I--- Random Cricket Score Generator File

while balls_bowled < total_balls and wickets < 10: ball = random.choice(outcome_list) balls_bowled += 1 if ball == "W": wickets += 1 print(f"Ball balls_bowled: 🚨 WICKET! wickets/???") if wickets == 10: print("\n💀 All out!") break else: runs = int(ball) total_runs += runs print(f"Ball balls_bowled: runs run(s) | Total: total_runs/wickets") # Show over break if balls_bowled % 6 == 0 and balls_bowled < total_balls: print(f"\n--- End of over balls_bowled//6 ---\n")

print(f"🏏 batting_team vs bowling_team | overs overs\n") i--- Random Cricket Score Generator

Here is a typical probability distribution for a (adjustable for T20): while balls_bowled < total_balls and wickets < 10:

import random def random_cricket_score(overs, batting_team="Team A", bowling_team="Team B"): total_runs = 0 wickets = 0 balls_bowled = 0 total_balls = overs * 6 while balls_bowled &lt

outcome_list = [] for outcome, prob in outcomes.items(): outcome_list.extend([outcome] * prob)

outcomes = "0": 30, "1": 35, "2": 15, "3": 2, "4": 10, "6": 3, "W": 5

Cricket is a game of glorious uncertainty. While a bowler can plan a yorker, and a batter can premeditate a scoop, the final outcome of every delivery remains a mystery until the ball meets the willow.

print(f"🏏 batting_team vs bowling_team | overs overs\n")

Here is a typical probability distribution for a (adjustable for T20):

import random def random_cricket_score(overs, batting_team="Team A", bowling_team="Team B"): total_runs = 0 wickets = 0 balls_bowled = 0 total_balls = overs * 6

outcome_list = [] for outcome, prob in outcomes.items(): outcome_list.extend([outcome] * prob)

outcomes = "0": 30, "1": 35, "2": 15, "3": 2, "4": 10, "6": 3, "W": 5