Core Principles
- ShadoU scoring is performance-based rather than movement-only.
- Distance, pace, speed, grade, elevation, and sport benchmarks all matter.
- Trust Score is a first-class metric, not a hidden review field.
- Scoring revisions exist to preserve fairness, not to distort results.
Score Pipeline
1 Activity file or recorded workout enters the portal.
2 Metrics are normalized by sport and source quality.
3 Trust validation estimates route and data reliability.
4 Scoring factors convert performance into ŠADO reward.
5 Versioning keeps recalculation traceable over time.
2026 Benchmark Year
Refinement is expected during 2026.
2026 is the ShadoU testing and benchmarking year. During 2026, the scoring algorithm will likely be adjusted as more real athlete data is collected across sports. This is intentional. The goal is to establish fair long-term benchmarks, reduce scoring distortions, and make rewards reflect actual performance as accurately as possible.
Why Recalculation Happens
Historical scores may be reprocessed.
To keep the system fair, ShadoU may recalculate historical scores when scoring rules are updated. If a scoring revision is introduced, past activities can be reprocessed under the same updated model so older and newer performances remain comparable.
Recalculated: Yes
The purpose of recalculation is not to remove earned effort, but to keep all athletes on the same benchmark system as the platform matures.
Trust Score
Reliability is visible on every activity.
Each activity includes a Trust Score. Trust Score reflects how reliable an activity appears based on route consistency, speed realism, elevation quality, source quality, and other validation signals.
Trust Score
Route consistency, elevation quality, speed realism, and source confidence
99 High
Low Review Good High
Future AI Validation
AI can strengthen trust, not hide it.
In future versions, ShadoU may use AI-assisted validation to improve trust analysis for individual activities, repeated user behavior, and long-term account reliability patterns.
Individual activitiesspot suspicious route geometry and implausible metrics
User behaviorobserve repeated anomalies and long-term reliability patterns
Rankingsstrengthen fairness in leaderboards and comparisons
Reward Example
Calculated Score example
Treasury Allocated
138.01 Š
Reward verified and added to your import preview
Base distance reward 96.26 Š
Pace factor × 1.26
Elevation factor × 1.02
Sex factor × 1.02
Trust factor × 1.10
Before / After Recalculation
Example benchmark revision
Before update 171.80 Š Older grade weighting and weaker trust factor from early benchmark assumptions.
After update 138.01 Š Updated sport benchmarks, refined trust model, and current scoring version v2026.1.
Fairness outcome Comparable dataset Older and newer efforts remain on the same benchmark standard and inflation is reduced.
Activity Detail Standard
What athletes should always see
Every detail page should show calculated score, Trust Score, scoring version, and whether the activity has been recalculated under a newer model.
Distance10.24 km
Duration47:48
Pace4:40/km
Reward138.01 Š
FAQ
Scoring questions answered
Why did my activity score change?
During the benchmarking phase, ShadoU may update factor weights or sport benchmarks. When this happens, historical activities can be recalculated so all athletes remain on the same scoring standard.
Does recalculation reduce fairness?
No. Recalculation preserves fairness by keeping scores comparable across time, sports, and scoring versions instead of leaving older efforts on outdated logic.
What is Trust Score?
Trust Score estimates how reliable an activity appears based on recorded route consistency, speed realism, elevation quality, source confidence, and related validation signals.
Will ShadoU use AI?
Later versions may use AI-assisted analysis to improve validation of activities and long-term user trust patterns. The goal is better fairness and transparency, not hidden scoring bias.
Will scoring stop changing after benchmarking?
That is the plan. The 2026 cycle is specifically for benchmark setting, after which scoring changes should become rarer and more deliberate.