🗡Item Upgrade Success Odds Calculator

Cumulative odds and tries

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How many tries before one success

Enter the success rate p for a single try and a number of tries n, and the tool returns the cumulative chance of at least one success as 1 − (1 − p)^n. The expected number of tries until the first success is 1/p, and the tries needed to reach a target cumulative probability q is ln(1 − q) / ln(1 − p) rounded up. At a 3% rate, 30 tries give 59.8993% cumulative odds, the expected count is 33.33 tries, and passing 95% cumulative odds takes 99 tries.

Every try is assumed independent with the same probability. Rising rates after failures, protection items, and guaranteed successes after a fixed count are not modeled. A long streak of failures does not raise the chance on the next try.

This tool works from the formula only; it does not roll random draws to simulate hits and misses, and it does not calculate upgrade costs or material use. Treat it as study material for probability; written as of October 2026.

Frequently asked questions

At 3% per try, is 30 tries almost sure?

It is 1 − 0.97^30 = 59.8993%. Even after all 30 tries, failure is still more than a 40% outcome.

Am I due once I pass the expected tries?

No. The expected count 1/p is an average, and because every try is independent, past failures never raise the next chance.

Does it model pity timers or rising rates?

No. This calculator only covers independent tries with the same probability every time.