diff --git a/web/core/views.py b/web/core/views.py
index 3c4748f..0b1b58e 100644
--- a/web/core/views.py
+++ b/web/core/views.py
@@ -663,4 +663,150 @@ def api_get_recent_views(request):
 
 @login_required
 def settings_home(request):
-    return render(request, "settings/home.html")
\ No newline at end of file
+    return render(request, "settings/home.html")
+
+@login_required
+def stats_page(request):
+    from collections import Counter, OrderedDict
+    from calendar import month_abbr
+
+    total = Entry.objects.count()
+    today = date.today()
+    last30 = Entry.objects.filter(date_added__gte=today - timedelta(days=30)).count()
+    last365 = Entry.objects.filter(date_added__gte=today - timedelta(days=365)).count()
+
+    # ---- Sparkline (last 12 months) ----
+    months = []
+    y = today.year
+    m = today.month
+    for i in range(12):
+        mm = m - i
+        yy = y
+        while mm <= 0:
+            mm += 12
+            yy -= 1
+        from datetime import date as _d
+        start = _d(yy, mm, 1)
+        end = _d(yy + 1, 1, 1) if mm == 12 else _d(yy, mm + 1, 1)
+        label = f"{month_abbr[mm]} {str(yy)[2:]}"
+        months.append((label, start, end))
+    months = list(reversed(months))
+
+    series = [
+        (label, Entry.objects.filter(date_added__gte=start, date_added__lt=end).count())
+        for label, start, end in months
+    ]
+    peak = max((v for _, v in series), default=1)
+    heights = [
+        (label, value, 8 + int((value / peak) * 100) if peak else 8)
+        for label, value in series
+    ]
+
+    # ---- Top subjects (existing) ----
+    subject_counts = Counter()
+    for subj in Entry.objects.exclude(subject="").values_list("subject", flat=True):
+        for tag in [t.strip() for t in subj.split(",") if t.strip()]:
+            subject_counts[tag.lower()] += 1
+    top_subjects = [{"name": n.title(), "count": c} for n, c in subject_counts.most_common(10)]
+
+    # ===============================
+    # Scripture analytics (from scripture_raw)
+    # ===============================
+    # A light normalizer so common abbreviations map to canonical book names.
+    BOOK_MAP = {
+        # OT (examples; extend as needed)
+        "gen":"Genesis","ge":"Genesis","gn":"Genesis",
+        "ex":"Exodus","exo":"Exodus",
+        "lev":"Leviticus","le":"Leviticus",
+        "num":"Numbers","nu":"Numbers",
+        "de":"Deuteronomy","deut":"Deuteronomy",
+        "jos":"Joshua","josh":"Joshua",
+        "jdg":"Judges","judg":"Judges",
+        "ru":"Ruth","rut":"Ruth",
+        "ps":"Psalms","psalm":"Psalms","psalms":"Psalms",
+        "pr":"Proverbs","pro":"Proverbs",
+        "ec":"Ecclesiastes","ecc":"Ecclesiastes",
+        "isa":"Isaiah","is":"Isaiah",
+        "jer":"Jeremiah","je":"Jeremiah",
+        "eze":"Ezekiel","ez":"Ezekiel",
+        "da":"Daniel","dan":"Daniel",
+        "ho":"Hosea","hos":"Hosea",
+        # NT (examples; extend as needed)
+        "mt":"Matthew","matt":"Matthew",
+        "mr":"Mark","mk":"Mark",
+        "lu":"Luke","lk":"Luke",
+        "joh":"John","john":"John","jn":"John",
+        "ac":"Acts","acts":"Acts",
+        "rom":"Romans","ro":"Romans",
+        "1cor":"1 Corinthians","1 co":"1 Corinthians","1 cor":"1 Corinthians",
+        "2cor":"2 Corinthians","2 co":"2 Corinthians","2 cor":"2 Corinthians",
+    }
+
+    BOOK_RE = re.compile(r"""
+        ^\s*
+        (?P<book>(?:[1-3]\s*)?[A-Za-z\.]+)   # optional 1/2/3 prefix + word
+        [\s\.]+
+        (?P<ref>\d+[:\.]\d+.*)?              # 3:16 or 3.16 etc (optional tail)
+    """, re.X)
+
+    def normalize_book(raw):
+        b = raw.strip().lower().replace('.', '')
+        b = re.sub(r'\s+', '', b)  # "1 john" -> "1john"
+        return BOOK_MAP.get(b, raw.strip().title())
+
+    def split_refs(text):
+        if not text:
+            return []
+        # Entries are typically separated by semicolons; allow commas too.
+        parts = re.split(r'[;]+', text)
+        return [p.strip() for p in parts if p.strip()]
+
+    def parse_piece(piece):
+        m = BOOK_RE.match(piece)
+        if not m:
+            return None, None
+        book = normalize_book(m.group('book'))
+        ref = (m.group('ref') or '').strip()
+        return book, (f"{book} {ref}" if ref else book)
+
+    book_counts = Counter()
+    ref_counts = Counter()
+    refs_per_entry = []
+
+    entries_with_script = (Entry.objects
+                           .exclude(scripture_raw__isnull=True)
+                           .exclude(scripture_raw__exact=""))
+    for e in entries_with_script.iterator():
+        pieces = split_refs(e.scripture_raw)
+        entry_ref_count = 0
+        for piece in pieces:
+            book, full = parse_piece(piece)
+            if not book:
+                continue
+            book_counts[book] += 1
+            if full and full != book:
+                ref_counts[full] += 1
+                entry_ref_count += 1
+        if entry_ref_count:
+            refs_per_entry.append(entry_ref_count)
+
+    avg_refs_per_entry = round(sum(refs_per_entry) / len(refs_per_entry), 2) if refs_per_entry else 0
+    top_books = list(book_counts.most_common(10))
+    top_refs = list(ref_counts.most_common(10))
+
+    return render(
+        request,
+        "stats.html",
+        {
+            "total": total,
+            "last30": last30,
+            "last365": last365,
+            "series": series,
+            "heights": heights,
+            "top_subjects": top_subjects,
+            # NEW:
+            "avg_refs_per_entry": avg_refs_per_entry,
+            "top_books": top_books,   # iterable of (book, count)
+            "top_refs": top_refs,     # iterable of (ref, count)
+        },
+    )
\ No newline at end of file