diff --git a/awpy/analytics/map_control.py b/awpy/analytics/map_control.py
index d9727c9b1..b232a8f10 100644
--- a/awpy/analytics/map_control.py
+++ b/awpy/analytics/map_control.py
@@ -292,7 +292,7 @@ def _extract_team_metadata(
     """
     coords = ("x", "y", "z")
     alive_players: list[PlayerPosition] = [
-        [player[dim] for dim in coords]
+        tuple(player[dim] for dim in coords)
         for player in side_data["players"] or []
         if player["isAlive"]
     ]
diff --git a/awpy/analytics/nav.py b/awpy/analytics/nav.py
index 9dde5cd1a..533d8c89a 100644
--- a/awpy/analytics/nav.py
+++ b/awpy/analytics/nav.py
@@ -39,7 +39,7 @@
 from collections import defaultdict
 from itertools import pairwise
 from statistics import mean, median
-from typing import Literal, get_args
+from typing import Literal, get_args, overload
 
 import networkx as nx
 import numpy as np
@@ -56,6 +56,8 @@
     DistanceType,
     GameFrame,
     PlaceMatrix,
+    PlayerPosition,
+    PlayerPosition2D,
     TileId,
     Token,
 )
@@ -104,8 +106,22 @@ def point_in_area(map_name: str, area_id: int, point: list[float]) -> bool:
     return contains_x and contains_y
 
 
+@overload
 def find_closest_area(
-    map_name: str, point: list[float], *, flat: bool = False
+    map_name: str, point: PlayerPosition, *, flat: Literal[False] = ...
+) -> ClosestArea:
+    ...
+
+
+@overload
+def find_closest_area(
+    map_name: str, point: PlayerPosition2D, *, flat: Literal[True] = ...
+) -> ClosestArea:
+    ...
+
+
+def find_closest_area(
+    map_name: str, point: PlayerPosition | PlayerPosition2D, *, flat: bool = False
 ) -> ClosestArea:
     """Finds the closest area in the nav mesh.
 
@@ -113,7 +129,7 @@ def find_closest_area(
 
     Args:
         map_name (string): Map to search
-        point (list): Point as a list [x,y,z]
+        point (tuple): Point as a tuple (x,y,z) or (x, y)
         flat (Boolean): Whether z should be ignored.
 
     Returns:
@@ -128,10 +144,10 @@ def find_closest_area(
         raise ValueError(msg)
     if flat:
         if len(point) != 2:  # noqa: PLR2004
-            msg = "Point must be a list [X,Y] when flat is True"
+            msg = "Point must be a tuple (X,Y) when flat is True"
             raise ValueError(msg)
     elif len(point) != 3:  # noqa: PLR2004
-        msg = "Point must be a list [X,Y,Z]"
+        msg = "Point must be a list (X,Y,Z)"
         raise ValueError(msg)
     closest_area: ClosestArea = {
         "mapName": map_name,
@@ -148,7 +164,8 @@ def find_closest_area(
             dist = np.sqrt(
                 (point[0] - avg_x) ** 2
                 + (point[1] - avg_y) ** 2
-                + (point[2] - avg_z) ** 2
+                # If flat is false we have a 3D PlayerPosition
+                + (point[2] - avg_z) ** 2  # pyright: ignore [reportGeneralTypeIssues]
             )
         if dist < closest_area["distance"]:
             closest_area["areaId"] = area
@@ -184,7 +201,7 @@ def _check_arguments_area_distance(
     if map_name not in NAV:
         msg = "Map not found."
         raise ValueError(msg)
-    if (area_a not in NAV[map_name].keys()) or (area_b not in NAV[map_name].keys()):
+    if (area_a not in NAV[map_name]) or (area_b not in NAV[map_name]):
         msg = "Area ID not found."
         raise ValueError(msg)
     if dist_type not in get_args(DistanceType):
@@ -342,8 +359,8 @@ def area_distance(
 
