Sports Forensics learning guide
Why a season average needs a schedule
By Lou · Sports Forensics editorial · October 21, 2026
Evergreen educational guide. All numerical examples below are hypothetical; they are not current player or team reports.
Start with comparable samples
A season average combines games against different opponents and in different situations. Before using it to describe a college team, list which games are included, whether overtime is included and whether the schedule has changed substantially.
Worked example: invented numbers
Suppose a team gains 500 yards in one game and 250 in the next. Its two-game average is 375 yards. That average does not mean the team gained about 375 in either game. The distance between those performances is part of the story.
Separate opportunity from production
Suppose another team gains 420 yards over 70 offensive plays. The calculation is 420 ÷ 70 = 6.0 yards per play. A second team gains 360 over 50 plays, or 7.2. The first accumulated more yards, while the second produced more per play in this invented sample. Use consistent official counting rules before comparing actual teams.
Keep the schedule visible
Record opponent, location and date beside each result. Conference changes and nonconference schedules can make simple comparisons misleading. An opponent adjustment is an additional model with its own assumptions, not a fact automatically contained in a raw average.
A responsible conclusion
Describe what the recorded games show and name what remains unmeasured. A small sample can suggest a question worth following without establishing how the next game will unfold.
Official references
These references support statistical terminology and scoring conventions. The examples and interpretations are our own. League names identify the sport covered and do not imply affiliation or endorsement.
Questions or corrections? Contact Lou. Read our method for how evidence, interpretation and corrections are separated.