diff --git a/docs/manual/source/ReleaseUpdate.rst b/docs/manual/source/ReleaseUpdate.rst
index cdf61f516..1ebc61398 100644
--- a/docs/manual/source/ReleaseUpdate.rst
+++ b/docs/manual/source/ReleaseUpdate.rst
@@ -42,7 +42,7 @@ New in Version 3.0.0:
   * Added option for selecting which quantum numbers to be erased (see  the :ref:`ignorePromptQNumbers<erasePrompt>` option in parameters.ini)
   * Added :ref:`outputFormat <parameterFileOutputFormat>` option to parameters.ini to allow for writing the output using the old format 
   * Changes in missing topologies (coverage): the grouping of topologies is now done only by final states and ignores the topology structure (see :ref:`missing topologies <finalStateSMS>`)
-	* We now report negative log likelihoods, instead of likelihoods 
+  * We now report negative log likelihoods, instead of likelihoods 
   * Z2parity attribute of particles is not longer needed
   * Introduced centralized database dictionary to decrease redundancies in SMS matching (see :ref:`SMS Dictionary <smsDictionary>`)
   * Clustering of SMS for UL results replaced by a (simple) K-means clustering algorithm (see :ref:`Clustering <cluster>`)
diff --git a/smodels/tools/printers/pythonPrinter.py b/smodels/tools/printers/pythonPrinter.py
index b8883305c..02424db5a 100644
--- a/smodels/tools/printers/pythonPrinter.py
+++ b/smodels/tools/printers/pythonPrinter.py
@@ -406,13 +406,13 @@ def _formatTheoryPredictionsCombiner(self, obj):
         r_expected = self._round(obj.getRValue(expected=True))
 
         nll = self._round(obj.likelihood( return_nll = True ))
-        nllmax = self._round(obj.lmax( return_nll = True ))
+        nllmin = self._round(obj.lmax( return_nll = True ))
         nllsm = self._round(obj.lsm( return_nll = True ))
 
         resDict = {'AnalysisID': expIDs,
                    'r': r, 'r_expected': r_expected,
                    'nll': nll,
-                   'nll_min': nllmax,
+                   'nll_min': nllmin,
                    'nll_SM': nllsm}
 
         combRes.append(resDict)