Worldcup Database Jfjelstul Csv [2024]

She looked at the last row of worldcup.csv . Row 22,057. Year: 2022. Match: Argentina vs France (final). 3–3 after extra time. Penalties: 4–2. Two goals by Mbappé in 97 seconds. Messi lifting the trophy.

She joined another table: goals.csv . Here, the data softened. Each goal had a minute , a player_name , and a own_goal Boolean. She sorted by minute → highest first. worldcup database jfjelstul csv

Then she found it.

She wrote a simple Python script to calculate "drama score": (extra_time_goals * 3) + (penalty_misses * 2) + (red_cards) + (abs(goal_diff) < 2) She looked at the last row of worldcup

She pivoted to penalty_shootouts.csv . Now we were talking. Columns: match_id , team , player , minute , scored . She counted misses. Croatia vs Japan, 2022 — three misses each. Pure data agony. Match: Argentina vs France (final)