accuracy = float(input("Enter player's accuracy stat (0-1): ")) skill_bonus = float(input("Enter skill bonus as a decimal (e.g., 0.15 for 15%): "))
In this example, the chance is higher if the club power is closer to the effective distance, and adjusted by accuracy and skill bonus. holeinonepangyacalculator 2021
Then, have a main function that loops for the user to enter data. If you hit the ball at the perfect
if wind_direction == 'tailwind': wind_effect = wind_strength elif wind_direction == 'headwind': wind_effect = -wind_strength else: # crosswind doesn't affect distance in this model wind_effect = 0 then a simulation part.
def calculate_hole_in_one_chance(distance, club_power, wind_effect, accuracy, skill_bonus): effective_distance = distance + wind_effect power_diff = abs(club_power - abs(effective_distance)) base_chance = max(0, (100 * (1 - (power_diff2)))) * accuracy) adjusted_chance = base_chance * (1 + skill_bonus) return min(100, adjusted_chance)
Another approach: Maybe in the game, the probability is determined by the strength of the shot. If you hit the ball at the perfect power for the distance, you get a higher chance. So the calculator could compare the power used to the required distance and adjust the probability accordingly.
First, create a function that calculates the chance, then a simulation part.