Unable to sort the output based on last occurrence of the scores.

The code aims to identify teams with “cold” scores (in this case, 2-1 and 1-1) based on their recent match history.

the code analyzes team performance based on specific score patterns to identify potential “cold” teams

# Define the sets and their teams' scores
sets = {
    "set_A": {
        "MAN CITY": ["1-0", "2-1", "1-1", "3-2", "0-0", "1-2", "0-1", "2-0", "1-3", "2-1"],
        "IPSWICH TOWN": ["0-2", "1-1", "2-0", "1-0", "0-1", "2-2", "1-3", "1-1", "2-1", "0-0"],
        "SOUTHAMPTON": ["2-1", "0-0", "1-2", "3-0", "0-1", "1-1", "2-3", "0-2", "2-0", "1-1"]
    },
    "set_C": {
        "INTER": ["1-0", "0-1", "0-1", "1-2", "3-1", "1-1", "2-2", "2-0", "1-3", "0-2"],
        "COMO": ["2-1", "1-1", "0-2", "1-0", "2-1", "1-2", "2-2", "1-1", "1-0", "0-1"]
    },
    "set_I": {
        "BAYERN": ["1-0", "0-1", "2-2", "3-1", "1-1", "0-0", "2-3", "1-2", "2-1", "0-3"],
        "FC ST PAULI": ["0-1", "2-2", "0-1", "0-0", "2-0", "1-3", "2-2", "1-0", "3-1", "1-2"]
    }
}

cold_scores = ["2-1", "1-1"]

def calculate_coldness(team_scores, cold_scores):
    total_matches = len(team_scores)
    coldness = 0
    last_occurrence = {score: None for score in cold_scores}
    
    for i, score in enumerate(team_scores):
        if score in last_occurrence:
            last_occurrence[score] = total_matches - i - 1

    for score in cold_scores:
        score_count = team_scores.count(score)
        if score_count == 0:
            coldness += 100  # large penalty for not having the cold score
            last_occurrence[score] = "never occurred"
        else:
            coldness += 1 - (score_count / total_matches)

    return coldness, last_occurrence

code split due to spam accusuaations

def find_cold_teams(sets, cold_scores):
    team_coldness = {}
    team_last_occurrences = {}
    
    for set_name, teams in sets.items():
        for team, scores in teams.items():
            coldness, last_occurrence = calculate_coldness(scores, cold_scores)
            team_coldness[team] = coldness
            team_last_occurrences[team] = last_occurrence
    
    # Sort teams by coldness in descending order
    sorted_teams = sorted(team_coldness.items(), key=lambda item: item[1], reverse=True)
    
    return sorted_teams, team_last_occurrences

Find all teams based on their coldness scores

sorted_teams, team_last_occurrences = find_cold_teams(sets, cold_scores)

Prepare the output lines

output_lines = []
for team, coldness in sorted_teams:
    for score in cold_scores:
        output_lines.append(f"{team}: {score} {team_last_occurrences[team][score]} Matches ago")

Write the output to a text file

with open('cold_teams.txt', 'w') as file:
    for line in output_lines:
        file.write(line + 'n')

print("Output written to cold_teams.txt")

What I’m expecting from the script.

FC ST PAULI: 2-1 never occurred Matches ago
FC ST PAULI: 1-1 never occurred Matches ago
INTER: 2-1 never occurred Matches ago
SOUTHAMPTON: 2-1 9 Matches ago
MAN CITY: 1-1 7 Matches ago
BAYERN: 1-1 5 Matches ago
COMO: 2-1 5 Matches ago
INTER: 1-1 4 Matches ago
IPSWICH TOWN: 1-1 2 Matches ago
COMO: 1-1 2 Matches ago
IPSWICH TOWN: 2-1 1 Matches ago
BAYERN: 2-1 1 Matches ago
MAN CITY: 2-1 0 Matches ago
SOUTHAMPTON: 1-1 0 Matches ago