๐ŸŽฒGacha Result Statistics Analyzer

Enter your pull results to statistically analyze the deviation between your actual rate and the stated probability.

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How to Use the Gacha Result Statistics Analyzer

After pulling in gacha games, you might wonder if the stated probability is accurate. This tool uses binomial distribution statistics to calculate the expected wins, deviation, standard deviation, and z-score from your actual pull results.

A z-score within ยฑ2 is statistically normal (within the 95% confidence interval). A z-score beyond ยฑ3 is statistically unusual โ€” occurring in less than 0.3% of cases under the stated rate.

Statistical Formulas Used

Expected wins = n ร— p | Standard deviation = โˆš(n ร— p ร— (1โˆ’p)) | Z-score = (actual โˆ’ expected) / std

Frequently Asked Questions

Is a z-score of -2 just bad luck?

Yes, a z-score of -2 occurs in about 2.3% of sessions. It's unlucky, but statistically normal and not evidence of rate manipulation.

Is this analysis reliable with a small sample?

Fewer than 30 pulls have high variance and low reliability. For meaningful analysis, we recommend at least 50 pulls โ€” ideally several hundred.