Roll History Analyzer: Statistical Breakdown of Real Rolls
Jake WilfredYou kept track of 200 rolls at the table last weekend. Now what? The Roll History Analyzer turns that raw data into something meaningful.
- Paste real roll sequences and get full statistical analysis
- Distribution heatmaps show which numbers are overrepresented or underrepresented
- Streak detection identifies hot and cold runs
- Chi-square tests check whether your rolls are statistically normal
What You Can Analyze
Paste a sequence of dice totals (or individual die faces if you tracked them) and the analyzer produces: a frequency distribution compared to expected values, a heatmap of outcomes, streak analysis, point/seven-out tallies, and a chi-square goodness-of-fit test.
Reading the Results
The distribution chart compares your actual frequencies against theoretical expectations. If the 7 showed up 20% of the time instead of 16.67%, you’ll see it immediately. The chi-square test tells you whether any deviation is statistically significant or just normal randomness.
Most of the time, even wild-looking data falls within normal bounds. That’s variance doing its thing.
This tool analyzes past data. It cannot predict future rolls. Every roll is independent, and no amount of historical analysis changes what happens next.
Practical Uses
Track rolls during home games to verify your dice are fair. Log casino sessions and review later. Test whether a table “felt different” or if that was just selective memory. Use the data to calibrate your intuition against reality.
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Craps Roll History Analyzer FAQs
Theoretically, yes. If a die consistently produces non-random distributions over thousands of rolls, this tool will flag it via the chi-square test. In practice, casino dice are precision-made and replaced regularly. Home dice might show bias.
At minimum 100 rolls to see basic trends. For statistically reliable results from the chi-square test, aim for 500 or more. The more data, the clearer the picture.
