2021 | Holeinonepangyacalculator

In this example, the chance is higher if the club power is closer to the effective distance, and adjusted by accuracy and skill bonus.

Once the probability is calculated, the user might want to simulate, say, 1000 attempts to get the expected success rate (like, on average, how many attempts are needed). holeinonepangyacalculator 2021

def calculate_probability(distance, club_power, wind, accuracy, bonus_skill): # Apply wind to effective distance adjusted_distance = distance + wind # Calculate the difference between club power and adjusted distance difference = abs(club_power - adjusted_distance) # Base probability could be inversely proportional to the difference base_prob = 1 - (difference / (adjusted_distance ** 0.5)) # Clamp probability between 0 and 1 base_prob = max(0, min(1, base_prob)) # Multiply by accuracy and skill modifiers total_prob = base_prob * accuracy * (1 + bonus_skill) # Clamp again in case modifiers go over 1 total_prob = max(0, min(1, total_prob)) return total_prob * 100 # Convert to percentage In this example, the chance is higher if

chance = calculate_hole_in_one_chance(distance, club_power, wind_effect, accuracy, skill_bonus) Alternatively, maybe the calculator is for the player

First, create a function that calculates the chance, then a simulation part.

Alternatively, maybe the calculator is for the player to calculate how many balls they might need to aim for a Hole-in-One, based on probability.

Another angle: Maybe the Hole-in-One in Pangya is based on a hidden value, and the calculator uses player stats to estimate chance. For example, using club type's skill level, player's overall level, and game modifiers.