FAQ: MacQuarrie Strength of Schedule Index - Bias-Free College Football Rankings

Summary
What is the MacQuarrie Strength of Schedule Index?
The MacQuarrie Strength of Schedule Index is a bias-free mathematical system that ranks college football teams based solely on their on-field performance and the quality of opponents they face, eliminating human bias from the ranking process.
Why is this index being introduced?
It addresses the bias problem in current ranking systems where coaches and AP writers may favor certain teams, ensuring that only the most deserving teams based on actual performance rise to the top for playoff consideration.
How does the MacQuarrie Index work?
The Index mathematically evaluates team schedules without bias or pre-season hype, updating weekly based on actual results and opponent strength to rank the five highest-ranked conference champions and the next seven best-performing teams.
When will the MacQuarrie Index be implemented?
The Index will deliver updated rankings every week throughout the 2025 college football season.
Who created this index and what is their background?
Mike MacQuarrie, a historian and author of 15 sports books who is a descendant of the ancient Scottish Clan MacQuarrie, created the index, bringing his heritage of fairness from Highland Games traditions to college football.
What additional features will the MacQuarrie Index provide beyond rankings?
The Index will feature Player of the Week and Coach of the Year selections, lists of toughest stadiums and largest crowds, insights into mascots and traditions, plus blog posts and fan discussions to enrich the football experience.
How does this system differ from current ranking methods?
Unlike the Coaches Poll and AP rankings where human voters may bring bias, the MacQuarrie Index uses pure mathematical evaluation without politics, preferences, or deadline pressures affecting the results.
What impact will this have on the National Championship Playoff?
The Index ensures the playoff always includes the best 12 teams based on mathematical performance metrics rather than just the most famous or traditionally strong programs.

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