🔍Gacha Probability Manipulation Verifier

Enter the stated pull rate, total pulls, and actual hits to calculate the Z-score and see whether your results are within the normal statistical range.

How to Use the Gacha Probability Manipulation Verifier

This tool statistically compares your actual gacha results against the stated probability using Z-score analysis. The Z-score measures how many standard deviations your result is from the expected value — a measure of how unusual or "off" your results are.

Z-score thresholds: |Z| ≤ 1 is normal, ≤ 2 is a mild deviation (roughly 5% of outcomes), ≤ 3 is uncommon (about 0.3%), and above 3 is statistically very rare. Note: this is a statistical reference tool and does not prove or disprove manipulation.

Z-Score Formula

Standard deviation σ = √(n × p × (1−p)). Z = (Actual Hits − Expected Hits) / σ.

Frequently Asked Questions

Should I be suspicious if I got more hits than expected?

Whether Z is positive (over-hitting) or negative (under-hitting), a large absolute value is statistically unusual. Over-hitting is typically good luck for the player, so it tends to attract less concern than under-hitting.

Can I pool data from multiple players?

Yes — combining data from many players increases statistical power significantly. Community-aggregated data across thousands of pulls is far more reliable than any individual's sample.