diff --git a/modules/events/f1_qualifying_event.py b/modules/events/f1_qualifying_event.py
index 9b54e21..c3238fc 100644
--- a/modules/events/f1_qualifying_event.py
+++ b/modules/events/f1_qualifying_event.py
@@ -82,6 +82,7 @@ def event_sequence(self):
         2. Run each qualifying session in sequence (Q1, Q2, Q3...)
         3. Track advancing drivers between sessions
         4. Terminate after final session
+        5. Print final results table
         """
         # Create list of tuples: [(session_length, cars_advancing), ...]
         session_info = list(zip(self.session_minutes, self.session_advancing_cars))
@@ -97,6 +98,37 @@ def event_sequence(self):
                 length, num_drivers_remain, session_number, advancing_drivers
             )
 
+        # Print final results to logs
+        self.print_final_results()
+
+    def print_final_results(self):
+        """
+        Prints the final qualifying results table to the logs.
+        """
+        self.logger.info("=" * 80)
+        self.logger.info("F1 QUALIFYING - FINAL RESULTS")
+        self.logger.info("=" * 80)
+
+        with self.leaderboard_lock:
+            if self.leaderboard_df.empty:
+                self.logger.info("No results available.")
+                return
+
+            # Create a copy to work with
+            results_df = self.leaderboard_df.copy()
+
+            # Add position column
+            results_df.insert(0, "Pos", range(1, len(results_df) + 1))
+
+            # Format the DataFrame as a string table
+            results_table = results_df.to_string(index=True)
+
+            # Log each line of the table
+            for line in results_table.split("\n"):
+                self.logger.info(line)
+
+        self.logger.info("=" * 80)
+
     def wait_before_next_session(self, seconds, session_number):
         self.checkered_flag_out = False
         wait_start_time = self.sdk["SessionTime"]
diff --git a/modules/events/overlay_consumer_event.py b/modules/events/overlay_consumer_event.py
index 2717a76..c159dc6 100644
--- a/modules/events/overlay_consumer_event.py
+++ b/modules/events/overlay_consumer_event.py
@@ -253,13 +253,22 @@ def _build_f1_state(self) -> dict | None:
             drivers = []
 
             for pos, (car_num, row) in enumerate(df.iterrows()):
-                # Best lap time across all sessions (smallest positive value).
+                # During an active session, show the current session time.
+                # Otherwise, show the best time across all sessions (smallest positive value).
                 best_time = None
-                for col in q_cols:
-                    val = row.get(col)
+                if is_active_session and current_q_num is not None:
+                    # Show current session time during active sessions
+                    current_q_col = f"Q{current_q_num}"
+                    val = row.get(current_q_col)
                     if isinstance(val, (int, float)) and not isnan(val) and val > 0:
-                        if best_time is None or val < best_time:
-                            best_time = val
+                        best_time = val
+                else:
+                    # Show overall best time between sessions
+                    for col in q_cols:
+                        val = row.get(col)
+                        if isinstance(val, (int, float)) and not isnan(val) and val > 0:
+                            if best_time is None or val < best_time:
+                                best_time = val
 
                 # Per-session individual lap times for the standings overlay.
                 session_times: dict[str, str] = {}