Page 02_players.py accesses preds['player'] but the empty-warehouse
dummy had 'name' as column. Added 'player' as primary column to
predictions.parquet default schema.
- Load real projections, stats, roster, votes from data/ and mid_outputs/
- 161 FBref features merged per player (xg, passes, tackles, cards, etc.)
- All 12 models trained on real Serie A player pool
- Top projection: Malen (8.49), Martinez L. (8.06), Thuram (7.74)
- Rich player features: cards/90, fouls/90, xG, xA, progressive metrics
- Live Auction Simulator uses real QI/QA/FVM prices
- Dashboard live at http://localhost:8516
- New page 06_dev_preview.py: interactive ML model showcase
- All 12 models initialized from synthetic data with live charts
- Live Auction Simulator: bandit + opponent model + budget optimizer
- Tabbed UI: 6 tabs, one per phase
- Resilient warehouse: returns typed empty DataFrames when no data
- Dev Preview set as default landing page for demo mode
- Live at http://localhost:8507
- Added missing GRIDLINE import to auction page template imports
- New contingency section: per-role backup targets if bids are missed
- Shows up to 12 backup players per role with FV, estimated price, games
- xG values note: synthetic from FBref data (real xG blocked by Cloudflare)
- Players page: fix regression_chart xg_col default (goals_p90 -> xg_p90)
- charts.py: make regression_chart defensive against missing columns
- All pages: replace use_container_width=True with width='stretch'
- Verified: all 5 pages render with zero errors via Playwright browser test
- Add sys.path.insert at top of app.py and all 5 page files
- Fix .streamlit/config.toml CORS/XSRF conflict
- Remove duplicate st.set_page_config from page files
- Verified: all pages import cleanly, dashboard boots via streamlit run
- All 49 tests passing (31 original + 18 dashboard)
ramseshk