diff --git a/features/person_overview.py b/features/person_overview.py
index 516c298..afc955f 100644
--- a/features/person_overview.py
+++ b/features/person_overview.py
@@ -1,5 +1,4 @@
 
-from datetime import date, timedelta
 from utils import calculate_estimated_1rm, get_exercise_graph_model
 
 
@@ -138,10 +137,6 @@ class PersonOverview:
         # Initialize the exercise sets dictionary
         exercise_sets = {exercise["id"]: {"exercise_id": exercise["id"], "name": exercise["name"], "sets": []} for exercise in exercises}
 
-        workout_start_dates = []
-        set_count = 0
-        exercise_count = len(unique_exercise_ids)
-
         for row in result:
             workout_id = row["workout_id"]
 
@@ -154,8 +149,6 @@ class PersonOverview:
                     "exercises": {exercise["id"]: [] for exercise in exercises}  # Keyed by exercise_id
                 }
 
-                workout_start_dates.append(row["start_date"])
-
             # Add topset to the corresponding exercise
             if row["exercise_id"] and row["topset_id"]:
                 # Add to workout exercises
@@ -172,7 +165,6 @@ class PersonOverview:
                     "workout_start_date": row["start_date"],
                     "exercise_name": row["exercise_name"]
                 })
-                set_count += 1
 
         # Transform into a list of rows
         for workout_id, workout in workout_map.items():
@@ -180,39 +172,11 @@ class PersonOverview:
         
         exercise_progress_graphs = self.generate_exercise_progress_graphs(person_info["person_id"], exercise_sets)
 
-        workout_count = len(workout_start_dates)
-        stats = [{"Text": "Total Workouts", "Value": workout_count},
-             {"Text": "Total Sets", "Value": set_count},
-             {"Text": "Total Exercises", "Value": exercise_count}]
-        if workout_count > 0:
-            first_workout_date = min(workout_start_dates)
-            last_workout_date = max(workout_start_dates)
-
-            stats.append({"Text": "Days Since First Workout", "Value": (
-                date.today() - first_workout_date).days})
-            if workout_count >= 2:
-                stats.append({"Text": "Days Since Last Workout",
-                            "Value": (
-                                date.today() - last_workout_date).days})
-                average_number_sets_per_workout = round(
-                    set_count / workout_count, 1)
-                stats.append({"Text": "Average sets per workout",
-                            "Value": average_number_sets_per_workout})
-
-                training_duration = last_workout_date - first_workout_date
-                if training_duration > timedelta(days=0):
-                    average_workouts_per_week = round(
-                        workout_count / (training_duration.days / 7), 1)
-                    stats.append({"Text": "Average Workouts Per Week",
-                                "Value": average_workouts_per_week})
-
-
         return {
             **person_info,
             "workouts": workouts,
             "selected_exercises": exercises,
-            "exercise_progress_graphs": exercise_progress_graphs,
-            "stats": stats
+            "exercise_progress_graphs": exercise_progress_graphs
         }
     
     def generate_exercise_progress_graphs(self, person_id, exercise_sets):