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Educational analyticsNot betting advice · research use only.
GameTime Picks

NFL · CIN @ MIA · Simulation

Cincinnati Bengals at Miami Dolphins

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

CIN 21 — 25 MIA · win chance CIN 41.0% · MIA 56.3% · total 46

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

Game outcome · Simulation V2

39.5%CIN win in the simulated games
60.0%MIA win in the simulated games
0.5%tie after overtime
3.2%game goes to overtime
CIN 21 – 24 MIAmedian score · averages 21.18 – 24.81
45median total · 80% of games 30–63
MIA by 4median margin · 80% range: CIN by 14 to MIA by 21
44.8%one-score game (decided by 8 or fewer)
8.4% · 6.8%decided by exactly 3 · by exactly 7

Score distribution

Final margin: MIA points minus CIN points (below 0 means CIN won). Bars group 3 points; the solid bar holds the median (4). Range shown -51 to 63.
Final total points. Bars group 4 points; the solid bar holds the median (45). Range shown 0 to 100.

Each team's score

TeamLow (10th)MedianHigh (90th)Average
CIN10213421.18
MIA13243724.81

Quarters and halves

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

PeriodCIN median (80%)MIA median (80%)Both teams (80%)CIN wins itMIA wins itLevel
Q13 (0–10)6 (0–13)10 (3–17)36.5%45.6%17.9%
Q27 (0–14)7 (0–14)13 (6–23)38.4%49.1%12.5%
Q33 (0–10)6 (0–13)10 (3–17)36.0%45.3%18.7%
Q46 (0–13)7 (0–14)11 (3–21)36.3%47.0%16.7%
1st half10 (3–20)13 (3–22)23 (13–36)39.8%53.7%6.5%
2nd half10 (3–19)11 (3–21)21 (10–34)38.5%52.6%8.8%

Team box · median (80% range)

StatCINMIA
Drives11 (9–13)11 (9–13)
Plays62 (50–75)63 (51–76)
Pass attempts34 (25–44)33 (25–43)
Completions23 (16–31)21 (15–29)
Passing yards212 (128–308)211 (127–308)
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 yards109 (52–186)130 (65–214)
Rushing TDs1 (0–2)1 (0–2)
Field goals made1 (0–3)2 (0–3)

Touchdowns per team

Touchdowns012345+
CIN7.8%22.9%30.0%23.8%11.4%4.3%
MIA3.9%16.4%27.3%26.8%16.8%8.9%

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.

CIN passing

PlayerAttemptsCompletionsYardsTDs (avg)INTs (avg)
Joe Burrow QB34 (25–44)23 (16–31)212 (128–308)1.40.9

CIN rushing

PlayerCarriesYardsRush TDs (avg)
Chase Brown RB14 (9–21)59 (22–118)0.5
Joe Burrow QB5 (2–8)20 (3–56)0.1
Samaje Perine RB4 (1–7)13 (1–42)0.1
Tahj Brooks RB0 (0–1)0 (0–7)0.0

CIN receiving

PlayerTargetsCatchesYardsRec TDs (avg)
Tee Higgins WR7 (4–11)4 (2–8)42 (9–95)0.3
Ja'Marr Chase WR6 (3–10)4 (2–7)34 (7–81)0.3
Chase Brown RB4 (2–7)3 (1–6)20 (2–57)0.2
Mike Gesicki TE3 (1–6)2 (0–4)16 (0–54)0.1
Dohnte Meyers WR3 (1–5)2 (0–4)13 (0–46)0.1
Mitchell Tinsley WR3 (1–5)2 (0–3)10 (0–43)0.1

MIA passing

PlayerAttemptsCompletionsYardsTDs (avg)INTs (avg)
Malik Willis QB29 (21–38)18 (13–25)181 (105–274)1.50.6

MIA rushing

PlayerCarriesYardsRush TDs (avg)
Ollie Gordon II RB11 (6–16)50 (17–106)0.4
Malik Willis QB7 (4–12)37 (11–82)0.2
Jaylen Wright RB6 (3–9)20 (3–57)0.2
Malik Washington WR2 (0–4)4 (0–24)0.1

