diff --git a/cara/apps/calculator/__init__.py b/cara/apps/calculator/__init__.py
index f7a4834d..a6a2b4db 100644
--- a/cara/apps/calculator/__init__.py
+++ b/cara/apps/calculator/__init__.py
@@ -96,6 +96,7 @@ class ConcentrationModel(BaseRequestHandler):
         if self.settings.get("debug", False):
             from pprint import pprint
             pprint(requested_model_config)
+            start = datetime.datetime.now()
 
         try:
             form = model_generator.FormData.from_dict(requested_model_config)
@@ -114,6 +115,9 @@ class ConcentrationModel(BaseRequestHandler):
             report_generator.build_report, base_url, form,
         )
         report: str = await asyncio.wrap_future(report_task)
+        if self.settings.get("debug", False):
+            dt = (datetime.datetime.now() - start)
+            print(f'Report response time {dt.seconds}.{dt.microseconds}s')
         self.finish(report)
 
 
diff --git a/cara/apps/calculator/report_generator.py b/cara/apps/calculator/report_generator.py
index ab206ec9..91e9e147 100644
--- a/cara/apps/calculator/report_generator.py
+++ b/cara/apps/calculator/report_generator.py
@@ -18,13 +18,6 @@ from .model_generator import FormData
 from ... import dataclass_utils
 
 
-@dataclasses.dataclass(frozen=True)
-class RepeatEvents:
-    repeats: int
-    probability_of_infection: float
-    expected_new_cases: float
-
-
 def model_start_end(model: models.ExposureModel):
     t_start = min(model.exposed.presence.boundaries()[0][0],
                   model.concentration_model.infected.presence.boundaries()[0][0])
@@ -46,18 +39,6 @@ def calculate_report_data(model: models.ExposureModel):
     exposed_occupants = model.exposed.number
     expected_new_cases = np.mean(model.expected_new_cases())
 
-    repeated_events = []
-    for n in [1, 2, 3, 4, 5]:
-
-        repeat_model = dataclass_utils.replace(model, repeats=n)
-        repeated_events.append(
-            RepeatEvents(
-                repeats=n,
-                probability_of_infection=np.mean(repeat_model.infection_probability()),
-                expected_new_cases=np.mean(repeat_model.expected_new_cases()),
-            )
-        )
-
     return {
         "times": times,
         "concentrations": concentrations,
@@ -67,7 +48,6 @@ def calculate_report_data(model: models.ExposureModel):
         "exposed_occupants": exposed_occupants,
         "expected_new_cases": expected_new_cases,
         "scenario_plot_src": img2base64(_figure2bytes(plot(times, concentrations, model))),
-        "repeated_events": repeated_events,
     }