🎲🎲 craps simulator 💵
+-----------+ | hands.js | CLI entry point +-----------+ | v +-----------------------------------------------------+ | playHand() (index.js) | |-----------------------------------------------------| | • apply betting strategy from betting.js | | • roll dice via shoot()/rollD6 | | • settle bets with settle.all() from settle.js | +-----------------------------------------------------+ | | | v v v +---------+ +--------------+ +--------------+ | shoot() | | betting.js | | settle.js | | rollD6 | | strategies | | payout logic | +---------+ +--------------+ +--------------+
➜ node hands.js 1Simulating 1 Craps Hand(s)Dice Roll Distribution┌─────────┬────────┐│ (index) │ Values │├─────────┼────────┤│ 2 │ 0 ││ 3 │ 0 ││ 4 │ 0 ││ 5 │ 2 ││ 6 │ 2 ││ 7 │ 1 ││ 8 │ 3 ││ 9 │ 3 ││ 10 │ 1 ││ 11 │ 2 ││ 12 │ 0 │└─────────┴────────┘Session Summary┌────────────────┬────────┐│ (index) │ Values │├────────────────┼────────┤│ handCount │ 1 ││ rollCount │ 14 ││ pointsSet │ 3 ││ pointsWon │ 2 ││ comeOutWins │ 0 ││ comeOutLosses │ 0 ││ netComeOutWins │ 0 ││ neutrals │ 8 │└────────────────┴────────┘HandsHand: 1┌─────────┬──────┬──────┬─────────┬─────────────┬───────────┬───────┐│ (index) │ die1 │ die2 │ diceSum │ result │ isComeOut │ point │├─────────┼──────┼──────┼─────────┼─────────────┼───────────┼───────┤│ 0 │ 3 │ 6 │ 9 │ 'point set' │ false │ 9 ││ 1 │ 4 │ 5 │ 9 │ 'point win' │ true │ ││ 2 │ 3 │ 5 │ 8 │ 'point set' │ false │ 8 ││ 3 │ 3 │ 6 │ 9 │ 'neutral' │ false │ 8 ││ 4 │ 5 │ 5 │ 10 │ 'neutral' │ false │ 8 ││ 5 │ 3 │ 5 │ 8 │ 'point win' │ true │ ││ 6 │ 2 │ 6 │ 8 │ 'point set' │ false │ 8 ││ 7 │ 2 │ 3 │ 5 │ 'neutral' │ false │ 8 ││ 8 │ 1 │ 4 │ 5 │ 'neutral' │ false │ 8 ││ 9 │ 5 │ 6 │ 11 │ 'neutral' │ false │ 8 ││ 10 │ 2 │ 4 │ 6 │ 'neutral' │ false │ 8 ││ 11 │ 1 │ 5 │ 6 │ 'neutral' │ false │ 8 ││ 12 │ 5 │ 6 │ 11 │ 'neutral' │ false │ 8 ││ 13 │ 3 │ 4 │ 7 │ 'seven out' │ true │ │└─────────┴──────┴──────┴─────────┴─────────────┴───────────┴───────┘
constsimulateHands=require('./hands.js')constresult=simulateHands(1)console.log(result.sessionSummary)Run many trials to see how a strategy performs over time.
$ node monte-carlo.js 2 5 500 5 3-4-5Running 2 trials with 5 hand(s) each[table rules] minimum bet:$5, odds 3-4-5Trial Results┌─────────┬───────┬─────────┬───────┐│ (index) │ trial │ balance │ rolls │├─────────┼───────┼─────────┼───────┤│ 0 │ 1 │ 614 │ 65 ││ 1 │ 2 │ 416 │ 25 │└─────────┴───────┴─────────┴───────┘Final Balance Summary┌─────────┬────────┬────────┐│ (index) │ stat │ value │├─────────┼────────┼────────┤│ 0 │ min │ 416 ││ 1 │ p1 │ 416 ││ 2 │ p5 │ 416 ││ 3 │ p10 │ 416 ││ 4 │ p25 │ 416 ││ 5 │ p50 │ 416 ││ 6 │ mean │ 515 ││ 7 │ p75 │ 614 ││ 8 │ p90 │ 614 ││ 9 │ p95 │ 614 ││ 10 │ p99 │ 614 ││ 11 │ max │ 614 │└─────────┴────────┴────────┘stdDev: 140.0195% CI: [320.96, 709.04]Roll Count Summary┌─────────┬────────┬────────┐│ (index) │ stat │ value │├─────────┼────────┼────────┤│ 0 │ min │ 25 ││ 1 │ p1 │ 25 ││ 2 │ p5 │ 25 ││ 3 │ p10 │ 25 ││ 4 │ p25 │ 25 ││ 5 │ p50 │ 25 ││ 6 │ mean │ 45 ││ 7 │ p75 │ 65 ││ 8 │ p90 │ 65 ││ 9 │ p95 │ 65 ││ 10 │ p99 │ 65 ││ 11 │ max │ 65 │└─────────┴────────┴────────┘stdDev: 28.2895% CI: [5.80, 84.20]
The standard deviation shows how widely the trials vary around the mean.Roughly 68% of results will fall within one standard deviation, 95% withintwo, and 99.7% within three. The 95% confidence interval is a range that isexpected to contain the true mean in 95% of repeated samples.
playHand accepts arules object that controls minimum bets and odds limits.You can now also customize which numbers win or lose on the come out roll.
construles={minBet:5,maxOddsMultiple:{/* ... */},comeOutWin:[7,11],comeOutLoss:[2,3,12]// default}playHand also accepts abalance option to specify the starting amount for ahand. It defaults to0.
For example, to make boxcars (12) a come out win instead of a loss:
construles={comeOutLoss:[2,3],comeOutWin:[7,11,12]}I like to play craps sometimes. I have a handful of strategies I like to play. It is time consuming to play in an app. I'd like to play 5, 50, 500 hands very fast using various strategies. Which strategies are best is well understood, the variability comes in with how aggressive your strategies are and the level of risk you assume at any given moment. And of course the dice outcomes and their deviation from long term probabilities and how they interact with the strategies you employ is the fun part. This simulator lets me scratch my craps itch very quickly.
git clone git@github.com:tphummel/node-craps.gitcd node-crapsnpm inpm t