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NFL Research

Oct 01, 2025

So this will be an ongoing post about research I'm conducting into certain NFL trends. Let's start...


I'm trying to figure out just exactly how many completed passes and positive runs should an NFL team expect to execute in a given game. In order to properly calculate this though, the dataset needs to be filtered in order to excise garbage-time plays. But we can't even attempt that until we adequately define garbage time.

Garbage time is hereby defined as any time when teams play outside their script and are not trying to stage a comeback or stave off a rallying opponent. What does that mean from a mathematical standpoint? The following scenarios encapsulate a full and precise definition of garbage time in my educated opinion.

I'm also factoring quarterback scrambles into the equation too, so long as those scrambles go for positive yardage without any self-inflicted penalties or fumbles. Ultimately, productive plays are wholly comprised completed passes, runs for positive yardage, and quarterback scrambles for positive yardage. This metric alone will never provide a full picture or nuance into a team's performance - it's just a generalized statistic to be used to gauge a team's productivity irrespective of context or strength of competition. Applying this equation to all games that have taken place from 2020 onward, I found out that teams run an average of 46 plays per game, with a standard deviation of approximately 8 plays. So with that information in mind, I'm going to declare the following:

Teams are expected to run anywhere from 40 to 48 productive plays per games. If a team executes more than 48 such plays, the team has exceeded offensively. But should a team execute less than 40 plays, the team has underperformed.

The Owl