Worldcup Database Jfjelstul Csv -

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.

She smiled, closed the laptop, and whispered: "Most dramatic match? All of them. Every row." If you'd like a of the actual worldcup.csv schema (tables: matches, goals, cards, players, tournaments), or a code example in R/Python for analyzing it, let me know. worldcup database jfjelstul csv

Row 2,034. Goals: 1–0 (after extra time). Attendance: 74,738. Referee: Nicola Rizzoli. She pivoted to penalty_shootouts

Minute 120+ — Extra time, knockout stage. Row 4,103: minute = 120+2 , player_name = "Francesco Totti" , penalty = TRUE , tournament = 2006 . Italy vs Australia. Dramatic? The database said yes, silently. She counted misses

She queried further: → Hungary 10–1 El Salvador, 1982. Most cards in a single match → Portugal vs Netherlands, 2006 (16 yellows, 4 reds). The "Battle of Nuremberg." Row 1,772.