About

Dataset insights

Insights are derived from contest results, not editorial bios. Each badge on an athlete profile is one finding pattern matching their record. They update every time the analytics rules are re-run, so adding a heat or correcting a place can change them.

• Career Stage Transition

  v1.1.0

  An athlete who progressed from a youth division_family to an adult division_family.

  Example Youth to adult competition

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • public.event_divisions
  • public.divisions
  • semantic.entity_tags

  Output template

  {athlete} progressed from {youth_family} to {adult_family} between {first_youth_year} and {first_adult_year}.

  Pattern id

  career_stage_transition

• Contest Winner

  v1.1.0

  An athlete with one or more first-place contest results. One athlete-level finding; division-family detail is recorded in evidence.

  Example 8 contest wins

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • public.events
  • public.event_divisions
  • semantic.authoritative_tags

  Output template

  {athlete} has {win_count} contest wins.

  Pattern id

  contest_winner

• Cross-Division Competitor

  v1.0.0

  An athlete who competed in two or more division_family values within a single calendar year.

  Example Competed in 3 division families in 2024

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • public.event_divisions
  • semantic.entity_tags

  Output template

  {athlete} competed in {family_count} division families in {year}.

  Pattern id

  cross_division_competitor

• Event Award Winner

  v1.0.0

  An athlete who has received one or more named event awards.

  Example 3 event awards

  Technical detail

  Subject

  athlete

  Inputs

  • public.event_awards
  • public.events

  Output template

  {athlete} has received {award_count} event awards: {award_names}.

  Pattern id

  event_award_winner

• Most Active Athlete

  v1.0.0

  The athlete with the most distinct events within a (geographic_region, year) scope.

  Example Most contest entries in New England, 2024

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • public.events
  • public.geographic_regions
  • semantic.entity_tags

  Output template

  {athlete} is the most active athlete in {geographic_region} for {year}, with {event_count} events.

  Pattern id

  most_active_athlete

• Multi-Year Podium

  v1.1.0

  An athlete with podium finishes in three or more distinct calendar years. One athlete-level finding; division-family detail is recorded in evidence.

  Example Podium in 7 different years

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • public.events
  • public.event_divisions
  • semantic.authoritative_tags

  Output template

  {athlete} has podium finishes across {year_count} different years ({span_years}-year span).

  Pattern id

  multi_year_podium

• Regional Dominance

  v2.1.0

  The athlete with the highest podium share in a (geographic_region, year, gender_class) bucket across all events. Buckets with fewer than three podiums are excluded.

  Example Top women's podium share in California, 2024

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • public.events
  • public.event_divisions
  • public.geographic_regions
  • semantic.authoritative_tags

  Output template

  {athlete} leads {gender_class} podiums in {geographic_region}, {year} ({podium_share_pct}% of {total_podiums}).

  Pattern id

  regional_dominance

• Repeat Podium Finisher

  v1.0.0

  An athlete with three or more podium finishes lifetime, optionally scoped to a division_family.

  Example 5 lifetime podiums

  Technical detail

  Subject

  athlete

  Inputs

  • public.results
  • semantic.entity_tags

  Output template

  {athlete} is a Repeat Podium Finisher in {division_family} with {podium_count} podiums.

  Pattern id

  repeat_podium_finisher

Patterns are versioned. Bumping a major version means the underlying definition changed (e.g. new threshold or time window), so any older finding becomes superseded automatically.