diff --git a/db.py b/db.py
index 4227c40..d07df51 100644
--- a/db.py
+++ b/db.py
@@ -7,7 +7,7 @@ from urllib.parse import urlparse
 from flask import g
 
 
-from utils import get_all_exercises_from_topsets, get_exercise_graph_model, get_stats_from_topsets, get_workouts
+from utils import get_all_exercises_from_topsets, get_exercise_graph_model, get_stats_from_topsets, get_topsets_for_person, get_workouts
 
 
 class DataBase():
@@ -192,7 +192,8 @@ class DataBase():
             'PersonName': next((t['PersonName'] for t in topsets), 'Unknown'),
             'Stats': get_stats_from_topsets(topsets),
             'Exercises': get_all_exercises_from_topsets(topsets),
-            'Workouts': get_workouts(topsets)
+            'Workouts': get_workouts(topsets),
+            'ExerciseProgressGraphs': get_topsets_for_person(topsets)
         }
 
     def get_workout(self, person_id, workout_id):
diff --git a/templates/person.html b/templates/person.html
index 1296ffd..3b00e1a 100644
--- a/templates/person.html
+++ b/templates/person.html
@@ -163,13 +163,8 @@
 </div>
 
 <div class="mt-4 mb-4 w-full grid grid-cols-1 2xl:grid-cols-2 gap-4">
-    {% for exercise_id in selected_exercise_ids %}
-    <div class="bg-white shadow rounded-lg p-4 sm:p-6 xl:p-8 ">
-        <div class="hidden"
-            hx-get="{{ url_for('get_exercise_progress_for_user', person_id=person['PersonId'], exercise_id=exercise_id, min_date=min_date, max_date=max_date) }}"
-            hx-trigger="load" hx-target="this" hx-swap="outerHTML">
-        </div>
-    </div>
+    {% for graph in person['ExerciseProgressGraphs'] %}
+    {{ render_partial('partials/sparkline.html', **graph['ExerciseProgressGraph']) }}
     {% endfor %}
 </div>
 
diff --git a/utils.py b/utils.py
index a2cfd0b..7f59d3f 100644
--- a/utils.py
+++ b/utils.py
@@ -271,7 +271,7 @@ def get_exercise_graph_model(title, estimated_1rm, repetitions, weight, start_da
         # Generate points along the line of best fit
         y_best_fit = [m * xi + b for xi in x]
         best_fit_points = list(zip(y_best_fit, relative_positions))
-    except np.linalg.LinAlgError:
+    except:
         pass
 
     # Create messages and zip data for SVG plotting