diff --git a/kfet/views.py b/kfet/views.py
index c522bb85..7f06b80e 100644
--- a/kfet/views.py
+++ b/kfet/views.py
@@ -1823,23 +1823,17 @@ def order_create(request, pk):
     )
     scale = WeekScale(last=True, n_steps=5, std_chunk=False)
     chunks = scale.chunkify_qs(sales_q, field='group__at')
-    sales = []
 
-    for chunk in chunks:
-        sales.append(
-            {d['article']: d['nb'] for d in chunk}
-        )
+    sales = [
+        {d['article']: d['nb'] for d in chunk}
+        for chunk in chunks
+    ]
 
     initial = []
 
     for article in articles:
         # Get sales for each 5 last weeks
-        v_s1 = sales[0].get(article.pk, 0)
-        v_s2 = sales[1].get(article.pk, 0)
-        v_s3 = sales[2].get(article.pk, 0)
-        v_s4 = sales[3].get(article.pk, 0)
-        v_s5 = sales[4].get(article.pk, 0)
-        v_all = [v_s1, v_s2, v_s3, v_s4, v_s5]
+        v_all = [chunk.get(article.pk, 0) for chunk in sales]
         # Take the 3 greatest (eg to avoid 2 weeks of vacations)
         v_3max = heapq.nlargest(3, v_all)
         # Get average and standard deviation
@@ -1869,11 +1863,7 @@ def order_create(request, pk):
             'category__name': article.category.name,
             'stock': article.stock,
             'box_capacity': article.box_capacity,
-            'v_s1': v_s1,
-            'v_s2': v_s2,
-            'v_s3': v_s3,
-            'v_s4': v_s4,
-            'v_s5': v_s5,
+            'v_all': v_all,
             'v_moy': round(v_moy),
             'v_et': round(v_et),
             'v_prev': round(v_prev),