Minecraft anticheat guide
Aimbot and AutoClicker Detection for Minecraft PvP
What Minecraft PvP servers should expect from aimbot, rotation, click-pattern, CPS, ML, and combat timing checks.
Good aim checks do not only detect snaps
Modern aimbot detection looks at rotation grids, divisor flaws, smoothness, entropy, duplicate rotation signatures, target offsets, hit-rotation context, and statistical improbability. Simple snap checks catch bad clients, but advanced clients require multiple weak signals combined with combat context.
FairPlay includes 47 aimbot checks, including machine-learning confidence, hit rotation, entropy signatures, divisor/grid artifacts, smooth acceleration statistics, target lead, target offset, and yaw/pitch step ratio families.
AutoClicker detection needs timing windows
CPS alone is not enough. AutoClickers can randomize rate, hide below caps, and imitate jitter windows. Useful checks compare delay skewness, distinct delay counts, phase locks, rounded CPS, interval stability, spike behavior, hit/miss consistency, and tick sequence patterns.
FairPlay includes 14 AutoClicker checks and a click machine-learning workflow. For production servers, the correct rollout is alerts first, then punishments once your player base and combat style are tuned.
Why ML should stay configurable
Machine-learning checks are strongest when admins can inspect models, training windows, confidence output, and false-positive cases. FairPlay exposes model registry and training workflows so advanced servers can separate evidence gathering from enforcement.
FAQ
How many aimbot checks does FairPlay include?
The updated description lists 47 aimbot checks.
How many AutoClicker checks does FairPlay include?
The updated description lists 14 AutoClicker checks.