diff --git a/src/evaluate.c b/src/evaluate.c
diff --git a/src/network.c b/src/network.c
@@ -33,7 +33,7 @@
 PKNetwork PKNN;
 
 static char *PKWeights[] = {
-    #include "weights/pknet_224x32x1.net"
+    #include "weights/pknet_224x32x2.net"
     ""
 };
 
@@ -113,7 +113,8 @@ int fullyComputePKNetwork(Thread *thread) {
                 outputNeurons[i] += layer1Neurons[j] * PKNN.layer1Weights[i][j];
     }
 
-    return MakeScore((int) outputNeurons[0], 0);
+    assert(PKNETWORK_OUTPUTS == PHASE_NB);
+    return MakeScore((int) outputNeurons[MG], (int) outputNeurons[EG]);
 }
 
 int partiallyComputePKNetwork(Thread *thread) {
@@ -130,7 +131,8 @@ int partiallyComputePKNetwork(Thread *thread) {
                 outputNeurons[i] += layer1Neurons[j] * PKNN.layer1Weights[i][j];
     }
 
-    return MakeScore((int) outputNeurons[0], 0);
+    assert(PKNETWORK_OUTPUTS == PHASE_NB);
+    return MakeScore((int) outputNeurons[MG], (int) outputNeurons[EG]);
 }
 
 

diff --git a/src/network.h b/src/network.h
@@ -25,13 +25,13 @@
 
 #define PKNETWORK_INPUTS  (224)
 #define PKNETWORK_LAYER1  ( 32)
-#define PKNETWORK_OUTPUTS (  1)
+#define PKNETWORK_OUTPUTS (  2)
 
 typedef struct PKNetwork {
 
     // PKNetworks are of the form [Input, Hidden Layer 1, Output Layer]
     // Our current Network is [224x32, 32x1]. The Network is trained to
-    // output a Score in CentiPawns for the Midgame only.
+    // output a Score in CentiPawns for the Midgame and Endgame
 
     ALIGN64 float inputWeights[PKNETWORK_LAYER1][PKNETWORK_INPUTS];
     ALIGN64 float inputBiases[PKNETWORK_LAYER1];

diff --git a/src/uci.h b/src/uci.h
@@ -22,7 +22,7 @@
 
 #include "types.h"
 
-#define VERSION_ID "12.64"
+#define VERSION_ID "12.65"
 
 #if defined(USE_PEXT)
     #define ETHEREAL_VERSION VERSION_ID" (PEXT)"

diff --git a/src/weights/pknet_224x32x1.net b/src/weights/pknet_224x32x1.net
diff --git a/src/weights/pknet_224x32x2.net b/src/weights/pknet_224x32x2.net