diff --git a/src/sc2_datasets/transforms/mmr_vs_result.py b/src/sc2_datasets/transforms/mmr_vs_result.py
index 1f52879..b594a25 100644
--- a/src/sc2_datasets/transforms/mmr_vs_result.py
+++ b/src/sc2_datasets/transforms/mmr_vs_result.py
@@ -29,7 +29,22 @@ def mmr_vs_result(sc2_replay: SC2ReplayData) -> Tuple[torch.Tensor, torch.Tensor
         dtype=torch.float,
     )
 
-    result_dict = {"Loss": 0, "Win": 1, "Victory": 1, "Defeat": 0}
+    result_dict = {
+        "Loss": 0,
+        "Win": 1,
+        "Victory": 1,
+        "Defeat": 0,
+        "Undecided": -1,
+        "Draw": -1,
+        "Tie": -1,
+    }
+
+    # Check if result is "Undecided", "Draw", or "Tie" and return None to skip this replay
+    skip_results = ["Undecided", "Draw", "Tie"]
+    if sc2_replay.toonPlayerDescMap[0].toon_player_info.result in skip_results:
+        return None, None
+
+    # Map result to label tensor
     label_tensor = torch.tensor(
         result_dict[sc2_replay.toonPlayerDescMap[0].toon_player_info.result],
         dtype=torch.int8,
diff --git a/src/sc2_datasets/transforms/pytorch/economy_vs_outcome.py b/src/sc2_datasets/transforms/pytorch/economy_vs_outcome.py
index 647b62e..f234088 100644
--- a/src/sc2_datasets/transforms/pytorch/economy_vs_outcome.py
+++ b/src/sc2_datasets/transforms/pytorch/economy_vs_outcome.py
@@ -59,7 +59,24 @@ def economy_average_vs_outcome(
     # Creating feature tensor:
     feature_tensor = torch.tensor(feature_list, dtype=torch.float32)
 
-    result_dict = {"Loss": 0, "Win": 1, "Victory": 1, "Defeat": 0}
+    result_dict = {
+        "Loss": 0,
+        "Win": 1,
+        "Victory": 1,
+        "Defeat": 0,
+        "Undecided": -1,
+        "Draw": -1,
+        "Tie": -1,
+    }
+
+    # Check if any player's result is "Undecided", "Draw", or "Tie" and return None to skip this replay
+    skip_results = ["Undecided", "Draw", "Tie"]
+    if any(
+        player_desc.toon_player_info.result in skip_results
+        for player_desc in sc2_replay.toonPlayerDescMap
+    ):
+        return None, None
+
     target = result_dict[sc2_replay.toonPlayerDescMap[0].toon_player_info.result]
 
     return feature_tensor, target
diff --git a/src/sc2_datasets/transforms/utils.py b/src/sc2_datasets/transforms/utils.py
index c3cb062..e74313a 100644
--- a/src/sc2_datasets/transforms/utils.py
+++ b/src/sc2_datasets/transforms/utils.py
@@ -235,7 +235,22 @@ def select_outcome_1v1(sc2_replay: SC2ReplayData) -> Dict[str, int]:
 
     player_outcome = {"1": 0, "2": 0}
 
-    result_dict = {"Loss": 0, "Win": 1, "Victory": 1, "Defeat": 0}
+    result_dict = {
+        "Loss": 0,
+        "Win": 1,
+        "Victory": 1,
+        "Defeat": 0,
+        "Undecided": -1,
+        "Draw": -1,
+        "Tie": -1,
+    }
+
+    # Check if any player has an "Undecided", "Draw", or "Tie" result and return None to indicate skipping
+    skip_results = ["Undecided", "Draw", "Tie"]
+    for toon_desc_map in sc2_replay.toonPlayerDescMap:
+        if toon_desc_map.toon_player_info.result in skip_results:
+            return None
+
     for toon_desc_map in sc2_replay.toonPlayerDescMap:
         result = result_dict[toon_desc_map.toon_player_info.result]
         player_outcome[toon_desc_map.toon_player_info.playerID] = result