diff --git a/lottery_predictor/analyze.py b/lottery_predictor/analyze.py
index 72a8e51..76d1b42 100644
--- a/lottery_predictor/analyze.py
+++ b/lottery_predictor/analyze.py
@@ -6,15 +6,18 @@ from sqlalchemy import select
 
 from data.database import Base, dal, project_variables
 import util.drawing as drawutil
-import util.environment as envutil
-
-project_variables = envutil.load_environment_variables()
 
 
 def load_dataframe(
         table_name: str, start_date: datetime | None = None, end_date: datetime | None = None
     ) -> pd.DataFrame:
-    """connect to the database and load game data into a pandas dataframe"""
+    """
+        :param table_name: the name of the table to load data from
+        :param start_date: the start date for the data
+        :param end_date: the end date for the data
+
+        :returns: a pandas DataFrame containing the data
+    """
 
     dal.connect()
     session = dal.Session()
@@ -39,10 +42,15 @@ def load_dataframe(
 
 
 def get_most_common_number(
-        data_frame: pd.DataFrame,
-        columns: list | None = None,
-        top: int = 1
+        data_frame: pd.DataFrame, columns: list | None = None, top: int = 1
     ) -> list[int]:
+    """
+    :param data_frame: a pandas DataFrame containing the data
+    :param columns: a list of column names to use
+    :param top: the number of top (most seen) numbers to return
+
+    :returns: a list of the most common numbers
+    """
     if columns is None:
         columns = ['main_ball1', 'main_ball2', 'main_ball3', 'main_ball4', 'main_ball5']
     flat_numbers = data_frame[columns].values.flatten()
@@ -51,10 +59,15 @@ def get_most_common_number(
 
 
 def get_least_common_number(
-        data_frame: pd.DataFrame,
-        columns: list | None = None,
-        bottom: int = 1
+        data_frame: pd.DataFrame, columns: list | None = None, bottom: int = 1
 ) -> list[int]:
+    """
+    :param data_frame: a pandas DataFrame containing the data
+    :param columns: a list of column names to use
+    :param bottom: the number of bottom (least seen) numbers to return
+
+    :returns: a list of the least common numbers
+    """
     if columns is None:
         columns = ['main_ball1', 'main_ball2', 'main_ball3', 'main_ball4', 'main_ball5']
     flat_numbers = data_frame[columns].values.flatten()
diff --git a/lottery_predictor/collect.py b/lottery_predictor/collect.py
index 4fc752f..b6da7d7 100644
--- a/lottery_predictor/collect.py
+++ b/lottery_predictor/collect.py
@@ -18,7 +18,11 @@ project_variables = envutil.load_environment_variables()
 
 
 def get_record_count(table_name: str) -> int | None:
-    """get the most recent draw record from the specified table"""
+    """
+        :param table_name: the name of the table to get a count of records from
+
+        :returns: the count of records found in the specified table
+    """
     game_dict = drawutil.check_table_name(table_name=table_name)
     if game_dict:
         dal.connect()
@@ -30,7 +34,11 @@ def get_record_count(table_name: str) -> int | None:
 
 
 def get_recent_draw_date(table_name: str) -> datetime | None:
-    """get the most recent draw date from the specified table"""
+    """
+        :param table_name: the name of the table to get the most recent draw date from
+
+        :returns datetime: the most recent draw date, if there is one
+    """
     game_dict = drawutil.check_table_name(table_name=table_name)
     if game_dict:
         dal.connect()
@@ -42,7 +50,11 @@ def get_recent_draw_date(table_name: str) -> datetime | None:
 
 
 def get_missing_records(table_name: str) -> int:
-    """collect and insert missing records, returning a count of insertions"""
+    """
+        :param table_name: the name of the table to collect and insert missing records in
+
+        :returns: the number of records inserted into the target table
+    """
     # if the table_name is valid
     game_dict = drawutil.check_table_name(table_name=table_name)
     if game_dict:
diff --git a/lottery_predictor/draw.py b/lottery_predictor/draw.py
new file mode 100644
index 0000000..b42673d
--- /dev/null
+++ b/lottery_predictor/draw.py
@@ -0,0 +1,16 @@
+import random
+
+
+def generate_random_ticket(max_main: int, max_game: int, num_main: int = 5) -> tuple[list[int], int]:
+    """
+    Generate a random lottery ticket.
+
+    :param max_main: The maximum number in the range to choose from for main game balls
+    :param max_game: The maximum number in the range to choose from for the game ball
+    :param num_main: The number of numbers that can be chosen in the main field
+
+    :returns: A tuple of (main_balls, game_ball)
+    """
+    main_balls = random.sample(range(1, max_main), num_main)
+    game_ball = random.randint(1, max_game)
+    return sorted(main_balls), game_ball
diff --git a/tests/lottery_predictor/test_analyze.py b/tests/lottery_predictor/test_analyze.py
index 7f6d48f..3e1c78f 100644
--- a/tests/lottery_predictor/test_analyze.py
+++ b/tests/lottery_predictor/test_analyze.py
@@ -1,6 +1,5 @@
 from datetime import datetime
 import pytest
-import pandas as pd
 
 import lottery_predictor.analyze as analyze
 
diff --git a/tests/lottery_predictor/test_draw.py b/tests/lottery_predictor/test_draw.py
new file mode 100644
index 0000000..1a7ae6d
--- /dev/null
+++ b/tests/lottery_predictor/test_draw.py
@@ -0,0 +1,10 @@
+import pytest
+
+import lottery_predictor.draw as draw
+
+
+def test_generate_random_ticket() -> None:
+    assert isinstance(draw.generate_random_ticket(max_main=69, max_game=26), tuple)
+    assert isinstance(draw.generate_random_ticket(max_main=70, max_game=24), tuple)
+    with pytest.raises(TypeError):
+        draw.generate_random_ticket()