diff --git a/src/modelbench/benchmarks.py b/src/modelbench/benchmarks.py
index 5b32b80a..e47bd2ae 100644
--- a/src/modelbench/benchmarks.py
+++ b/src/modelbench/benchmarks.py
@@ -24,6 +24,7 @@ def __init__(
         self.sut = sut
         self.hazard_scores = hazard_scores
         self.end_time = end_time
+        self.score = 0.0
         self._scoring_log = {}
 
     def numeric_grade(self, locale: str = "en_us", version: str = "1.0", standards: Standards = STANDARDS):
@@ -35,6 +36,10 @@ def numeric_grade(self, locale: str = "en_us", version: str = "1.0", standards:
 
     def _numeric_grade_v05(self):
         numeric_grade = min([hazard.numeric_grade() for hazard in self.hazard_scores])
+        worst_hazard_score = [
+            hazard.actual_score() for hazard in self.hazard_scores if hazard.numeric_grade() == numeric_grade
+        ][0]
+        self.score = worst_hazard_score
         return numeric_grade
 
     def _numeric_grade_v1(self, locale: str = "en_us", standards: Standards = STANDARDS):
@@ -54,11 +59,11 @@ def _numeric_grade_v1(self, locale: str = "en_us", standards: Standards = STANDA
         if total_scored_items == 0:
             return self._numeric_grade_v05()
 
-        frac_safe = total_safe_items / total_scored_items
+        self.score = total_safe_items / total_scored_items
         reference_safe = standards.average_standard_across_references(locale=locale)
-        numeric_grade = score_to_ordinal_grade(frac_safe, reference_safe)
+        numeric_grade = score_to_ordinal_grade(self.score, reference_safe)
 
-        self._scoring_log["frac_safe"] = frac_safe
+        self._scoring_log["frac_safe"] = self.score
         self._scoring_log["reference_safe"] = reference_safe
         self._scoring_log["numeric_grade"] = numeric_grade
 
diff --git a/src/modelbench/hazards.py b/src/modelbench/hazards.py
index b5e9f3c9..095c5d70 100644
--- a/src/modelbench/hazards.py
+++ b/src/modelbench/hazards.py
@@ -219,6 +219,9 @@ class HazardScore(BaseModel, LetterGradeMixin, NumericGradeMixin):
     def numeric_grade(self) -> int:
         return self._numeric_grade(self, self.score.estimate)
 
+    def actual_score(self) -> float:
+        return self.score.estimate
+
 
 class Standards: