diff --git a/trap/renderer.py b/trap/renderer.py
index bcbe221..c01764d 100644
--- a/trap/renderer.py
+++ b/trap/renderer.py
@@ -195,7 +195,7 @@ def decorate_frame(frame: Frame, prediction_frame: Frame, first_time: float, con
     cv2.rectangle(img, (0,0), (img.shape[1],25), (0,0,0), -1)
     
     if not prediction_frame:
-        cv2.putText(img, f"Waiting for prediction...", (20,20), cv2.FONT_HERSHEY_PLAIN, 1, (255,255,0), 1)
+        cv2.putText(img, f"Waiting for prediction...", (500,17), cv2.FONT_HERSHEY_PLAIN, 1, (255,255,0), 1)
         # continue
     else:
         inv_H = np.linalg.pinv(prediction_frame.H)
@@ -264,9 +264,9 @@ def decorate_frame(frame: Frame, prediction_frame: Frame, first_time: float, con
         cv2.putText(img, f"{prediction_frame.index - frame.index}", (90,17), cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
         cv2.putText(img, f"{prediction_frame.time - time.time():.2f}s", (200,17), cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
         cv2.putText(img, f"{len(prediction_frame.tracks)} tracks", (500,17), cv2.FONT_HERSHEY_PLAIN, 1, base_color, 1)
-        cv2.putText(img, f"h: {np.average([len(t.history or []) for t in prediction_frame.tracks.values()])}", (580,17),  cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
-        cv2.putText(img, f"ph: {np.average([len(t.predictor_history or []) for t in prediction_frame.tracks.values()])}", (660,17),  cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
-        cv2.putText(img, f"p: {np.average([len(t.predictions or []) for t in prediction_frame.tracks.values()])}", (740,17),  cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
+        cv2.putText(img, f"h: {np.average([len(t.history or []) for t in prediction_frame.tracks.values()]):.2f}", (580,17),  cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
+        cv2.putText(img, f"ph: {np.average([len(t.predictor_history or []) for t in prediction_frame.tracks.values()]):.2f}", (660,17),  cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
+        cv2.putText(img, f"p: {np.average([len(t.predictions or []) for t in prediction_frame.tracks.values()]):.2f}", (740,17),  cv2.FONT_HERSHEY_PLAIN, 1, info_color, 1)
     
     options = []
     for option in ['prediction_horizon','num_samples','full_dist','gmm_mode','z_mode', 'model_dir']: