Dashboard
Jumper horse enrichment pipeline overview
Multi-factor quality proxy across enrichment pipeline
32
Composite score (0-100) balancing coverage depth and pipeline conversion
Projected conversions based on current enrichment rates
Priced horses
Projected in next 300 horses
32,963 → 300
HorseTelex matched
Projection by current match rate
4,464 → 41
FEI enriched
Projection by FEI ID coverage
1,303 → 12
Jumpscore available
Projection by performance profile
1,392 → 13
Coverage gaps that usually impact downstream models
Weakest 3 fields
Strongest 3 fields
Pulls model artifacts from available training outputs and turns them into operational insights
Advanced model baseline
Best model: GBR
0.474 R² · MAE 4,281.281
Feature influence
Top feature signals
Price prediction CV
Best CV model: XGBoost
0.164 R² · MAE 5,722
Total Horses
32,963
Sources
93
auction sites
Studbooks
233
registries
Avg Coverage
40%
across all fields
HorseTelex
14%
4,464 matched
With Jumpscore
1,392
4% of total
Where performance scores come from
Horses matched across systems
Data source coverage per horse
93 sources feed the pipeline. Bars = horses per source, blue line = cumulative share.
Top 5
52%
Top 10
72%
Long tail
58 (<100)
HHI
736 /10,000
All 233 registries sized by horse count. Top 5 account for 22%, top 20 for 31%.
Leaders by horse count
Horses born 2000–2026
Estimated value distribution
Percentage of horses with each enrichment field populated