Noah Fant TENO10.2%0.4%2.6%
Kevin Austin Jr. WRNO7.0%0.3%1.7%
CJ Donaldson RBNO6.8%0.3%1.7%
Bryce Lance WRNO6.7%0.3%1.7%

First touchdown by team: MIN 56.3% · NO 42.8% · no offensive touchdown 0.9%. 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: MIN 22 – 17 NO

By quarter: MIN 10 / 6 / 0 / 6 · NO 0 / 14 / 0 / 3

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (MIN–NO)
1MIN65td7657–0
1NO60fg miss5407–0
1MIN67fg75010–0
1NO80td128010–7
2MIN75fg116213–7
2NO80td38013–14
2MIN75punt7713–14
2NO78turnover33313–14
2MIN68fg104716–14
2NO73fg miss73016–14
2NO65punt4-1016–14
3MIN80punt3-116–14
3NO54fg miss141516–14
3MIN42turnover12216–14
3NO77punt3016–14
3MIN72punt31816–14
3NO96turnover22916–14
3MIN62turnover111716–14
3NO47punt3916–14
4MIN99fg56019–14
4NO73punt3219–14
4MIN68punt3319–14
4NO90fg127919–17
4MIN80fg64222–17
4NO77end half92322–17
Representative simulation — not the forecast high scoring: MIN 31 – 26 NO

By quarter: MIN 7 / 10 / 0 / 14 · NO 7 / 3 / 10 / 6

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (MIN–NO)
1MIN65td9657–0
1NO65td9657–7
1MIN77turnover4467–7
1NO58punt3157–7
1MIN99td119914–7
2NO73punt6-114–7
2MIN62punt3914–7
2NO92punt33114–7
2MIN82punt3814–7
2NO38fg7414–10
2MIN65fg55617–10
2NO74fg44617–13
3MIN68punt3117–13
3NO65fg miss22817–13
3MIN50punt3717–13
3NO93td59317–20
3MIN80turnover22117–20
3NO36td113617–26
4MIN65td56524–26
4NO80punt6924–26
4MIN45td64531–26
4NO69end half133131–26
Representative simulation — not the forecast low scoring: MIN 15 – 10 NO

By quarter: MIN 0 / 3 / 3 / 9 · NO 3 / 0 / 7 / 0

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (MIN–NO)
1MIN65punt6150–0
1NO97fg miss11690–0
1MIN64turnover200–0
1NO29fg1470–3
1MIN60punt3180–3
1NO89punt450–3
1MIN46fg1153–3
2NO70punt413–3
2MIN89punt7313–3
2NO89fg miss11513–3
2NO65td10653–10
3MIN68fg6636–10
3NO78turnover6566–10
3MIN83td48312–10
4NO79turnover15412–10
4MIN39turnover32612–10
4NO84punt7212–10
4MIN59fg94515–10
4NO67turnover6915–10
4MIN48end half1-215–10

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
Generated2026-10-08 00:46 UTC · before kickoff 2026-10-11 17:00 UTC
Seed8a80ecc0 · per-run mulberry32 seeded by splitmix(baseSeed, runIndex); baseSeed = fnv1a64(engine|eventId|inputHash)
Team strengthforecast receipt total.median 40 / margin.median -5 (nfl-regular-season-public-v1@v2) · calibrated means NO 17.62 / MIN 22.43
Availabilityinjuries@2026-10-08T00:43:59Z+rosters@2026-10-08T00:43:59Z
MarketNot used as an input
Receiptnfl-sim-v2:401872987:c449122565fab16b

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.