Step 1
Describe the reward source
Create a loot table for a chest, boss, encounter, or activity and add the items or resources it can produce.
Product / Loot systems
Loot Table Designer
Turn drop-rate spreadsheets into a readable reward model with probabilities, player-facing timelines, and health signals for every loot table.
Rare gear chase
Boss chest · 8 enemies/run · 6 min
Processed
P50
18 runs
P90
58 runs
Health
82/100
Cumulative chance
0-60 runsCalculate chance per run, drops per hour, and expected time to obtain each item.
Compare average, P50, and P90 outcomes so unlucky-player experiences are visible.
Diagnose concentration, progression gaps, and reward health before tuning ships.
Design loot with the player experience in view.
Loot Table Designer helps designers move beyond isolated drop percentages. You define the content, run duration, drop sources per run, item chances, stack sizes, and rarity context; the tool translates that into the practical experience players will feel.
Step 2
Process the probability model
Convert per-enemy chances into run-level odds, drop frequency, average time, percentile windows, and 1000-run simulation output.
Step 3
Read the design signals
Use general indicators, comparative curves, health score criteria, and friction heuristics to decide what needs tuning.
What to expect from the feature
Expect a practical balance surface, not a black-box optimizer. The page gives you enough evidence to explain whether a drop is too trivial, too punishing, too concentrated, or creating a long-tail frustration risk.
Best for RPG, loot, and reward loops
Use it for boss drops, dungeon rewards, resource farming, rarity ladders, weekly chests, and chase-item pacing.
Built for iteration
Change chance, quantity, run length, or enemy count and compare how the whole reward experience moves.
Clear enough to share
The outputs are phrased for design discussion: runs, time estimates, health criteria, and explicit risk notes.
Make the reward curve easier to defend.
Use Loot Table Designer when a spreadsheet tells you the odds, but the team needs to understand the player journey behind those odds.