Understanding Schedule Metrics

MatchGrid tracks several metrics to help you evaluate schedule quality, fairness, and team satisfaction. These metrics appear after generating a schedule and throughout the season.

Analytics dashboard showing schedule metrics and fairness scores — The Analytics dashboard displays key metrics including feasibility scores, travel analysis, and fairness reports

Core Metrics

Feasibility Score

A percentage indicating how well constraints were satisfied:

Score	Rating	Meaning
95-100%	Excellent	All major constraints met
85-94%	Good	Minor soft violations only
70-84%	Acceptable	Some compromises made
Below 70%	Needs Review	Significant violations

Home/Away Balance

Measures equity in home vs away games per team:

Perfect Balance: Equal home and away games
Acceptable Variance: ±1 game difference
Imbalanced: Review teams with large differences

Home/Away balance chart — View home and away game distribution across teams

Travel Metrics

Total Miles by Team

Shows cumulative travel distance for each team:

Helps identify teams with disproportionate travel burden
Compare against configured travel limits
Useful for planning future schedule adjustments

Longest Trip

The maximum single-trip distance for each team:

Highlights potentially difficult road trips
Consider splitting long trips across multiple weekends

Travel analysis table showing team travel distances — Review total miles and longest trips for each team

[!TIP] If one team has significantly more travel than others, consider adjusting home/away assignments or finding neutral venues for future seasons.

Fairness Reports

MatchGrid calculates fairness across multiple dimensions:

Bye Distribution

For leagues with uneven team counts, byes should be distributed fairly.

Rest Days Between Games

Minimum recovery time should be consistent across all teams.

Prime Time Slots

Weekend and evening games should be distributed equitably.

Fairness report summary — View fairness metrics including bye distribution, rest days, and prime time slots

Using Metrics to Improve

After reviewing metrics:

Identify outliers — Teams with extreme values
Understand causes — Limited venues? Restrictive blackouts?
Adjust inputs — Add locations, relax constraints
Re-generate — Run auto-scheduler with new settings
Compare — Check if metrics improved

Exporting Reports

Download metric reports for stakeholder meetings:

Go to Analytics
Click Export Report
Choose format (PDF or Excel)
Select metrics to include

Reports include visualizations and raw data tables.