diff --git a/taiga/stats/services.py b/taiga/stats/services.py
index 61e30c51..a0d65c45 100644
--- a/taiga/stats/services.py
+++ b/taiga/stats/services.py
@@ -15,7 +15,9 @@
 
 from django.apps import apps
 from django.db.models import Count
+from django.db.models import Q
 from django.utils import timezone
+
 from datetime import timedelta
 from collections import OrderedDict
 
@@ -25,17 +27,23 @@ def get_users_stats():
     queryset =  model.objects.filter(is_active=True, is_system=False)
     stats = OrderedDict()
 
-    # Total
-    stats["total"] = queryset.count()
-
-    # Average last 7 days
     today = timezone.now()
-    seven_days_ago = today-timedelta(days=7)
-    stats["average_last_seven_days"] = (queryset.filter(date_joined__range=(seven_days_ago, today))
+    yesterday = today - timedelta(days=1)
+    seven_days_ago = yesterday - timedelta(days=7)
+    a_year_ago = today - timedelta(days=365)
+
+    stats["total"] = queryset.count()
+    stats["today"] = queryset.filter(date_joined__year=today.year,
+                                     date_joined__month=today.month,
+                                     date_joined__day=today.day).count()
+    stats["average_last_seven_days"] = (queryset.filter(date_joined__range=(seven_days_ago, yesterday))
                                                 .count()) / 7
+    stats["average_last_five_working_days"] = (queryset.filter(date_joined__range=(seven_days_ago, yesterday))
+                                                       .exclude(Q(date_joined__week_day=1) |
+                                                                Q(date_joined__week_day=7))
+                                                       .count()) / 5
 
     # Graph: users last year
-    a_year_ago = timezone.now() - timedelta(days=365)
     # increments ->
     #   SELECT date_trunc('week', "filtered_users"."date_joined") AS "week",
     #          count(*)
@@ -68,12 +76,20 @@ def get_projects_stats():
     queryset =  model.objects.all()
     stats = OrderedDict()
 
-    stats["total"] = queryset.count()
-
     today = timezone.now()
-    seven_days_ago = today-timedelta(days=7)
-    stats["average_last_seven_days"] = (queryset.filter(created_date__range=(seven_days_ago, today))
+    yesterday = today - timedelta(days=1)
+    seven_days_ago = yesterday - timedelta(days=7)
+
+    stats["total"] = queryset.count()
+    stats["today"] = queryset.filter(created_date__year=today.year,
+                                     created_date__month=today.month,
+                                     created_date__day=today.day).count()
+    stats["average_last_seven_days"] = (queryset.filter(created_date__range=(seven_days_ago, yesterday))
                                                  .count()) / 7
+    stats["average_last_five_working_days"] = (queryset.filter(created_date__range=(seven_days_ago, yesterday))
+                                                       .exclude(Q(created_date__week_day=1) |
+                                                                Q(created_date__week_day=7))
+                                                       .count()) / 5
 
     stats["total_with_backlog"] = (queryset.filter(is_backlog_activated=True,
                                                    is_kanban_activated=False)
@@ -98,10 +114,19 @@ def get_user_stories_stats():
     queryset =  model.objects.all()
     stats = OrderedDict()
 
-    stats["total"] = queryset.count()
-
     today = timezone.now()
-    seven_days_ago = today-timedelta(days=7)
-    stats["average_last_seven_days"] = (queryset.filter(created_date__range=(seven_days_ago, today))
+    yesterday = today - timedelta(days=1)
+    seven_days_ago = yesterday - timedelta(days=7)
+
+    stats["total"] = queryset.count()
+    stats["today"] = queryset.filter(created_date__year=today.year,
+                                     created_date__month=today.month,
+                                     created_date__day=today.day).count()
+    stats["average_last_seven_days"] = (queryset.filter(created_date__range=(seven_days_ago, yesterday))
                                                  .count()) / 7
+    stats["average_last_five_working_days"] = (queryset.filter(created_date__range=(seven_days_ago, yesterday))
+                                                       .exclude(Q(created_date__week_day=1) |
+                                                                Q(created_date__week_day=7))
+                                                       .count()) / 5
+
     return stats