Ready for a deep dive into the wild world of European football? This scatter chart breaks down the winning odds of the 2023/24 season, revealing all the surprises, upsets, and nail-biting moments from the pitch.
Using bookmakers’ average odds as a benchmark, this analysis focuses on pinpointing the most accurate predictions. From this scatter chart, you’ll uncover:
- Which leagues experienced the fewest upsets in the 2023/24 season (lowest median winning odds)?
- Which matches yielded the most unpredictable results?
- How did the winning odds for your favorite team stack up?”
Understanding the first quartile (Q1), third quartile (Q3), and median (Q2) can provide valuable insights into the distribution of winning odds in the dataset:
First Quartile (Q1): This represents the value below which 25% of the data points fall. In the context of winning odds, the first quartile indicates the point at which a quarter of the observed winning odds are lower.
Median (Q2): The median is the middle value of a dataset when it is ordered from lowest to highest. It represents the value at which half of the data points fall below and half fall above. For winning odds, the median indicates the typical or average value of the observed odds.
Third Quartile (Q3): This represents the value below which 75% of the data points fall. In the context of winning odds, the third quartile indicates the point at which three-quarters of the observed winning odds are lower.
Visualised with Flourish.
Data source: Football-Data.co.uk (AMAZING! Thanks!)