Question

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Explanation:

Step1: Get player basic info

# Get names and other strings from user
player_name = input("Enter player name: ")
team_name = input("Enter team name: ")
position = input("Enter player position: ")

Step2: Get performance data

# Get player data from user
games_played = int(input("Enter total games played: "))
points_scored = int(input("Enter total points scored: "))
rebounds = int(input("Enter total rebounds: "))
assists = int(input("Enter total assists: "))

Step3: Calculate key statistics

# Calculate player statistics using input data
# Points per game (PPG)
ppg = points_scored / games_played
# Rebounds per game (RPG)
rpg = rebounds / games_played
# Assists per game (APG)
apg = assists / games_played
# Field goal % (assuming 2x points for FG, simplified)
field_goals_made = points_scored // 2
field_goals_attempted = int(input("Enter total FG attempts: "))
fg_pct = (field_goals_made / field_goals_attempted) * 100

Step4: Output formatted report

# Output sports report with statistics
print("
=== Player Statistics Report ===")
print(f"Player Name: {player_name}")
print(f"Team: {team_name} | Position: {position}")
print(f"Games Played: {games_played}")
print(f"Points Per Game: {ppg:.2f}")
print(f"Rebounds Per Game: {rpg:.2f}")
print(f"Assists Per Game: {apg:.2f}")
print(f"Field Goal Percentage: {fg_pct:.1f}%")

Answer:

The pseudocode/program will collect player identification, raw performance data, calculate per-game averages and shooting percentage, then output a structured statistics report. The full functional code (Python example) is provided in the step-by-step breakdown above.