diff --git a/src/pytest_benchmark/table.py b/src/pytest_benchmark/table.py
index d10699b..ed086e5 100644
--- a/src/pytest_benchmark/table.py
+++ b/src/pytest_benchmark/table.py
@@ -63,7 +63,7 @@ def display(self, tr, groups, progress_reporter=report_progress):
                 "iterations": "Iterations",
                 "iqr": "IQR",
                 "median": "Median",
-                "outliers": "Outliers(*)",
+                "outliers": "Outliers",
                 "ops": "OPS ({0}ops/s)".format(ops_unit) if ops_unit else "OPS",
             }
             widths = {
diff --git a/tests/test_storage.py b/tests/test_storage.py
index bff2543..f066ee1 100644
--- a/tests/test_storage.py
+++ b/tests/test_storage.py
@@ -302,10 +302,10 @@ def test_compare_1(sess, LineMatcher):
         '-changes.json',
         '',
         '*------------------------------------------------------------------------ benchmark: 2 tests -----------------------------------------------------------------------*',
-        'Name (time in ns)               *      Min                 *Max                Mean              StdDev              Median                IQR            Outliers(*)  Rounds  Iterations  OPS (Mops/s) *',
-        '--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------*',
-        '*xfast_parametrized[[]0[]] (0001*)     217.3145 (1.0)      11*447.3891 (1.0)      262.2408 (1.00)     214.0442 (1.0)      220.1664 (1.00)     38.2154 (2.03)         90;1878    9987         418        3.8133 (1.00)*',
-        '*xfast_parametrized[[]0[]] (NOW) *     217.9511 (1.00)     13*290.0380 (1.16)     261.2051 (1.0)      263.9842 (1.23)     220.1638 (1.0)      18.8080 (1.0)         160;1726    9710         431        3.8284 (1.0)*',
+        'Name (time in ns)               *      Min                 *Max                Mean              StdDev              Median                IQR            Outliers  Rounds  Iterations  OPS (Mops/s) *',
+        '-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------*',
+        '*xfast_parametrized[[]0[]] (0001*)     217.3145 (1.0)      11*447.3891 (1.0)      262.2408 (1.00)     214.0442 (1.0)      220.1664 (1.00)     38.2154 (2.03)      90;1878    9987         418        3.8133 (1.00)*',
+        '*xfast_parametrized[[]0[]] (NOW) *     217.9511 (1.00)     13*290.0380 (1.16)     261.2051 (1.0)      263.9842 (1.23)     220.1638 (1.0)      18.8080 (1.0)      160;1726    9710         431        3.8284 (1.0)*',
         '--------------------------------------------------------------------------------------------------------------------------------------------------------------------*',
         'Legend:',
         '  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.',
@@ -331,10 +331,10 @@ def test_compare_2(sess, LineMatcher):
         'Comparing against benchmarks from: 0002_b87b9aae14ff14a7887a6bbaa9731b9a8760555d_20150814_190348_uncommitted-changes.json',
         '',
         '*------------------------------------------------------------------------ benchmark: 2 tests -----------------------------------------------------------------------*',
-        'Name (time in ns)            *         Min                 *Max                Mean              StdDev              Median                IQR            Outliers(*)  Rounds  Iterations  OPS (Mops/s)*',
+        'Name (time in ns)            *         Min                 *Max                Mean              StdDev              Median                IQR            Outliers  Rounds  Iterations  OPS (Mops/s)*',
         '--------------------------------------------------------------------------------------------------------------------------------------------------------------------*',
-        '*xfast_parametrized[[]0[]] (0002*)     216.9028 (1.0)       7*739.2997 (1.0)      254.0585 (1.0)        0.0000 (1.0)      219.8103 (1.0)      27.3309 (1.45)        235;1688   11009         410        3.9361 (1.0)*',
-        '*xfast_parametrized[[]0[]] (NOW) *     217.9511 (1.00)     13*290.0380 (1.72)     261.2051 (1.03)     263.9842 (inf)      220.1638 (1.00)     18.8080 (1.0)         160;1726    9710         431        3.8284 (0.97)*',
+        '*xfast_parametrized[[]0[]] (0002*)     216.9028 (1.0)       7*739.2997 (1.0)      254.0585 (1.0)        0.0000 (1.0)      219.8103 (1.0)      27.3309 (1.45)     235;1688   11009         410        3.9361 (1.0)*',
+        '*xfast_parametrized[[]0[]] (NOW) *     217.9511 (1.00)     13*290.0380 (1.72)     261.2051 (1.03)     263.9842 (inf)      220.1638 (1.00)     18.8080 (1.0)      160;1726    9710         431        3.8284 (0.97)*',
         '--------------------------------------------------------------------------------------------------------------------------------------------------------------------*',
         'Legend:',
         '  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.',