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Randomness in Video Games: Drops, Crits and Procedural Systems
A map of where random numbers show up in video games, from loot drops and critical hits to level generation, AI, and matchmaking, and why designers use them.
Video and Online Games
Drop tables, critical hits and other random systems explained.
Start here · Essential guide
A map of where random numbers show up in video games, from loot drops and critical hits to level generation, AI, and matchmaking, and why designers use them.
How designers tune chance in games where every run restarts: weighted offers, floors on bad luck, variance control, and the balance between luck and skill.
Learn how crit chance and crit multiplier combine into average damage, why two builds can match on average yet feel different, and where the formula stops working.
How weighted loot tables turn item weights into percentages, and what a stated drop rate such as 2% really says about how many attempts you may need.
An educational look at gacha math: what published rates mean, why averages mislead, how featured-item rules work, and why outcomes remain uncertain.
Why a shown 90% or 95% hit chance still misses often enough to frustrate players in tactics games, and how memory, streaks and game rules shape that feeling.
How pity counters and bad luck protection work, with a worked example showing how a guarantee changes the average number of attempts and what it leaves unchanged.
How seeded procedural generation builds levels with managed variety: rules, constraints, weighted choices, shuffle bags and validation that keep random output playable.
How pseudo-random distribution raises a chance after each failure to shorten bad streaks, with a worked example and the tradeoffs of streak protection in games.
How a game's random number seed and saved state decide whether reloading rerolls an outcome, and how players use that behavior in save scumming and speedruns.
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