Articles

Analytics Without a Statistics Degree

What players and coaches need to understand—and what the analysis should handle for them

Players and coaches need to understand the question, the result, and what it means for the next decision—not every calculation behind it.

One Annotation, Many Analyses

How detailed match records support today's statistics and tomorrow's analytics

A detailed match record preserves the evidence needed to answer many questions, not just the one that motivated the annotation.

From Kills to Player Value

How richer match data reveal what actions are worth and what they tell us about players

Player evaluation improves as we move from recording outcomes to normalizing opportunity, valuing context, and attributing contribution.

From Statistics to Better Decisions

How match data can change training and tactics

Analytics becomes valuable when it identifies what to change and tests whether the change worked.

The Best Team Is Not the Six Best Players

Why selection depends on roles, combinations, and player interactions

The strongest lineup is not necessarily the six highest-rated individuals, but the combination that creates the greatest collective value.

Test Tactics, Don't Trade Opinions

Using data to discover which dodgeball principles actually hold

Tactical beliefs should be tested against repeated evidence so the sport can distinguish stable principles from local opinions.

Scout Profiles, Not Reputations

How opponent analytics turns known strengths into specific tactical plans

Reputation identifies who is dangerous; analytics reveals when that danger is greatest and how to plan against it.