diff --git a/bin/run_all_tests.rb b/bin/run_all_tests.rb
index 3530490..c9ae967 100644
--- a/bin/run_all_tests.rb
+++ b/bin/run_all_tests.rb
@@ -25,7 +25,7 @@ board_rep = "quack"
 model_name = "quack_test_0_ply"
 
 
-run_stuff(board_rep, model_name)
+#run_stuff(board_rep, model_name)
 
 
 #board_rep = "quack"
@@ -42,7 +42,7 @@ board_rep = "quack-fat"
 model_name = "quack-fat_test_0_ply"
 
 
-run_stuff(board_rep, model_name)
+#run_stuff(board_rep, model_name)
 
 #board_rep = "quack-fat"
 #model_name = "quack-fat_test_1_ply"
@@ -59,7 +59,7 @@ board_rep = "quack-norm"
 model_name = "quack-norm_test_0_ply"
 
 
-run_stuff(board_rep, model_name)
+#run_stuff(board_rep, model_name)
 
 #board_rep = "quack-norm"
 #model_name = "quack-norm_test_1_ply"
@@ -73,7 +73,7 @@ run_stuff(board_rep, model_name)
 
 
 board_rep = "tesauro"
-model_name = "tesauro_test_0_ply"
+model_name = "tesauro_test3_0_ply"
 
 
 run_stuff(board_rep, model_name)
diff --git a/plot.py b/plot.py
index 5957854..7329523 100644
--- a/plot.py
+++ b/plot.py
@@ -47,27 +47,36 @@ def dataframes(model_name):
 
 
 if __name__ == '__main__':
-    fig, ax = plt.subplots(1, 1)
+    fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True, sharey=True)
 
-    plt.ion()
-    plt.title('Mean over episodes')
-    plt.xlabel('Episodes trained')
-    plt.ylabel('Mean')
-    plt.grid(True)
+    #plt.ion()
+    ax1.set_title('Mean over episodes')
+    ax2.set_xlabel('Episodes trained')
+    ax1.set_ylabel('Points-per-game')
+    ax1.grid(True)
+    ax2.grid(True)
 
     #ax.set_xlim(left=0)
-    ax.set_ylim([-2, 2])
+    ax1.set_ylim([-2, 2])
 
-    plt.show()
+    df = dataframes('tesauro-5')['eval']
 
-    while True:
-        df = dataframes('a')['eval']
+    print(df)
 
-        print(df)
-        
+    dumbeval_df = df.query("method == 'dumbeval'")
+    pubeval_df  = df.query("method == 'pubeval'")
+
+    def plot_eval(axis, label, df, c):
         x = df['eps_train']
         y = df['mean']
     
-        plt.scatter(x, y, c=[[1, 0.5, 0]])
-        #fig.canvas.draw()
-        plt.pause(2)
+        axis.scatter(x, y, label=label, c=c, marker="x")
+
+    plot_eval(ax1, "dumbeval", dumbeval_df, [[1, 0.5, 0]])
+    plot_eval(ax2, "pubeval",  pubeval_df,  [[0, 0.5, 1]])
+
+    ax1.legend()
+    ax2.legend()
+
+    
+    plt.show()