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Drop Rate: Expected Kills / Attempts Calculator

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Understanding the drop rate kills calculator — concept and principle

Many games list rare loot as "1 in N", for example a 1/128 drop from a boss. This calculator tells you how many kills or attempts you need to reach a chosen confidence of having seen at least one drop, the average number of kills, and how likely you are to have the drop after exactly N kills. Players use it to plan a grind and to judge whether a long dry streak is unusual.

Chance of a 1-in-128 drop by kill countWith a 1-in-128 drop, 128 kills give only a 63.4% chance and 294 kills are needed for 90%.“1 in 128” is not “sure by 128”Each kill: 1 in 128 (0.78%)P(by n kills) = 1 − (127/128)ⁿ128 kills (the mean)63.4%36.6% still have none294 kills90%for 90% confidence
After the average 128 kills, about one player in three still has no drop.

How it is calculated

Confidence is entered in percent (90 means 0.90).

The principle

Each kill is an independent trial with the same small chance of success. The probability of no drop in n kills is (1 − p)ⁿ, so the chance of at least one is 1 − (1 − p)ⁿ. Setting this equal to c and taking logarithms gives the kill count. The number of kills until the first drop follows a geometric distribution with mean N, but the distribution is skewed: many players get lucky early, while a long tail needs far more. As N grows, (1 − 1/N)ᴺ approaches 1/e, so after N kills the chance is always close to 1 − 1/e ≈ 63.2%.

Worked example

  1. Inputs: drop chance 1 in 128, confidence 90%.
  2. p = 1 ÷ 128 = 0.0078125.
  3. Kills for 90%: ln(0.1) ÷ ln(127/128) ≈ 293.6, rounded up to 294 kills.
  4. Expected kills = 128.
  5. Chance by 128 kills = 1 − (127/128)¹²⁸ ≈ 63.36%.
How Kills for this confidence changes with Drop chance (1 in N)How Kills for this confidence changes wi…0200400600326496128160192256Example: 294Drop chance (1 in N)
Each point is the calculator re-run with only “Drop chance (1 in N)” changed; the gold point is the default example. Change the inputs above and this chart follows your numbers.
Drop chance (1 in N)Kills for this confidence
3273
64147
96220
128294
160368
192441
256589

How to read the result

The mean of 128 is not the typical experience: half of all players have the drop by about 89 kills (N × ln 2), while one in ten still has nothing after 294. Reaching 99% confidence takes about 588 kills, roughly 4.6 times N. If you are well past the 90% mark, you are unlucky but not impossible; one player in ten is in the same position.

Common mistakes

Keep in mind: The model assumes a fixed, independent chance per kill. Games with bad-luck protection, drop tables that change over time or shared loot will differ, so check the game's own rules.

Frequently asked questions

How many kills until I am 50% likely to get a 1/N drop?

About N × ln 2, or 0.69 × N. For 1/128 that is 89 kills.

Is being "dry" at 3 × N kills unusual?

The chance of no drop after 3N kills is about e⁻³, roughly 5%, so it happens to one player in twenty.

Does killing faster change the odds?

No. It only shortens the time each attempt takes; the probability per kill is unchanged.

Sources: Sheldon M. Ross, A First Course in Probability (geometric distribution) · William Feller, An Introduction to Probability Theory and Its Applications, Vol. 1

Checked 8 Nov 2026. Official league / federation formulas where they exist; widely used community formulas otherwise. For fun and analysis — not betting advice.

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