I Random Cricket Score Generator !!top!!

: Advanced simulators, such as those discussed on Medium , use historical strike rates and averages to weight the random outcomes. For example, a "top-tier" batter has a higher random probability of hitting a 4 or 6 than a "tail-ender".

def generate_cricket_score(format_type): # Define parameters based on format if format_type == 'T20': max_overs = 20 base_run_rate = random.gauss(8, 2) # Average 8 runs per over elif format_type == 'ODI': max_overs = 50 base_run_rate = random.gauss(5.5, 1.5) # Average 5.5 runs per over else: return "Invalid Format" i random cricket score generator

class CricketScoreGenerator: def __init__(self): self.teams = ["Team A", "Team B", "Team C", "Team D"] self.overs = random.randint(1, 20) # Random overs between 1 and 20 self.wickets = random.randint(0, 10) # Random wickets between 0 and 10 self.runs = self.generate_runs() : Advanced simulators, such as those discussed on