MIL @ CINGreat American Ball Park · 12:10 PM ET
No sim
This game had already started when the slate was generated, so no pregame simulation exists for it.
Explore this simulation →Simulate
Choose a sport and a date, then open the event’s report. 14 of 15 events on this slate have a simulation report ready; every other state says exactly what it is.
MLB15 events
ATL @ PHI1:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsCitizens Bank ParkView Simulation →BOS @ BAL1:35 PM ETSimulation readyMoneylineRun lineTotalPlayer propsOriole Park at Camden YardsView Simulation →LAA @ PIT1:35 PM ETSimulation readyMoneylineRun lineTotalPlayer propsPNC ParkView Simulation →DET @ CLE1:40 PM ETSimulation readyMoneylineRun lineTotalPlayer propsProgressive FieldView Simulation →SF @ NYM1:40 PM ETSimulation readyMoneylineRun lineTotalPlayer propsCiti FieldView Simulation →CHC @ MIA1:40 PM ETSimulation readyMoneylineRun lineTotalPlayer propsloanDepot parkView Simulation →AZ @ HOU2:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsDaikin ParkView Simulation →TOR @ KC2:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsKauffman StadiumView Simulation →TB @ TEX2:35 PM ETSimulation readyMoneylineRun lineTotalPlayer propsGlobe Life FieldView Simulation →STL @ COL3:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsCoors FieldView Simulation →ATH @ SEA4:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsT-Mobile ParkView Simulation →NYY @ SD4:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsPetco ParkView Simulation →MIN @ CWS6:20 PM ETSimulation readyMoneylineRun lineTotalPlayer propsRate FieldView Simulation →WSH @ LAD10:10 PM ETSimulation readyMoneylineRun lineTotalPlayer propsUNIQLO Field at Dodger StadiumView Simulation →
Premier League0 events
No Premier League fixtures on this date.
UFC0 events
No UFC card on this date.
NFL0 events
No NFL games on this date.
NBA0 events
Off-season · schedules return with the new season. Browse schedules →
How to read a simulationpaper-only · educational
- Market-implied
- A read taken straight from the de-vigged betting line — not a simulation.For soccer and full-game markets we show the market's own probability (vig removed). It is labelled 'market-implied' precisely because it is NOT an independent model or a run-count simulation.
- Simulation
- A seeded Monte-Carlo run over the published inputs (e.g. 10,000 runs).For MLB player props we sample the published projections thousands of times to get a distribution. The run count is read from the artifact, never hardcoded. Our internal FULL-GAME sim is market-anchored (its point estimates equal the market by construction) — it is not an independent edge over the line.
- Model %
- Our model's estimated chance the outcome happens.The probability our model assigns to a result (e.g. a batter getting a hit). It comes from the model's inputs, not from the sportsbook. Shown only where a real model artifact backs it — never invented.
- Paper-only
- Everything here is educational tracking with $0 real money at stake.GameTime Picks places no real bets. Products, cards, and the bankroll are paper: results are tracked transparently to test the model. Nothing on the site is a wager or betting advice.
Simulation Explorer
Sep 6 slate · 2026-09-06 · outcomes and player impactSort
ATL @ PHICitizens Bank Park · 1:10 PM ET
10,000 sims
PredictionATL moneyline
51%5,110 / 10,000 games
StartersTyler Mahle (ATL)Aaron Nola (PHI)
Win countsATL 5,110 · PHI 4,890
Most likely scoreATL 2 – 3 PHI390 / 10,000 games
Total runsmedian 7p10–p90 3–13 · extras 11%
Simulation story
ATL wins 51% of simulations.
Most common outcome: ATL 2 – PHI 3 (390 / 10,000 simulations).
This matchup is relatively close: 32% of simulations finish within one run.
Biggest player factor: Bryce Harper OVER 0.5 Hits — 7,870 / 10,000 simulations.
Player impact
Explore this simulation →Bryce HarperPHI vs ATL
OVER 0.5 Hits79%7,870 / 10,000 games
Sean MurphyATL vs PHI
OVER 0.5 Hits + Runs + RBIs78%7,760 / 10,000 games
BOS @ BALOriole Park at Camden Yards · 1:35 PM ET
10,000 sims
PredictionBOS moneyline
54%5,410 / 10,000 games
StartersPayton Tolle (BOS)Kyle Bradish (BAL)
Win countsBOS 5,410 · BAL 4,590
Most likely scoreBOS 3 – 4 BAL380 / 10,000 games
Total runsmedian 7p10–p90 3–13 · extras 12%
Simulation story
BOS wins 54% of simulations.