 def point_distance(
     map_name: str,
-    point_a: list[float],
-    point_b: list[float],
+    point_a: PlayerPosition,
+    point_b: PlayerPosition,
     dist_type: PointDistanceType = "graph",
 ) -> DistanceObject:
     """Returns the distance between two points.
@@ -442,7 +459,7 @@ def generate_position_token(map_name: str, frame: GameFrame) -> Token:
     for player in ct_players:
         if player["isAlive"]:
             closest_area = find_closest_area(
-                map_name, [player["x"], player["y"], player["z"]]
+                map_name, (player["x"], player["y"], player["z"])
             )
             ct_token[
                 map_area_names.index(NAV[map_name][closest_area["areaId"]]["areaName"])
@@ -452,7 +469,7 @@ def generate_position_token(map_name: str, frame: GameFrame) -> Token:
     for player in t_players:
         if player["isAlive"]:
             closest_area = find_closest_area(
-                map_name, [player["x"], player["y"], player["z"]]
+                map_name, (player["x"], player["y"], player["z"])
             )
             t_token[
                 map_area_names.index(NAV[map_name][closest_area["areaId"]]["areaName"])
@@ -784,20 +801,20 @@ def generate_centroids(
         # Get the centroids and rep. point of the hull
         try:
             my_polygon = Polygon(hull)
-            my_centroid = [
+            my_centroid = (
                 *list(np.array(my_polygon.centroid.coords)[0]),
                 mean(z_s[area_name]),
-            ]
-            rep_point = [
+            )
+            rep_point = (
                 *list(np.array(my_polygon.representative_point().coords)[0]),
                 mean(z_s[area_name]),
-            ]
+            )
         except ValueError:  # A LinearRing must have at least 3 coordinate tuples
-            my_centroid = [
+            my_centroid = (
                 mean([x for (x, _) in hull]),
                 mean([y for (_, y) in hull]),
                 mean(z_s[area_name]),
-            ]
+            )
             rep_point = my_centroid
 
         # Find the closest tile for these points
diff --git a/awpy/types.py b/awpy/types.py
index bbc33c21e..24472ec89 100644
--- a/awpy/types.py
+++ b/awpy/types.py
@@ -708,8 +708,11 @@ class RoundStatistics(TypedDict):
 # Type to represent tile id for navigation tiles.
 TileId: TypeAlias = int
 
-# Type to represent player position (list of floats [x, y, z])
-PlayerPosition: TypeAlias = list[float]
+# Type to represent player position (tuple of floats [x, y, z])
+PlayerPosition: TypeAlias = tuple[float, float, float]
+
+# Type to represent player position (tuple of floats [x, y, z])
+PlayerPosition2D: TypeAlias = tuple[float, float]
 
 # Return type for awpy.analytics.map_control._bfs_helper.
 # Contains map control values for one team.
diff --git a/pyproject.toml b/pyproject.toml
index d9abbb36c..cf84bf948 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -194,7 +194,8 @@ extension-pkg-allow-list = ["cv2"]
 
 [tool.pylint.basic]
 # Good variable names which should always be accepted, separated by a comma.
-good-names = ["i", "j", "k", "ex", "Run", "_", "x", "y", "z", "e"]
+good-names = ["i", "j", "k", "ex", "Run", "_", "x", "y", "z", "e", "PlayerPosition2D"]
+include-naming-hint = true
 
 [tool.pylint.design]
 # Maximum number of arguments for function / method.
diff --git a/tests/test_nav.py b/tests/test_nav.py
index d1115d1e6..466568729 100644
--- a/tests/test_nav.py
+++ b/tests/test_nav.py
@@ -517,11 +517,13 @@ def test_point_in_area(self):
     def test_find_area(self):
         """Tests find_area."""
         with pytest.raises(ValueError, match="Map not found."):
-            find_closest_area(map_name="test", point=[0, 0, 0])
-        with pytest.raises(ValueError, match=re.escape("Point must be a list [X,Y,Z]")):
+            find_closest_area(map_name="test", point=(0, 0, 0))
+        with pytest.raises(
+            ValueError, match=re.escape("Point must be a tuple (X,Y,Z)")
+        ):
             find_closest_area(map_name="de_dust2", point=[0, 0])
         with pytest.raises(
-            ValueError, match=re.escape("Point must be a list [X,Y] when flat is True")
+            ValueError, match=re.escape("Point must be a tuple (X,Y) when flat is True")
         ):
             find_closest_area(map_name="de_dust2", point=[0, 0, 0], flat=True)
         example_area = NAV["de_dust2"][152]