Data as a Model – Football Yardage

Data is an abstraction or a physical activity. When describing data we are measuring one element that may actually have multiple variables that influence its outcome.

On Monday, the LSU Tigers will play the Clemson Tigers for the College Football National Championship. Before, during and after the game, reporters, fans, and announcers will compare many metrics. They will discuss turnovers, first downs, penalties, etc. but the most common statistic (beyond the score) will be offensive yards. Offensive yardage represents many things: the quality of the offensive line (or its lack of execution), each coach’s play-calling, and the quality of the quarterback/receivers play. For example, Joe Burrow’s highlight against Georgia represents a 71 yard pass and that is all. The duration of the play, etc., are compressed into one small data point.

1st & 10 at LSU 20

https://www.espn.com/college-football/playbyplay?gameId=401132981

(3:57 – 3rd) Joe Burrow pass complete to Justin Jefferson for 71 yds to the Geo 9 for a 1ST down

So, when you are watching the game, remember the announcers often describe an action by a single variable, one which is influenced by many things. And for some items, “data” fails to describe the variables that create these memorable moments.

GEAUX TIGERS!!