Topic
Sports analytics
Sport generates cleaner data than almost any other subject: fixed rules, complete records, and a result at the end of every contest. That makes it the best available classroom for statistics, because you can check whether a model was right.
These clips cover the measures that changed how games are analysed, and the recurring lesson underneath them — that a season is short enough for luck to look exactly like skill.
- Videos
- 0
Every clip here states its source and the period it covers, and carries the underlying numbers on its page as a table you can copy.
What you'll learn
What this topic covers
- What expected goals measures, and what it deliberately ignores
- Why a hot streak is usually a sample size rather than a state of mind
- How efficiency metrics rank players differently from counting stats
- What win probability models are doing between plays
- Why last season's leaders regress, without anybody getting worse
Videos
Nothing published on this topic yet — it is on the list. Browse the rest of the library.