diff --git a/pomelovsd/ExitMaze/analysis.png b/pomelovsd/ExitMaze/analysis.png
index 17b4ea0..80117d3 100644
Binary files a/pomelovsd/ExitMaze/analysis.png and b/pomelovsd/ExitMaze/analysis.png differ
diff --git a/pomelovsd/ExitMaze/main.ipynb b/pomelovsd/ExitMaze/main.ipynb
index fe52684..3fa579a 100644
--- a/pomelovsd/ExitMaze/main.ipynb
+++ b/pomelovsd/ExitMaze/main.ipynb
@@ -250,13 +250,22 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x1000 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -310,34 +319,10 @@
     "ax2.grid(axis='y', alpha=0.5, linestyle='--')\n",
     "\n",
     "plt.tight_layout()\n",
-    "plt.show()\n"
+    "plt.savefig('analysis.png')\n",
+    "plt.show()\n",
+    "\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f71359e0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 640x480 with 0 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "671b32d2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/pomelovsd/ExitMaze/results.csv b/pomelovsd/ExitMaze/results.csv
index 55e8ac7..971607a 100644
--- a/pomelovsd/ExitMaze/results.csv
+++ b/pomelovsd/ExitMaze/results.csv
@@ -1,16 +1,16 @@
 maze,strategy,time_ms,visited_cells
-small,BFS,0.051,8
+small,BFS,0.031,8
 small,DFS,0.027,8
-small,A*,0.049,8
-medium,BFS,0.039,10
+small,A*,0.039,8
+medium,BFS,0.033,10
 medium,DFS,0.031,10
-medium,A*,0.042,10
-large,BFS,0.962,197
-large,DFS,0.84,197
-large,A*,1.042,197
+medium,A*,0.044,10
+large,BFS,0.641,197
+large,DFS,0.574,197
+large,A*,1.016,197
 empty,BFS,0.01,2
 empty,DFS,0.008,2
 empty,A*,0.01,2
-no_exit,BFS,0.007,1
+no_exit,BFS,0.006,1
 no_exit,DFS,0.005,1
 no_exit,A*,0.006,1