diff --git a/AZUL Learn Opponent/naive_player.py b/AZUL Learn Opponent/naive_player.py
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+++ b/AZUL Learn Opponent/naive_player.py	
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+# Written by Michelle Blom, 2019
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program.  If not, see <https://www.gnu.org/licenses/>.
+#
+from model import *
+from utils import *
+
+class NaivePlayer(Player):
+    def __init__(self, _id):
+        super().__init__(_id)
+
+    def SelectMove(self, moves, game_state):
+        # Select move that involves placing the most number of tiles
+        # in a pattern line. Tie break on number placed in floor line.
+
+        most_to_line = -1
+        corr_to_floor = 0
+
+        best_move = None
+
+        # print(game_state.bag)
+        # print(game_state.bag_used)
+        # print(game_state.factories)
+        # print(game_state.centre_pool)
+        #
+        # print(moves)
+
+
+        for mid,fid,tgrab in moves:
+            if most_to_line == -1:
+                best_move = (mid,fid,tgrab)
+                most_to_line = tgrab.num_to_pattern_line
+                corr_to_floor = tgrab.num_to_floor_line
+                continue
+
+            if tgrab.num_to_pattern_line > most_to_line:
+                best_move = (mid,fid,tgrab)
+                most_to_line = tgrab.num_to_pattern_line
+                corr_to_floor = tgrab.num_to_floor_line
+            elif tgrab.num_to_pattern_line == most_to_line and \
+                tgrab.num_to_pattern_line < corr_to_floor:
+                best_move = (mid,fid,tgrab)
+                most_to_line = tgrab.num_to_pattern_line
+                corr_to_floor = tgrab.num_to_floor_line
+
+        return best_move