--- a/mozautoeslib/eslib.py
+++ b/mozautoeslib/eslib.py
@@ -1,13 +1,13 @@
 import logging
 # logging.basicConfig(filename='mozautoeslib.log', level=logging.DEBUG)
 
 from pyes import *
-from pyes.facets import QueryFacet
+from pyes.facets import QueryFacet, StatisticalFacet
 
 class ESLib(object):
   """Class with convenience methods for making common types of
      ElasticSearch queries.
   """
 
   def __init__(self, server, index, doc_type=None):
     """Initialize an ESLib object with server address, index, and doc_type.
@@ -75,19 +75,24 @@ class ESLib(object):
       else:
         boolquery.add_must_not(query)
 
   def _make_bool_query(self, include={}, exclude={}, sort=None):
     """Generate a simple bool query to include fields in 'include', and
        exclude fields in 'exclude'.
     """
 
+    if not include and not exclude:
+      return MatchAllQuery()
+
     boolquery = BoolQuery()
-    self._add_fieldlist_to_boolquery(boolquery, include, True)
-    self._add_fieldlist_to_boolquery(boolquery, exclude, False)
+    if include:
+      self._add_fieldlist_to_boolquery(boolquery, include, True)
+    if exclude:
+      self._add_fieldlist_to_boolquery(boolquery, exclude, False)
     if sort:
       boolquery.sort = sort
 
     return boolquery
 
   def ORQuery(self, ORItems, size=10000, doc_type=None, useFieldQueries=False):
     """Return a list of hits that match any of the combination of terms
        specified in the ORItems list of dicts.
@@ -252,16 +257,35 @@ class ESLib(object):
                                     indexes=[self.read_index],
                                     doc_types=self.doc_type)
 
     if 'facets' in result:
       return result['facets']
 
     raise Exception("Key 'facets' not found in response data")
 
+  def statisticalQuery(self, include={}, exclude={}, doc_type=None, fields=None):
+    if doc_type:
+      self.doc_type = doc_type
+
+    masterquery = self._make_bool_query(include, exclude)
+    q = Search(query=masterquery, size=0)
+
+    for field in fields:
+      q.facet.facets.append(StatisticalFacet(name=field, field=field))
+
+    result = self.connection.search(query=q,
+                                    indexes=[self.read_index],
+                                    doc_types=self.doc_type)
+
+    if 'facets' in result:
+      return result['facets']
+
+    raise Exception("Key 'facets' not found in response data")
+
   def frequency(self, include={}, exclude={}, frequency_fields=[], size=30000, doc_type=None):
     """Return a count of the 'size' most frequent terms that are produced
        by a query.
 
        For example, the following produces a list of the top 50 bugs
        in a date range:
 
   result = eslib.frequency(include = {