diff --git a/recognization/code/eval_identity.py b/recognization/code/eval_identity.py
index 05c7a30..2f9d5f8 100644
--- a/recognization/code/eval_identity.py
+++ b/recognization/code/eval_identity.py
@@ -487,6 +487,10 @@ def score_lane(
     unenrolled_count = len(in_catalog) - enrolled_count
 
     correct = wrong = rejected = top1_correct = 0
+    # The decision ceiling is over enrolled facings only. The text lane can
+    # answer an unenrolled sibling correctly, and counting that in a ratio
+    # whose denominator is the enrolled count reports a ceiling above 100%.
+    enrolled_correct = 0
     unknown_false = unenrolled_false = 0
     accepts: Counter = Counter()
     per_sku: Dict[str, List[int]] = {}
@@ -510,6 +514,8 @@ def score_lane(
             if answered == truth:
                 correct += 1
                 bucket[0] += 1
+                if truth in enrolled_skus:
+                    enrolled_correct += 1
             elif answered:
                 wrong += 1
                 if truth not in enrolled_skus:
@@ -537,7 +543,7 @@ def score_lane(
         "rejected": rejected,
         "catalog_ceiling": round(enrolled_count / len(in_catalog), 4) if in_catalog else None,
         "identity_ceiling": round(top1_correct / enrolled_count, 4) if enrolled_count else None,
-        "decision_ceiling": round(correct / enrolled_count, 4) if enrolled_count else None,
+        "decision_ceiling": round(enrolled_correct / enrolled_count, 4) if enrolled_count else None,
         "end_to_end_coverage": round(correct / len(in_catalog), 4) if in_catalog else None,
         "false_accepts": wrong,
         "unknown_false_accepts": unknown_false,