diff --git a/.idea/Model.iml b/.idea/Model.iml
index c6561970..e1ca1b70 100644
--- a/.idea/Model.iml
+++ b/.idea/Model.iml
@@ -7,7 +7,7 @@
       <sourceFolder url="file://$MODULE_DIR$/open_uprn" isTestSource="false" />
       <sourceFolder url="file://$MODULE_DIR$/recommendations" isTestSource="false" />
     </content>
-    <orderEntry type="jdk" jdkName="Fastapi-backend" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Python 3.9 (Stonewater Map App)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
index 50cad4ca..b1ee5ffa 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -3,7 +3,7 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.10 (backend)" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Fastapi-backend" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (Stonewater Map App)" project-jdk-type="Python SDK" />
   <component name="PyCharmProfessionalAdvertiser">
     <option name="shown" value="true" />
   </component>
diff --git a/recommendations/Recommendations.py b/recommendations/Recommendations.py
index 5525b7a0..80cc06b4 100644
--- a/recommendations/Recommendations.py
+++ b/recommendations/Recommendations.py
@@ -582,6 +582,7 @@ class Recommendations:
         if rec_phase == starting_phase:
             return {
                 "sap": float(property_instance.data["current-energy-efficiency"]),
+                "sap_prediction": float(property_instance.data["current-energy-efficiency"]),
                 "carbon": float(property_instance.data["co2-emissions-current"]),
                 "heat_demand": float(property_instance.data["energy-consumption-current"]),
             }
@@ -599,12 +600,13 @@ class Recommendations:
         if not previous_phase_reps:
             return {
                 "sap": float(property_instance.data["current-energy-efficiency"]),
+                "sap_prediction": float(property_instance.data["current-energy-efficiency"]),
                 "carbon": float(property_instance.data["co2-emissions-current"]),
                 "heat_demand": float(property_instance.data["energy-consumption-current"]),
             }
 
         # Median fallback (including zero-length case)
-        keys = ("sap", "carbon", "heat_demand")
+        keys = ("sap", "sap_prediction", "carbon", "heat_demand")
         return {
             key: np.median([item[key] for item in previous_phase_reps])
             for key in keys