These are all proven anti-cheat methods used in FPS and competitive shooters today.
They’re realistic, lightweight, and don’t harm legit players.
The comp community loves this game — we just want fair basketball again. 🏀❤️
Happy to help further if needed. 🙏🏾
Hi @Beluba — I’m a competitive Pro-Am player in #NBA2K26 and also work in AI/ML.
Zens/Titans are causing unnatural shooting patterns (identical release timing down to the millisecond). This is detectable.
Here is a thread of all solutions I could think of to combat this.
5) No Need for RNG on Everyone’s Shots
Instead of forcing randomness into EVERY player’s greens…
Just detect and apply additional randomness to flagged unnatural patterns only.
This keeps the skill gap intact and the game fair.
4) ML Model (my favorite)
Train a lightweight model on shot telemetry:
•Input timing variance
•Stick angle noise
•Shot success vs contest
•Session-to-session consistency
It learns the difference between human randomness and scripted automation, for button and tempo.
2) Server-Side Shot Validation
Move the final green/make calculation server-side.
Client still performs animations, but the server checks whether the input pattern is human-like.
This removes guaranteed greens from scripted timing.
1) Detect Timing Anomalies
Human players have natural micro-variance in shot release timing.
Zen/Titan scripts produce near-zero variance across hundreds of shots.
A threshold-based detector can flag this easily.
Example:
if micro_variance < X ms over Y attempts → suspicious
@SC0REGOD @choc I don’t understand why you people under the man threads to randomly rage bait. I don’t even care for the dude but he’s made agreeable points all 2k26 and you bots are trolling unprovoked like get a life 😂