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Methodology

How Football Matchup Predictions Work

Project Matchup turns Ohio Sports Power Ratings into a projected score, point spread, win estimate, and plausible score range. It is an analytics tool for comparison, not a guarantee or betting advice.

OSPR and the matchup calculation do different jobs

OSPR measures team strength

For football, OSPR blends normalized CalPreps-style, Elo, and Colley ratings. The current football weights are 40%, 35%, and 25%. Stored offensive, defensive, momentum, and rating-confidence values provide additional context.

Project Matchup estimates the game

The matchup calculation uses the teams' OSPR strength, offensive and defensive ratings, current-season evidence, and the selected game location to estimate one expected scoring margin.

The calculation, step by step

  1. 1

    Load the selected season's ratings

    Project Matchup uses each team's persisted OSPR, offensive rating, and defensive rating when available. Current-season games determine rating confidence; preseason differences are deliberately tempered while evidence is limited.

  2. 2

    Apply game location

    The home team receives a three-point football home-field adjustment. Neutral-site matchups receive no location adjustment.

  3. 3

    Compare offense and defense

    Each offense is compared with the opposing defense. Those matchup differences refine the rating-based point margin.

  4. 4

    Estimate the total and scores

    The calculation begins from a football scoring baseline, adjusts the expected total for both teams' offensive and defensive ratings, and divides that total according to the expected margin. All displayed scores derive from that same margin.

  5. 5

    Express uncertainty

    Rating confidence controls the width of the score ranges. Fewer current-season games produce wider ranges; more evidence narrows them. The public accuracy page evaluates locked pregame projections after final scores arrive.

How to read a result

Projected score and spread

The central estimate of the score and expected difference between the teams.

Rating-based win estimate

The directional likelihood implied by the expected point margin. It does not describe data quality.

Prediction confidence

A measure of current-season rating evidence and matchup separation. Low confidence should temper a strong-looking win estimate.

Plausible margin range

The range implied by both teams' score intervals. If it crosses zero, outcomes where either team wins fall inside the displayed range.

Important limitations

  • Early-season ratings contain less current-season evidence and naturally produce wider ranges.
  • Injuries, roster changes, weather, travel disruptions, and coaching decisions are not included unless their effects appear in recorded results.
  • A projected score is a central estimate, not a claim that the game will finish on that exact number.
  • Historical accuracy summarizes past tracked projections and does not guarantee future performance.