If a game has a 5% rate of cheaters in the player base, your odds of running into at least one cheater depend heavily on the number of other players in your match (lobby size).
You can calculate the probability of at least one cheater being in a match using the binomial formula: \(1 - (1 - p)^n\), where \(p = 0.05\) (the cheater rate) and \(n\) is the number of other players in the match.
Odds by Lobby Size
• 10-player match (e.g., 5v5 game like CS2 or Valorant; \(n = 9\) other players):
• ~37% to 40% chance at least one person in the match is cheating.
• 12-player match (e.g., The Finals or Overwatch; \(n = 11\) other players):
• ~46% chance at least one person in the lobby is cheating.
• 64-player match (e.g., Battlefield; \(n = 63\) other players):
• ~96% chance at least one person in the match is cheating.
Where did you learn math TheRagebeard. The odds are not in your favor.