Knowledge Base

Triathlon Lab Guide

A searchable home for how to use the site, where to find the right tools, and how Triathlon Lab calculates rankings, projections, and race-intelligence numbers.

I want to find a raceStart with the race catalog, then open a series hub for course notes, history, results, and context.Open race tutorial I want to research an athleteUse athlete search, switch between pro and age-group views, then inspect linked race history.Open athlete tutorial I want to understand a scoreStart with the ranking explainer, then open the scoring races behind the athlete's score.Open ranking tutorial

Search the guide

Site GuideReadyRace hubsBrowse races by brand, distance, country, and series. Use race hubs for course context, result history, Kona notes, and pro or age-group views.racescourseresultsseries Site GuideReadyAthlete search and profilesFind pro and age-group athletes, open unified profiles, and trace race history across official athlete identities.athletesprofilessearchhistory Site GuideReadyRankingsSwitch between official series rankings and Triathlon Lab PowerIndex profiles for current form, split strength, and distance fit.rankingsscorecardsproPowerIndex WorkflowsReadyStart-list researchUse start-list workspaces to compare fields, inspect scorecards, sort by discipline, and prep race picks or previews.startlistrace picksfieldresearch Site GuideReadyKona Slot FinderCompare qualifier fit using slot volume, course demands, heat tolerance, swim profile, hills, and age-group speed context.konaslotsqualifyingage group CalculationsReadyPower index scorecardsHow overall, swim, bike, and run scores roll up from result quality, field strength, recency, distance relevance, and split strength.scorerankingsswimbike CalculationsNextDistance-aware start-list scoringWhy full-distance races lean on long-course history while 70.3 and T100 races favor middle-distance history.startlistdistancefull70.3 CalculationsNextKona slot projectionsHow projected targets assign age-group winner slots first, then rank the remaining pool by age-graded performance.konaslotsage gradingtargets CalculationsNextAge grading and speed profilesHow age-group times, course context, and repeat athletes become comparable targets across categories.age gradingspeedcoursetargets CalculationsNextLive timing movementHow checkpoint splits, missing reads, rank changes, and pace context become live dashboards and tracker timelines.livetimingsplitspace DataNextSource identity linkingHow Triathlon Lab connects athletes, races, and results across IRONMAN, World Triathlon, PTO/T100, Challenge, and timing feeds.sourcesidentitydedupetrust DataReadyWorld Triathlon referenceUse official World Triathlon context for events, teams, federations, courses, rankings, and program results.world triathlonwtcsreferenceofficial WorkflowsReadyResults ExplorerAsk natural-language race questions and inspect the results behind the answer.toolsquestionsresultsanswers

Calculation map

The numbers should always explain themselves

Each model area needs a short user-facing explanation, the inputs it trusts, the fallbacks it uses, and the checks that help a user decide whether the number fits the race context.

Rankings and scorecards

Choose the right distance lens.
Score swim, bike, run, and overall strength separately.
Blend field quality, result quality, recency, and distance relevance.

Age-group and Kona tools

Normalize performances by age-group context.
Separate winner slots from rolldown-style performance pools.
Use course and climate signals as fit context, not guarantees.

Live timing and race picks

Read timing checkpoints with room for missed mats.
Compare movement by rank, gap, pace, and course segment.
Keep model numbers tied to visible athletes and results.

Building race view...