diff --git a/src/plotman/analyzer.py b/src/plotman/analyzer.py
index 67073805..e2320c6d 100644
--- a/src/plotman/analyzer.py
+++ b/src/plotman/analyzer.py
@@ -1,7 +1,6 @@
 import os
 import re
 import statistics
-import sys
 
 import texttable as tt
 
@@ -18,6 +17,8 @@ def analyze(logfilenames, clipterminals, bytmp, bybitfield):
             n_sorts = 0
             n_uniform = 0
             is_first_last = False
+            total_time = 0
+            copy_time = 0
 
             # Read the logfile, triggering various behaviors on various
             # regex matches.
@@ -89,14 +90,27 @@ def analyze(logfilenames, clipterminals, bytmp, bybitfield):
                     if clipterminals and is_first_last:
                         pass  # Drop this data; omit from statistics.
                     else:
-                        data.setdefault(sl, {}).setdefault('total time', []).append(float(m.group(1)))
-                        for phase in ['1', '2', '3', '4']:
-                            data.setdefault(sl, {}).setdefault('phase ' + phase, []).append(phase_time[phase])
-                        data.setdefault(sl, {}).setdefault('%usort', []).append(100 * n_uniform // n_sorts)
+                        total_time = float(m.group(1))
+
+                # Copy Time.  Sample log line:
+                # Copy time = 958.194 seconds. CPU (6.290%) Sat May 22 17:39:57 2021
+                m = re.search(r'^Copy time = (\d+.\d+) seconds.*', line)
+                if m:
+                    copy_time = float(m.group(1))
+
+                # Rename plot.  Sample log line:
+                # Renamed final file from "/mnt/d1/a4.plot.2.tmp" to "/mnt/d2/a4.plot"
+                m = re.search(r'^Renamed final file.*', line)
+                if m:
+                    data.setdefault(sl, {}).setdefault('copy time', []).append(copy_time)
+                    data.setdefault(sl, {}).setdefault('total time', []).append(total_time + copy_time)
+                    for phase in ['1', '2', '3', '4']:
+                        data.setdefault(sl, {}).setdefault('phase ' + phase, []).append(phase_time[phase])
+                    data.setdefault(sl, {}).setdefault('%usort', []).append(100 * n_uniform // n_sorts)
 
     # Prepare report
     tab = tt.Texttable()
-    all_measures = ['%usort', 'phase 1', 'phase 2', 'phase 3', 'phase 4', 'total time']
+    all_measures = ['%usort', 'phase 1', 'phase 2', 'phase 3', 'phase 4', 'copy time', 'total time']
     headings = ['Slice', 'n'] + all_measures
     tab.header(headings)