The Challenge

The Dice Control Challenge: Prove It On the Numbers

Dice Lab · Craps@Home

If you're a dice influencer, a sharpshooter, a rhythm roller, or you just run a tight set and believe it matters — here's an open invitation. Track your sessions with Craps@Home, let PRO Sight run the statistics and generate your report. We'll publish the results. No editing, no cherry-picking, your dice set posted alongside the numbers.

We're not trying to call anyone out. We built the analytics — SRR, chi-squared distribution testing, and survival curve analysis — because this debate deserves better than anecdotes on either side. If dice control is real, this is a chance to demonstrate it with a large enough sample that nobody can wave it off as a hot streak.

How it works

More than just SRR

SRR, chi-squared testing, and survival curves get top billing because they're the cleanest way to test whether a shooter is beating random chance overall — but the PRO Sight report doesn't stop there. It also breaks down performance on favorable numbers and hardways: whether a shooter is hitting the place numbers and hard combinations (hard four, hard six, hard eight, hard ten) more often than pure chance predicts, not just avoiding sevens.

That matters because a lot of dice-set methods are built around a specific target, not just "avoid the seven" in general — a set aimed at controlling for hardways is a different claim than one aimed at overall SRR, and the full report is built to speak to both. If a particular dice set is genuinely doing something, the report is where that would show up in the specific numbers it was built to influence, not just the headline stats.

What "passing" actually looks like

To be blunt about it: a single good session isn't evidence, in either direction. What we're looking for is a distribution of outcomes — across enough rolls — that would be statistically unlikely to occur by chance alone. That's a real, calculable bar, not a vibe, and it's exactly what chi-squared testing exists to check.

Why 100 hands as the floor? A typical hand runs somewhere around 8 to 9 rolls on average, so 100 hands works out to roughly 800-900 rolls — enough that every possible dice total (2 through 12) shows up often enough for a statistically valid chi-squared test, and enough rolls of the dice overall to start separating a real, modest edge from an ordinary hot streak. It's not a magic number — a submission with 300 hands carries more statistical weight than one with exactly 100 — but it's a reasonable floor below which the numbers just aren't trustworthy yet.

It's also worth saying plainly: most submissions, if history and prior research on dice control are any guide, will land within the range random chance produces. That's not a loss — it's the point of running an honest test instead of trusting anecdotes. And if a submission does clear that bar consistently across sessions, that's genuinely interesting, and we'll say so.

Why bother?

If you believe in it: this is real proof, published transparently, instead of another highlight reel of good hands. No course to sell, no reputation to protect on our end — just the numbers, in public, with the methodology attached.

If you don't: you don't need to submit anything. The next time someone claims they can influence the dice, send them here. Either they take the challenge and the numbers speak for themselves, or they don't — and that's telling too.

If you're just curious: track your own sessions and see what your numbers actually look like. No stake in the debate required — most people have never seen their real SRR or distribution laid out, believer or not.

And for us: it's exactly what PRO Sight was built to do. Every submission, whatever it shows, is another real data point in a debate that's mostly run on anecdote so far.

Ready to put it to the test?

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