diff --git a/utils.py b/utils.py
index a56c1f4..fd98032 100644
--- a/utils.py
+++ b/utils.py
@@ -249,12 +249,17 @@ def get_exercise_graph_model(title, estimated_1rm, repetitions, weight, start_da
 
     best_fit_points = []
     try:
-        # Calculate line of best fit using NumPy
-        m, b = np.polyfit(relative_positions, estimated_1rm_scaled, 1)
-        y_best_fit = m * relative_positions + b
-        best_fit_points = list(zip(y_best_fit.tolist(), relative_positions.tolist()))
-    except np.linalg.LinAlgError:
-        pass
+        if len(relative_positions) > 1:  # Ensure there are enough points for polyfit
+            # Calculate line of best fit using NumPy
+            m, b = np.polyfit(relative_positions, estimated_1rm_scaled, 1)
+            y_best_fit = m * relative_positions + b
+            best_fit_points = list(zip(y_best_fit.tolist(), relative_positions.tolist()))
+        else:
+            raise ValueError("Not enough data points for polyfit")
+    except (np.linalg.LinAlgError, ValueError) as e:
+        # Handle cases where polyfit fails
+        best_fit_points = []
+        m, b = 0, 0
 
     # Prepare data for plots
     repetitions_data = {