enemy_mask = red_mask & green_mask & blue_mask return np.any(enemy_mask) import random import time from pynput.mouse import Controller, Button mouse = Controller() trigger_active = False
def main_loop(): global trigger_active, running while running: if trigger_active: frame = capture_region() if is_on_enemy(frame): time.sleep(random.uniform(0.03, 0.08)) mouse.click(Button.left, 1) time.sleep(0.05) else: time.sleep(0.01)
If you want to improve your actual aim, try or Deathmatch mode instead. Your rank – and conscience – will thank you. This article is for educational purposes only. Using automation in Valorant violates Riot Games’ Terms of Service.
def capture_region(): with mss.mss() as sct: mon = sct.monitors[1] cx, cy = mon["width"]//2, mon["height"]//2 region = "left": cx-3, "top": cy-3, "width": 6, "height": 6 return np.array(sct.grab(region))
img = sct.grab(region) return np.array(img) Valorant uses a red outline for enemies (RGB ~ 220-255, 0-50, 0-50). We define a simple mask.
def is_enemy_present(pixel_array): # pixel_array shape: (height, width, BGR) red_channel = pixel_array[:, :, 2] green_channel = pixel_array[:, :, 1] blue_channel = pixel_array[:, :, 0] red_mask = (red_channel > 200) green_mask = (green_channel < 60) blue_mask = (blue_channel < 60)
Valorant Python Triggerbot !full! May 2026
enemy_mask = red_mask & green_mask & blue_mask return np.any(enemy_mask) import random import time from pynput.mouse import Controller, Button mouse = Controller() trigger_active = False
def main_loop(): global trigger_active, running while running: if trigger_active: frame = capture_region() if is_on_enemy(frame): time.sleep(random.uniform(0.03, 0.08)) mouse.click(Button.left, 1) time.sleep(0.05) else: time.sleep(0.01) valorant python triggerbot
If you want to improve your actual aim, try or Deathmatch mode instead. Your rank – and conscience – will thank you. This article is for educational purposes only. Using automation in Valorant violates Riot Games’ Terms of Service. enemy_mask = red_mask & green_mask & blue_mask return np
def capture_region(): with mss.mss() as sct: mon = sct.monitors[1] cx, cy = mon["width"]//2, mon["height"]//2 region = "left": cx-3, "top": cy-3, "width": 6, "height": 6 return np.array(sct.grab(region)) Using automation in Valorant violates Riot Games’ Terms
img = sct.grab(region) return np.array(img) Valorant uses a red outline for enemies (RGB ~ 220-255, 0-50, 0-50). We define a simple mask.
def is_enemy_present(pixel_array): # pixel_array shape: (height, width, BGR) red_channel = pixel_array[:, :, 2] green_channel = pixel_array[:, :, 1] blue_channel = pixel_array[:, :, 0] red_mask = (red_channel > 200) green_mask = (green_channel < 60) blue_mask = (blue_channel < 60)