diff --git a/fastf1/core.py b/fastf1/core.py
index 4d3590747..a0d2b46b5 100644
--- a/fastf1/core.py
+++ b/fastf1/core.py
@@ -1421,6 +1421,11 @@ def _load_laps_data(self, livedata=None):
             mask = pd.isna(result['LapStartTime']) & (~pd.isna(result['PitOutTime']))
             result.loc[mask, 'LapStartTime'] = result.loc[mask, 'PitOutTime']
 
+            # remove first lap pitout time if it is before session_start_time
+            mask = (result["PitOutTime"] < self.session_start_time) & \
+                   (result["NumberOfLaps"] == 1)
+            result.loc[mask, 'PitOutTime'] = pd.NaT
+
             # create total laps counter for each tyre used
             for npit in result['Stint'].unique():
                 sel = result['Stint'] == npit
diff --git a/fastf1/tests/test_core.py b/fastf1/tests/test_core.py
index 561e23c12..5294577ad 100644
--- a/fastf1/tests/test_core.py
+++ b/fastf1/tests/test_core.py
@@ -39,6 +39,23 @@ def test_lap_data_loading_position_calculation():
         assert (delta == 0).all()  # assert that the delta is zero for all laps
 
 
+@pytest.mark.f1telapi
+def test_first_lap_pitout_times():
+    sprint_session = fastf1.get_session(2023, 4, "Sprint")
+    sprint_session.load(telemetry=False, weather=False, messages=False)
+    sprint_laps = sprint_session.laps
+    sprint_mask = (sprint_laps["LapNumber"] == 1) & \
+                  (~sprint_laps["PitOutTime"].isna())
+    assert sprint_laps[sprint_mask]["Driver"].tolist() == ["OCO"]
+
+    race_session = fastf1.get_session(2023, 5, "R")
+    race_session.load(telemetry=False, weather=False, messages=False)
+    race_laps = race_session.laps
+    race_mask = (race_laps["LapNumber"] == 1) & \
+                (~race_laps["PitOutTime"].isna())
+    assert race_laps[race_mask]["Driver"].tolist() == []
+
+
 def test_laps_constructor_metadata_propagation(reference_laps_data):
     session, laps = reference_laps_data