MIA receiving

PlayerTargetsCatchesYardsRec TDs (avg)
Malik Washington WR8 (5–12)5 (3–9)50 (14–106)0.4
Greg Dulcich TE5 (2–8)3 (1–6)27 (3–73)0.3
Chris Bell WR4 (2–8)2 (1–5)22 (0–64)0.2
Kevin Coleman Jr. WR5 (2–8)3 (1–5)20 (0–61)0.2
DJ Herman FB3 (1–6)2 (0–4)15 (0–53)0.2
Will Kacmarek TE2 (0–4)1 (0–3)8 (0–39)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
Chase Brown RBCIN50.0%14.5%13.2%
Ollie Gordon II RBMIA41.7%9.8%11.1%
Malik Washington WRMIA40.4%8.8%10.5%
Tee Higgins WRCIN26.1%3.4%6.3%
Ja'Marr Chase WRCIN23.1%2.4%5.4%
Greg Dulcich TEMIA22.1%2.5%5.2%
Kevin Coleman Jr. WRMIA21.7%2.4%5.1%
Malik Willis QBMIA21.6%2.3%4.7%
Jaylen Wright RBMIA20.9%2.2%4.9%
Chris Bell WRMIA20.7%2.3%4.7%
Samaje Perine RBCIN18.3%1.9%4.2%
DJ Herman FBMIA15.3%1.3%3.5%
Mike Gesicki TECIN12.6%0.8%2.9%
Dohnte Meyers WRCIN11.9%0.7%2.4%
Joe Burrow QBCIN11.9%0.7%2.5%
Mitchell Tinsley WRCIN11.0%0.5%2.2%

First touchdown by team: CIN 44.9% · MIA 54.8% · no offensive touchdown 0.4%. 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: CIN 21 – 25 MIA

By quarter: CIN 7 / 7 / 7 / 0 · MIA 6 / 0 / 5 / 14

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (CIN–MIA)
1MIA72fg6580–3
1CIN72td6727–3
1MIA72fg7717–6
1CIN77punt3197–6
1MIA88punt11117–6
2CIN56punt617–6
2MIA84turnover6407–6
2CIN53td125314–6
2CIN66td46621–6
3MIA71downs96621–6
3CIN95safety3-521–8
3MIA57fg92021–11
3CIN65punt7121–11
4MIA76td17621–18
4CIN70punt31421–18
4MIA87td148721–25
4CIN69downs82421–25
4MIA55end half14921–25
Representative simulation — not the forecast high scoring: CIN 30 – 33 MIA

By quarter: CIN 0 / 16 / 7 / 7 · MIA 13 / 0 / 13 / 7

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (CIN–MIA)
1MIA76punt780–0
1CIN55turnover1390–0
1MIA84td6840–7
1CIN63punt330–7
1MIA99td8990–13
1CIN73td7737–13
2MIA71punt317–13
2CIN67fg45510–13
2MIA69punt42110–13
2CIN81fg45413–13
2MIA70punt3113–13
2CIN68fg105016–13
2CIN66td26623–13
3MIA66punt3-623–13
3CIN85turnover34923–13
3MIA66td66623–19
3CIN65punt3723–19
3MIA76td67623–26
3CIN60punt3923–26
3MIA94punt3223–26
4CIN58punt3823–26
4MIA99td59923–33
4CIN72td47230–33
4MIA65punt32230–33
4CIN99punt3930–33
4MIA44end half1-330–33
Representative simulation — not the forecast low scoring: CIN 13 – 17 MIA

By quarter: CIN 0 / 6 / 0 / 7 · MIA 0 / 14 / 0 / 3

QtrOffenseStart (yds to goal)ResultPlaysYardsScore after (CIN–MIA)
1MIA72punt8310–0
1CIN99downs7600–0
1MIA77punt5170–0
1CIN50fg10353–0
2MIA65downs6383–0
2CIN73punt3243–0
2MIA86td9863–7
2CIN89punt3183–7
2MIA74td3743–14
2CIN65fg7596–14
2CIN70punt366–14
3MIA70punt566–14
3CIN70punt3136–14
3MIA71punt3126–14
3CIN79punt566–14
3MIA62turnover4246–14
3CIN61turnover5436–14
3MIA90fg9636–17
4CIN78punt316–17
4MIA61punt316–17
4CIN75td107513–17
4MIA63end half71713–17

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
Generated2026-10-10 00:32 UTC · before kickoff 2026-10-11 17:00 UTC
Seed03c52a2c · per-run mulberry32 seeded by splitmix(baseSeed, runIndex); baseSeed = fnv1a64(engine|eventId|inputHash)
Team strengthforecast receipt total.median 46 / margin.median 4 (nfl-regular-season-public-v1@v2) · calibrated means MIA 25.06 / CIN 21.15
Availabilityinjuries@2026-10-10T00:30:27Z+rosters@2026-10-10T00:30:27Z
MarketNot used as an input
Receiptnfl-sim-v2:401872982:0d122cd15015f1e2

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.