Two targeted fixes for inflated country scores (ES 83, SE 77):
1. pseo_country_overview: replace AVG() with population-weighted averages
for avg_opportunity_score and avg_market_score. Madrid/Barcelona now
dominate Spain's average instead of hundreds of 30K-town white-space
towns. Expected ES drop from ~83 to ~55-65.
2. location_opportunity_profile: replace dead sports culture component
(10 pts, tennis data all zeros) with market validation signal.
New country_market CTE aggregates city_market_profile per country_code.
ES (~60/100) → ~6 pts (proven demand). SE (~35/100) → ~3.5 pts
(struggling market). NULL → 0.5 neutral → 5 pts (untested market).
Score budget unchanged: 25+20+30+15+10 = 100 pts.
New dependency: location_opportunity_profile → serving.city_market_profile (no cycle).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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