You describe your system and I code it in the DiceData Engine, run it with 100,000 bots, and share the results with you. I'll answer your questions along the way.
Checkout first, then a short form asks how the system plays.
A private page with the full Vault treatment, plus this row: ranked against the public catalog, visible only to the buyer.
Same system. 100,000 different outcomes.
The math on any way of playing stops at a house edge and an expected value. Both true, neither says what a night can actually win, what it can actually lose, or what the ride in between feels like. A simulation does: it plays the thing out, 100,000 times.
Averages across millions of rolls. No single night ever lands on them.
Any single session could have gone another way. The report lines up all 100,000: the typical night, the best one, the worst bust, and how often each actually shows up.
Expected value is an average no single player ever actually banks. The report shows where sessions really land: how often the system wins, by how much, and what the ride is like.
A bot sits through the whole session one roll at a time. No skipping ahead, no cherry-picked hot streaks.
It places the bets like a player would: press on cue, regress on cue, hedge exactly when the rules say hedge.
Win goal, loss limit, session clock. When the system says walk, the bot walks.
Every system has a catch. Across 100,000 bots, it has nowhere to hide.
Six views of one run, published to a private page with the full Vault treatment. Test Drive (play the system live, bet by bet) and Compare (every system in one sortable board) come standard.
Ten rating dimensions, house edge to crash factor, plus a verdict for each kind of player: Paycheck, Jackpot, Comp, Tourist. Find out who the system is actually built for.
Play the exact spec against live dice before the full run.
The plain-English verdict: what the system does, who it fits, and where the catch hides. Written from the run, not the pitch.
One night is luck. 500 visits is the truth. See where the win rate lands after trip 10.
What the casino gives back for the action. Computed, not guessed.
The system, ranked against every one already evaluated. Only the buyer sees it. Share links available for a second opinion.
Specify the game, the steps, the bankroll (or discover the bankroll it needs), the win goal and the stop loss. I will clarify any questions with you before coding.
I build your exact logic in the DiceData Engine and test it roll by roll until it plays the way you described. You deal with me directly the whole way, not a form and a queue.
Your report lands on a private page: the win rate, what a typical night looks like next to a bad one, and how often each shows up. You pick your buy-in and walk-away points off a chart instead of a hunch.
Turnaround: Report live in 2-5 business days
Working with Matthew was easy.
“Working with Matthew was easy. I submitted my methodology, had a couple of back & forth e-mail exchanges to clarify, and in a short time, I received the results.
I learned that my new strategy was riskier than the methodology I have used for years.
My custom scenario was well worth the investment.”
Turnaround was incredibly quick.
“I commissioned Matthew to analyze a strategy I had been working on. Turnaround time was incredibly quick. Communication was easy and professional. Matthew asked insightful questions to help clarify the requirements.
His analysis will definitely help me fine tune my playing style.
I'm a very satisfied customer.”
A customer came in with a conservative strategy built for casino comps.
They expected a verdict on how cheaply it bought table time.
Their pressing rules gave the bots a small share of nights that ran to several times the starting bankroll.
The report put a number on how rare those nights were, which is the part no session at the table can show.
We iterated on a pressing strategy over several weeks.
Each version ran against the same dice as the last one.
The runs kept surfacing the same weak point, invisible from the table because it only cost money on one specific sequence.
The version they kept holds a lower house edge than the one they walked in with.
A player brought their modified Martingale.
They wanted it tested with the stop-loss limits they actually use.
The report showed how often the progression hit the table maximum, and what each reset cost when it did.
Adjusting the tier progression cut the expected loss rate substantially.
One system, described by you and coded by me, run through 100,000 bots and published to a private page.
This includes:
For work beyond a single run: head-to-head comparisons, iteration over multiple rounds, and research engagements.
This includes:
All simulation sales are final once the run is finalized. You can always reach me at hello@dicedata.info. Report live in 2-5 business days.
Not ready? See the strategies already in the vault, or build your own.
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