Most common outcome: BOS 3 – BAL 4 (380 / 10,000 simulations).
This matchup is relatively close: 32% of simulations finish within one run.
Biggest player factor: Coby Mayo OVER 0.5 Hits + Runs + RBIs — 8,050 / 10,000 simulations.
Player impact
Explore this simulation →Coby MayoBAL vs BOS
OVER 0.5 Hits + Runs + RBIs81%8,050 / 10,000 games
Trevor StoryBOS vs BAL
OVER 0.5 Hits80%8,010 / 10,000 games
LAA @ PITPNC Park · 1:35 PM ET
10,000 sims
PredictionPIT moneyline
61%6,070 / 10,000 games
StartersWalbert Ureña (LAA)Paul Skenes (PIT)
Win countsLAA 3,930 · PIT 6,070
Most likely scoreLAA 2 – 3 PIT400 / 10,000 games
Total runsmedian 7p10–p90 3–13 · extras 11%
Simulation story
PIT wins 61% of simulations.
Most common outcome: LAA 2 – PIT 3 (400 / 10,000 simulations).
This matchup is relatively close: 31% of simulations finish within one run.
Biggest player factor: Wade Meckler OVER 0.5 Hits + Runs + RBIs — 8,080 / 10,000 simulations.
Player impact
Explore this simulation →Wade MecklerLAA vs PIT
OVER 0.5 Hits + Runs + RBIs81%8,080 / 10,000 games
Wade MecklerLAA vs PIT
OVER 0.5 Hits74%7,430 / 10,000 games
CHC @ MIAloanDepot park · 1:40 PM ET
10,000 sims
PredictionCHC moneyline
70%6,980 / 10,000 games
StartersClay Holmes (CHC)Tyler Phillips (MIA)
Win countsCHC 6,980 · MIA 3,020
Most likely scoreCHC 3 – 4 MIA250 / 10,000 games
Total runsmedian 9p10–p90 4–15 · extras 9%
Simulation story
CHC wins 70% of simulations.
Most common outcome: CHC 3 – MIA 4 (250 / 10,000 simulations).
25% of simulations finish within one run.
Biggest player factor: Javier Sanoja OVER 0.5 Hits — 7,730 / 10,000 simulations.
Player impact
Explore this simulation →Javier SanojaMIA vs CHC
OVER 0.5 Hits77%7,730 / 10,000 games
Michael ConfortoCHC vs MIA
OVER 0.5 Hits + Runs + RBIs75%7,500 / 10,000 games
DET @ CLEProgressive Field · 1:40 PM ET
10,000 sims
PredictionCLE moneyline
52%5,230 / 10,000 games
StartersJackson Jobe (DET)Gavin Williams (CLE)
Win countsDET 4,770 · CLE 5,230
Most likely scoreDET 1 – 2 CLE470 / 10,000 games
Total runsmedian 6p10–p90 2–11 · extras 12%
Simulation story
CLE wins 52% of simulations.
Most common outcome: DET 1 – CLE 2 (470 / 10,000 simulations).
This matchup is relatively close: 35% of simulations finish within one run.
Biggest player factor: Riley Greene OVER 0.5 Hits + Runs + RBIs — 7,880 / 10,000 simulations.
Player impact
Explore this simulation →Riley GreeneDET vs CLE
OVER 0.5 Hits + Runs + RBIs79%7,880 / 10,000 games
Patrick BaileyCLE vs DET
OVER 0.5 Hits + Runs + RBIs78%7,800 / 10,000 games
SF @ NYMCiti Field · 1:40 PM ET
10,000 sims
PredictionNYM moneyline
51%5,070 / 10,000 games
StartersCesar Perdomo (SF)Christian Scott (NYM)
Win countsSF 4,930 · NYM 5,070
Most likely scoreSF 2 – 3 NYM420 / 10,000 games
Total runsmedian 7p10–p90 3–12 · extras 12%
Simulation story
NYM wins 51% of simulations.
Most common outcome: SF 2 – NYM 3 (420 / 10,000 simulations).
This matchup is relatively close: 34% of simulations finish within one run.
Biggest player factor: Rafael Devers OVER 0.5 Hits — 8,120 / 10,000 simulations.
