diff --git a/anatomy/templates/anatomy/exam_scores_new.html b/anatomy/templates/anatomy/exam_scores_new.html
index fa0924b5..2ad3b17a 100644
--- a/anatomy/templates/anatomy/exam_scores_new.html
+++ b/anatomy/templates/anatomy/exam_scores_new.html
@@ -29,7 +29,7 @@
             <tr>
                 <th>Candidate ID</th>
                 <th>Score</th>
-                <th>Normalised Score</th>
+                {% comment %} <th>Normalised Score</th> {% endcomment %}
             </tr>
             {% comment %} {% for user, value in user_answers_marks.items %} {% endcomment %}
             {% for cid in cids %}
diff --git a/generic/views.py b/generic/views.py
index 2da566e9..5bd65f24 100644
--- a/generic/views.py
+++ b/generic/views.py
@@ -993,130 +993,6 @@ class ExamViews(View, LoginRequiredMixin):
             },
         )
 
-    def exam_scores_cid(self, request, pk):
-        exam = get_object_or_404(self.Exam, pk=pk)
-
-        if request.user not in exam.author.all():
-            if not self.check_user_access(request.user, pk):
-                raise PermissionDenied
-
-        if not exam.exam_mode:
-            raise Http404("Packet not in exam mode")
-
-        questions = exam.exam_questions.all()
-
-        cids = (
-            self.CidUserAnswer.objects.filter(question__in=questions, exam__id=pk)
-            .order_by("cid")
-            .values_list("cid", flat=True)
-            .distinct()
-        )
-
-        user_answers_and_marks = defaultdict(list)
-        user_answers_marks = defaultdict(list)
-        user_answers = defaultdict(list)
-        user_names = {}
-
-        by_question = defaultdict(list)
-        unmarked = set()
-
-        # Loop through all candidates
-        for cid in cids:
-            # Convoluted (probably...)
-            user_names[cid] = cid
-            for q in questions:
-                # Get user answer
-                s = q.cid_user_answers.filter(cid=cid, exam__id=pk).first()
-                if not s:
-                    # skip if no answer
-                    user_answers_marks[cid].append(0)
-                    user_answers[cid].append("")
-                    by_question[q].append(("", 0))
-                    continue
-
-                ans = s.answer
-                answer_score = s.get_answer_score()
-                if answer_score == "unmarked":
-                    index = exam.get_question_index(q)
-                    unmarked.add(index)
-                user_answers[cid].append(ans)
-                user_answers_marks[cid].append(answer_score)
-                user_answers_and_marks[cid].append((ans, answer_score))
-
-                by_question[q].append((ans, answer_score))
-
-        user_scores = {}
-        for user in user_answers_marks:
-            user_scores[user] = sum(
-                [i for i in user_answers_marks[user] if i != "unmarked"]
-            )
-
-        user_scores_list = list(user_scores.values())
-
-        max_score = len(questions) * 2
-
-        if len(user_scores_list) < 1:
-            mean = 0
-            median = 0
-            mode = 0
-            fig_html = ""
-        else:
-            mean = statistics.mean(user_scores_list)
-            median = statistics.median(user_scores_list)
-            try:
-                mode = statistics.mode(user_scores_list)
-            except statistics.StatisticsError:
-                mode = "No unique mode"
-
-            df = user_scores_list
-            fig = px.histogram(
-                df,
-                x=0,
-                title="{}: distribution of scores".format(exam),
-                labels={"0": "Score"},
-                height=400,
-                width=600,
-            )
-            fig_html = fig.to_html()
-
-            exam.stats_mean = mean
-            exam.stats_median = median
-            exam.stats_mode = mode
-
-            exam.stats_candidates = len(user_scores_list)
-            exam.stats_max_possible = max_score
-
-            exam.stats_min = min(user_scores_list)
-            exam.stats_max = max(user_scores_list)
-
-            exam.stats_graph = fig_html
-            exam.save()
-
-
-
-        return render(
-            request,
-            f"{self.app_name}/exam_scores.html",
-            {
-                "cids": cids,
-                "exam": exam,
-                "unmarked": unmarked,
-                "questions": questions,
-                "by_question": by_question,
-                "user_answers": dict(user_answers),
-                "user_answers_marks": dict(user_answers_marks),
-                "user_scores": user_scores,
-                "user_scores_list": user_scores_list,
-                "user_names": user_names,
-                "user_answers_and_marks": user_answers_and_marks,
-                "max_score": max_score,
-                "mean": mean,
-                "median": median,
-                "mode": mode,
-                "plot": fig_html,
-            },
-        )
-
 
 class GenericViewBase:
     def __init__(self, app_name, QuestionObject, CidUserAnswerObject, ExamObject):