fix(score): Opportunity Score v7 — calibration fix for saturated markets

Two fixes:
1. dim_locations now sources venues from dim_venues (deduplicated OSM + Playtomic)
   instead of stg_padel_courts (OSM only). Playtomic-only venues are no longer
   invisible to spatial lookups.
2. Country-level supply saturation dampener on supply deficit component.
   Saturated countries (Spain 7.4/100k) get dampened supply deficit (x0.30 → 12 pts max).
   Emerging markets (Germany 0.24/100k) nearly unaffected (x0.98 → ~39 pts).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

transform/sqlmesh_padelnomics/models/foundation/dim_locations.sql

@@ -9,7 +9,7 @@
 --   foundation.dim_countries → country_name_en, country_slug, median_income_pps
 --   stg_nuts2_boundaries + stg_regional_income → EU NUTS-2/NUTS-1 income (spatial join)
 --   stg_income_usa       → US state-level income (PPS-normalised)
---   stg_padel_courts     → padel venue count + nearest court distance (km)
+--   foundation.dim_venues → padel venue count + nearest court distance (km)
 --   stg_tennis_courts    → tennis court count within 25km radius
 --
 -- Income resolution cascade:
@@ -137,10 +137,12 @@ us_income AS (
     PARTITION BY m.admin1_code ORDER BY s.ref_year DESC
   ) = 1
 ),
--- Padel court lat/lon for distance and density calculations
+-- Padel venue lat/lon for distance and density calculations.
+-- Uses dim_venues (deduplicated OSM + Playtomic) instead of stg_padel_courts (OSM only)
+-- so Playtomic-only venues are visible to spatial lookups.
 padel_courts AS (
   SELECT lat, lon, country_code
-  FROM staging.stg_padel_courts
+  FROM foundation.dim_venues
   WHERE lat IS NOT NULL AND lon IS NOT NULL
 ),
 -- Nearest padel court distance per location (bbox pre-filter → exact sphere distance)