Player impact
Explore this simulation →Rafael DeversSF vs NYM
OVER 0.5 Hits81%8,120 / 10,000 games
Christian KossSF vs NYM
OVER 0.5 Hits + Runs + RBIs78%7,790 / 10,000 games
AZ @ HOUDaikin Park · 2:10 PM ET
10,000 sims
PredictionAZ moneyline
53%5,330 / 10,000 games
StartersEduardo Rodriguez (AZ)Peter Lambert (HOU)
Win countsAZ 5,330 · HOU 4,670
Most likely scoreAZ 2 – 3 HOU400 / 10,000 games
Total runsmedian 7p10–p90 3–12 · extras 12%
Simulation story
AZ wins 53% of simulations.
Most common outcome: AZ 2 – HOU 3 (400 / 10,000 simulations).
This matchup is relatively close: 33% of simulations finish within one run.
Biggest player factor: Ketel Marte OVER 0.5 Hits — 7,400 / 10,000 simulations.
Player impact
Explore this simulation →Ketel MarteAZ vs HOU
OVER 0.5 Hits74%7,400 / 10,000 games
Tim TawaAZ vs HOU
OVER 0.5 Hits + Runs + RBIs70%6,990 / 10,000 games
TOR @ KCKauffman Stadium · 2:10 PM ET
10,000 sims
PredictionTOR moneyline
57%5,720 / 10,000 games
StartersSpencer Arrighetti (TOR)Randy Dobnak (KC)
Win countsTOR 5,720 · KC 4,280
Most likely scoreTOR 1 – 2 KC340 / 10,000 games
Total runsmedian 7p10–p90 3–13 · extras 11%
Simulation story
TOR wins 57% of simulations.
Most common outcome: TOR 1 – KC 2 (340 / 10,000 simulations).
This matchup is relatively close: 31% of simulations finish within one run.
Biggest player factor: Randy Dobnak OVER 2.5 Strikeouts — 8,780 / 10,000 simulations.
Player impact
Explore this simulation →Randy DobnakKC vs TOR
OVER 2.5 Strikeouts88%8,780 / 10,000 games
Brett BatemanTOR vs KC
OVER 1.5 Hits + Runs + RBIs76%7,560 / 10,000 games
TB @ TEXGlobe Life Field · 2:35 PM ET
10,000 sims
PredictionTEX moneyline
54%5,370 / 10,000 games
StartersIan Seymour (TB)MacKenzie Gore (TEX)
Win countsTB 4,630 · TEX 5,370
Most likely scoreTB 2 – 3 TEX420 / 10,000 games
Total runsmedian 7p10–p90 3–12 · extras 12%
Simulation story
TEX wins 54% of simulations.
Most common outcome: TB 2 – TEX 3 (420 / 10,000 simulations).
This matchup is relatively close: 33% of simulations finish within one run.
Biggest player factor: Cody Freeman OVER 0.5 Hits + Runs + RBIs — 7,480 / 10,000 simulations.
Player impact
Explore this simulation →Cody FreemanTEX vs TB
OVER 0.5 Hits + Runs + RBIs75%7,480 / 10,000 games
Taylor WallsTB vs TEX
OVER 0.5 Hits + Runs + RBIs74%7,420 / 10,000 games
STL @ COLCoors Field · 3:10 PM ET
10,000 sims
PredictionCOL moneyline
60%5,980 / 10,000 games
StartersKyle Leahy (STL)Tanner Gordon (COL)
Win countsSTL 4,020 · COL 5,980
Most likely scoreSTL 2 – 3 COL400 / 10,000 games
Total runsmedian 7p10–p90 3–13 · extras 11%
Simulation story
COL wins 60% of simulations.
Most common outcome: STL 2 – COL 3 (400 / 10,000 simulations).
This matchup is relatively close: 31% of simulations finish within one run.
Biggest player factor: Bryan Torres UNDER 1.5 Hits — 8,050 / 10,000 simulations.
Player impact
Explore this simulation →Bryan TorresSTL vs COL
UNDER 1.5 Hits81%8,050 / 10,000 games
Alec BurlesonSTL vs COL
UNDER 1.5 Hits76%7,610 / 10,000 games
ATH @ SEAT-Mobile Park · 4:10 PM ET
10,000 sims
PredictionATH moneyline
57%5,660 / 10,000 games
StartersGage Jump (ATH)Bryan Woo (SEA)
Win countsATH 5,660 · SEA 4,340
Most likely scoreATH 2 – 3 SEA340 / 10,000 games
Total runsmedian 8p10–p90 3–14 · extras 11%
Simulation story
ATH wins 57% of simulations.
