Gacha Pull Probability Simulator Pity Calculator
Use our free Gacha pull probability simulator pity tool to get instant, accurate results. Powered by proven algorithms with clear explanations.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Gacha Pull Probability Simulator Pity Calculator
Calculator
Adjust values & calculateEnter your values below. Every result is computed in your browser โ no data is sent to any server.
Formula: P(success in N) = 1 - Product(1 - rate_i) for i = 1 to N
Worked example โ Success probability: 99.5% with 25 pulls | Expected: ~14 pulls | Cost: $37.50
Formula
P(success in N) = 1 - Product(1 - rate_i) for i = 1 to N
The cumulative success probability equals 1 minus the product of failure probabilities at each pull. The effective rate at each pull position accounts for soft pity (linearly increasing rates after a threshold) and hard pity (guaranteed at the cap). This geometric-like distribution with rate escalation models real gacha systems accurately.
Worked Examples
Example 1: Standard Banner with Soft Pity
Problem:A game has 0.6% base rate, 90-pull hard pity, soft pity at pull 74. You are at 65 pity and have 25 pulls. What is your chance of getting the item?
Solution:Pulls 66-73 (8 pulls at 0.6%): Fail prob = (0.994)^8 = 0.953. Pulls 74-90 (soft pity, rates escalate from 0.6% to ~50%): At pull 74, rate jumps to ~6%. By pull 80, rate is ~22%. By pull 85, rate is ~38%. Cumulative success by pull 90 (25 pulls from current): > 99.5%. Expected to hit around pull 78-80 (13-15 pulls from current).
Result:Success probability: 99.5% with 25 pulls | Expected: ~14 pulls | Cost: $37.50
Example 2: Early Pity Planning
Problem:Starting from 0 pity with 0.6% rate and 90 pity. How many pulls for 90% confidence? Budget at $1.50 per pull.
Solution:At 0.6% base rate, probability of early hit in first 73 pulls: 1-(0.994)^73 = 35.5%. Soft pity from 74-90 adds significant probability. By pull 80: ~75% cumulative. By pull 85: ~92% cumulative. For 90% confidence, need approximately 83-84 pulls. Cost: 84 x $1.50 = $126.00.
Result:90% confidence: ~84 pulls ($126) | Guarantee: 90 pulls ($135)
Frequently Asked Questions
What is the pity system in gacha games?
The pity system is a mechanic that guarantees a rare item after a certain number of unsuccessful pulls. It exists to prevent extremely unlucky streaks and give players a deterministic upper bound on spending. Most games implement two forms: soft pity (gradually increasing rates after a threshold, typically 75% of the hard pity) and hard pity (guaranteed item at a fixed pull count). For example, in a game with 90-pull hard pity and 0.6% base rate, soft pity might start at pull 74 where rates increase from 0.6% to roughly 6-33% per pull until the guarantee at pull 90.
How does soft pity affect the expected number of pulls?
Soft pity dramatically reduces the expected number of pulls compared to pure random chance. Without any pity system at a 0.6% rate, the expected pulls for one copy would be about 167. With soft pity starting at pull 74, the expected drops to roughly 62-65 pulls because the escalating rates mean most players get the item between pulls 75-85. Only about 1-2% of players actually reach hard pity. This makes the effective rate much higher than the advertised base rate, which is why experienced players track their soft pity threshold carefully.
What is the 50/50 system and how does it affect probabilities?
Many gacha games implement a 50/50 system where winning the featured item is not guaranteed even when hitting pity. You have a 50% chance of getting the featured item and 50% chance of getting a random item from the pool. If you lose the 50/50, the next pity is guaranteed to be the featured item. This means in the worst case, you need to hit pity twice (180 pulls at 90 pity). The expected pulls for a specific featured item considering the 50/50 is roughly 1.5x the expected pulls to pity, since on average you lose every other 50/50.
How much should I budget for a specific character or item?
Budget for the worst case while hoping for the best. At typical rates (0.6% base, 90 hard pity), budget for 160-180 pulls for guarantee with a 50/50 system. At $1-2 per pull, that is $160-360. However, statistically, 90% of players will get the item within 80-85 pulls (one pity cycle) thanks to soft pity. The median player needs about 60-65 pulls. Only plan to spend what you can afford to lose. Track your pity counter and pull history to make informed decisions about when to save versus spend your resources.
Is it better to do single pulls or ten-pulls?
Mathematically, single pulls and ten-pulls have identical rates in most games. However, single pulls offer one key advantage: you can stop immediately after getting the desired item, saving remaining pulls for the next banner. With ten-pulls, you might get the item on the first pull of a ten-pull and waste the remaining nine. The only exception is games that offer a guaranteed 4-star or higher in every ten-pull, which provides slightly better value. For tracking pity, single pulls give more precise control over your pity counter.
References
Background & Theory
History
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer ยท Editorial policy
Related Calculators
๐งฎPortfolio Survival Probability Simulator
Calculate portfolio survival probability simulator with interactive inputs and clear steps.
๐งฎSavings Goal Monte Carlo Simulator
Calculate savings goal monte carlo simulator with inputs, formulas, and instant results.
๐งฎMonte Carlo Risk Simulator
Calculate monte carlo risk simulator with interactive inputs and clear steps.
๐งฎBayesian Posterior Probability Estimator
Calculate bayesian posterior estimator with inputs, formulas, and instant results.
๐งฎColor Palette Balance AI
Calculate color palette balance ai with inputs, formulas, and instant results.
๐งฎEV Route Charge Planner Range AI
Calculate ev route charge planner range ai with inputs, formulas, and instant results.
๐งฎWork Break Pomodoro Planner AI
Calculate work break pomodoro planner ai with inputs, formulas, and instant results.
๐งฎ3d Print Time Support Estimator
Calculate 3d print time support estimator with inputs, formulas, and instant results.