Update analytics/recommendation_engine.py

analytics/recommendation_engine.py

@@ -16,6 +16,7 @@ def build_upcoming_hitter_recommendations(
     """
     Decision-layer wrapper.
     Uses simulated fair rows, then adds confidence + recommendation tier.
+    Suppresses low-value PASS rows unless nothing else exists.
     """
     rows = build_upcoming_simulated_rows(
         game_row=game_row,
@@ -43,4 +44,12 @@ def build_upcoming_hitter_recommendations(
         reverse=True,
     )
 
-    return recommendations
+    surfaced = [
+        row for row in recommendations
+        if str(row.get("recommendation_tier", "")).lower() in {"bet", "watch"}
+    ]
+
+    if surfaced:
+        return surfaced
+
+    return recommendations[:1]