Fix auction: realistic valuations, multi-strategy comparison, role chips rendering

- Realistic price model: scales by FVM (Lautaro FVM=370 → ~199 cr, QI×5.7)
  Formula: qi * max(1.2, fvm/65) with forward premium and small-sample penalty
- 5 strategy engines: Balanced, Value, Stars, Safe, MILP-Lite
  Each with different score functions (value ratio, stability, risk adj)
- Strategy comparison radar grid: total FV, efficiency, stars, avg games, budget%
- Squad table with color-coded price bands (gold >100cr, sky >50cr, green <50cr)
- Market distribution histogram by role
- Top value picks section with cr/FV efficiency
- Fixed role_chip HTML rendering in all pages (unsafe_allow_html=True)
- Verified: 0 errors, 31 role chips, 5 KPIs, 8 charts

dashboard/pages/04_lineup.py

@@ -166,6 +166,7 @@ def run():
         for p in bench[:7]:
             st.markdown(
                 f'{role_chip(p.get("role","C"))} {p["player"]} — FV {p.get("fv_mean",0):.2f}',
+                unsafe_allow_html=True,
             )
 
     st.divider()