diff --git a/web/analysis_service.py b/web/analysis_service.py
index 445f192a..d4eaf1c0 100644
--- a/web/analysis_service.py
+++ b/web/analysis_service.py
@@ -2792,49 +2792,6 @@ def _analyze_summary(city: str, force_refresh: bool = False) -> Dict[str, Any]:
     if deb_val is None:
         deb_val = om_today
 
-    # LGBM enhancement (same as _analyze, so DEB is a single source of truth)
-    if current_forecasts and deb_val is not None:
-        h_times = om_hourly.get("time", [])
-        h_temps = om_hourly.get("temperature_2m", [])
-        h_rad = om_hourly.get("shortwave_radiation", [])
-        peak_hours: list[str] = []
-        if h_temps and h_times and len(h_temps) == len(h_times) and h_rad and len(h_rad) == len(h_times):
-            for i, ts in enumerate(h_times):
-                if isinstance(ts, str) and "T" in ts:
-                    try:
-                        dt = datetime.fromisoformat(ts)
-                        local_h = dt.hour + dt.minute / 60.0
-                    except Exception:
-                        continue
-                    if 11 <= local_h <= 17 and (h_rad[i] and h_rad[i] > 200):
-                        peak_hours.append(ts.split("T")[1][:5])
-        first_peak_h = int(peak_hours[0].split(":")[0]) if peak_hours else 13
-        last_peak_h = int(peak_hours[-1].split(":")[0]) if peak_hours else 15
-        if local_hour_frac > last_peak_h:
-            peak_status = "past"
-        elif first_peak_h <= local_hour_frac <= last_peak_h:
-            peak_status = "in_window"
-        else:
-            peak_status = "before"
-        lgbm_val, _ = predict_lgbm_daily_high(
-            city_name=city,
-            current_forecasts=current_forecasts,
-            deb_prediction=deb_val,
-            current_temp=cur_temp,
-            max_so_far=max_so_far,
-            humidity=_sf(primary_current.get("humidity")),
-            wind_speed_kt=_sf(primary_current.get("wind_speed_kt")),
-            visibility_mi=_sf(primary_current.get("visibility_mi")),
-            local_hour=local_hour,
-            local_date=local_date_str,
-            peak_status=peak_status,
-        )
-        if lgbm_val is not None:
-            current_forecasts["LGBM"] = lgbm_val
-            blended, _weights_info = calculate_dynamic_weights(city, current_forecasts)
-            if blended is not None:
-                deb_val = blended
-
     settlement_today_obs = []
     if use_settlement_current:
         explicit_obs = settlement_current.get("today_obs") or []