Most common outcome: ATH 2 – SEA 3 (340 / 10,000 simulations).
30% of simulations finish within one run.
Biggest player factor: Zack Gelof OVER 0.5 Hits — 7,430 / 10,000 simulations.
Player impact
Explore this simulation →Zack GelofATH vs SEA
OVER 0.5 Hits74%7,430 / 10,000 games
Alika WilliamsATH vs SEA
OVER 0.5 Hits69%6,910 / 10,000 games
NYY @ SDPetco Park · 4:10 PM ET
10,000 sims
PredictionSD moneyline
51%5,090 / 10,000 games
StartersGerrit Cole (NYY)Michael King (SD)
Win countsNYY 4,910 · SD 5,090
Most likely scoreNYY 3 – 4 SD370 / 10,000 games
Total runsmedian 7p10–p90 3–13 · extras 11%
Simulation story
SD wins 51% of simulations.
Most common outcome: NYY 3 – SD 4 (370 / 10,000 simulations).
This matchup is relatively close: 32% of simulations finish within one run.
Biggest player factor: Ben Rice OVER 0.5 Hits — 8,040 / 10,000 simulations.
Player impact
Explore this simulation →Ben RiceNYY vs SD
OVER 0.5 Hits80%8,040 / 10,000 games
Jazz Chisholm Jr.NYY vs SD
OVER 0.5 Hits + Runs + RBIs79%7,850 / 10,000 games
MIN @ CWSRate Field · 6:20 PM ET
10,000 sims
PredictionMIN moneyline
66%6,570 / 10,000 games
StartersBailey Ober (MIN)Bryan Hudson (CWS)
Win countsMIN 6,570 · CWS 3,430
Most likely scoreMIN 2 – 3 CWS300 / 10,000 games
Total runsmedian 8p10–p90 3–14 · extras 10%
Simulation story
MIN wins 66% of simulations.
Most common outcome: MIN 2 – CWS 3 (300 / 10,000 simulations).
27% of simulations finish within one run.
Biggest player factor: Josh Bell OVER 1.5 Hits + Runs + RBIs — 6,780 / 10,000 simulations.
Player impact
Explore this simulation →Josh BellMIN vs CWS
OVER 1.5 Hits + Runs + RBIs68%6,780 / 10,000 games
Luke KeaschallMIN vs CWS
OVER 1.5 Hits + Runs + RBIs66%6,630 / 10,000 games
WSH @ LADUNIQLO Field at Dodger Stadium · 10:10 PM ET
10,000 sims
PredictionLAD moneyline
52%5,210 / 10,000 games
StartersAndrew Alvarez (WSH)Justin Wrobleski (LAD)
Win countsWSH 4,790 · LAD 5,210
Most likely scoreWSH 2 – 3 LAD440 / 10,000 games
Total runsmedian 7p10–p90 3–12 · extras 12%
Simulation story
LAD wins 52% of simulations.
Most common outcome: WSH 2 – LAD 3 (440 / 10,000 simulations).
This matchup is relatively close: 33% of simulations finish within one run.
Biggest player factor: Jacob Young OVER 0.5 Hits + Runs + RBIs — 7,440 / 10,000 simulations.
Player impact
Explore this simulation →Jacob YoungWSH vs LAD
OVER 0.5 Hits + Runs + RBIs74%7,440 / 10,000 games
Miguel RojasLAD vs WSH
UNDER 1.5 Hits + Runs + RBIs69%6,850 / 10,000 games
Frequencies are the share of simulated games an outcome occurred in. Predictions are the simulation’s directional read — not a bet, and not a claim to out-perform the book.
What we simulate — and what we don’t (yet)
Every market we cover, plus the ones we don’t — with the exact reason (provider feed, settlement, or validation). We never show a market we can’t back with real data.
MLBmarket-anchored + 10k player-prop sim
MoneylineSupported
De-vigged sportsbook moneyline. Settled from the official box score.
Run lineSupported
De-vigged run line. Settled from the official final score.
Total (O/U)Supported
De-vigged total. Settled from the official final score.
Player props (K / hits / TB)Conditional
Strikeouts / hits / total bases projected from game logs vs the line; a 10,000-run prop sim is shown only where the artifact exists. Settled from the official box score.
