EVE Online Enchant & Gear Score Calculator

Simulate enchant success rates, expected attempts, and total upgrade cost

Set a per-attempt enchant success rate and cost in EVE Online to compute the expected number of attempts and average total cost to reach a target enchant level, using the geometric-distribution model for independent Bernoulli trials.

How is the expected number of attempts calculated?

For an independent attempt with success probability p, the number of tries until the first success follows a geometric distribution whose mean is 1/p. The tool sums 1/p across every level you still need to gain.

Enchanting and gear upgrades in EVE Online are gambles: each attempt either succeeds or fails with a fixed probability. This calculator turns that probability into the numbers you actually care about — how many attempts you should expect, and how much currency that will cost on average — before you commit your materials.

How it works

When each attempt is independent and succeeds with probability p, the number of attempts needed for one success follows a geometric distribution. Its mean — the expected number of tries — is:

expected attempts per success = 1 / p

To go from your current level to a target level you need (target − current) successes, so the total expected attempts and cost are:

levels needed   = target − current
total attempts  = levels needed × (1 / p)
total cost      = total attempts × cost per attempt

This is the correct way to budget for any fixed-rate upgrade system: the average cost scales inversely with the success rate, so halving your odds roughly doubles your expected spend.

Example and tips

At a 20 percent success rate, one success takes 1 / 0.20 = 5 attempts on average. Climbing four levels needs about 4 × 5 = 20 attempts. If each attempt burns 10 units of material, budget for roughly 200 units — but keep a reserve, because variance means an unlucky streak can easily double that. Where the game offers protection items or pity systems, factor them in separately; this model assumes pure independent trials.