She wrote a simple Python script to calculate "drama score": (extra_time_goals * 3) + (penalty_misses * 2) + (red_cards) + (abs(goal_diff) < 2)
: For R users, the database is encapsulated in the worldcup R package. worldcup database jfjelstul csv
She smiled, closed the laptop, and whispered: "Most dramatic match? All of them. Every row." She wrote a simple Python script to calculate
The dataset can be accessed directly from public repositories, such as GitHub or CRAN (as it powers the worldcup R package). Loading in Python Every row
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.
Available as raw CSV text files, removing proprietary software barriers. If you want to start analyzing this data, let me know: Which programming language or tool you plan to use? What specific question or metric you want to investigate?