Full-game score simulationExperimental
Full-game outcomes are currently MARKET-IMPLIED (from the de-vigged lines), not an independent score simulation. An independent, backtested sim is on the roadmap — not claimed until validated.
Team totalsSettlement blocked
Team totals can be read from odds but are not yet settlement-validated, so they stay out of product cards until grading is proven.
Settlement: pending · needs: Odds API team-total lines, team-total settlement source
First 5 innings (F5)Coming soon
First-5-innings markets are planned; they need the F5 line feed and inning-level settlement.
Settlement: pending · needs: Odds API F5 lines, F5 settlement (linescore innings 1-5)
NFLexperimental 10k preseason score simulation — not product-eligible
Projected scoreExperimental
10,000 simulations of the final score per game. Early model: on a season it had never seen it picked winners no better than a coin flip, so win percentages stay near even and it is never presented as sharper than the sportsbook price.
Win chanceExperimental
Read from the same simulation as the projected score, so the two can never disagree. Experimental — never a validated pick.
Total pointsExperimental
Median and likely range from the same 10,000 runs, shown beside the sportsbook total for context.
Sportsbook pricesSupported
The books' own moneyline, spread and total with the margin removed, captured before kickoff and attributed. Not a GameTimePicks prediction.
Anytime touchdownSettlement blocked
The scoring model is calibrated, but nobody publishes preseason playing time and the books offer no touchdown market for these games — so it appears as a watchlist, never a card.
Settlement: pending · needs: current role evidence, an offered touchdown market
Passing / rushing / receivingProvider needed
Withheld: no source publishes who dresses for a preseason game or how much they play, so a projection would be invented rather than measured.
Settlement: pending · needs: event-bound player availability, an offered player market
Soccermarket-implied 90' read — no live tournament right now
Match result (1X2)Supported
De-vigged 90-minute 3-way. Market-implied read (not an independent soccer sim). Settled on the 90' result (ET/pens do not count for 90' markets).
Double chanceSupported
Derived from the de-vigged 3-way. Settled on the 90' result.
Draw no betSupported
Derived from the de-vigged 3-way. Settled on the 90' result.
Total goalsSupported
De-vigged goal total where odds exist. Settled on the 90' score.
Both teams to scoreSupported
De-vigged BTTS where odds exist. Settled on the 90' score.
Asian handicapConditional
Shown as a market read where odds exist; full product eligibility needs AH push/half-win settlement.
Settlement: pending · needs: Odds API AH lines, AH settlement (push/half-win)
Anytime goalscorerExperimental
LIVE as a market-implied read from real Odds API prices. Grading is built + validated deterministically on real finished-match data, but LIVE settlement is blocked — the API-Football key is a free plan with no 2026-season stats. Educational only; never in a product card until settlement runs.
Settlement: unsupported · needs: paid API-Football plan (2026 season access), lineup confirmation
Shots / shots on target / assistsExperimental
LIVE as a market-implied read from real Odds API prices. Deterministic grading is built + validated on real finished-match stats; LIVE settlement is blocked by the free API-Football plan (no 2026-season access). Educational only; never product-eligible until settlement runs.
Settlement: unsupported · needs: paid API-Football plan (2026 season access), lineup confirmation
Corners / cardsProvider needed
Not offered — needs a set-piece/discipline feed + settlement. On the roadmap.
Settlement: unsupported · needs: Corners/cards odds provider, match-event settlement source
Correct scoreProvider needed
Not offered — a market-implied read can't price a full scoreline grid honestly without a real model + odds.
Settlement: unsupported · needs: Correct-score odds, independent scoreline model
UFCexperimental — market-implied, not product-eligible
Moneyline (winner)Experimental
Market-implied winner read where odds exist. EXPERIMENTAL — excluded from Bank Builder / Moonshot until the model clears its validation threshold.
Settlement: pending · needs: Odds API MMA moneyline
Method of victoryExperimental
An experimental fighter-data read, NOT odds-backed. Shown for education only; not a priced market and never in a product card.
Settlement: unsupported · needs: Method odds feed, fighter finish/decision data
Round / goes the distanceProvider needed
Not offered — needs a round/distance odds feed. Never faked.
Settlement: unsupported · needs: Round & distance odds feed, round-level settlement
9 supported · 5 need a provider/build · settlement-blocked + experimental markets are never in Bank Builder / Moonshot.