diff --git a/README.md b/README.md
index 5e1ee67..8c8554d 100644
--- a/README.md
+++ b/README.md
@@ -302,8 +302,11 @@ The deck is now available in your Anki collection, organized by ELO ranges with
 - **Unified Tags**: Merged themes + openings for easy filtering
 - **Direct links** to Lichess and Chess.com for deeper analysis
 - **Metadata**: Rating, popularity for progress tracking
+- **Confidence**: The Bayesian quality score computed at selection time (Popularity + NbPlays, confidence-weighted), shown on the back as a ★ pill so you can gauge how community-validated each puzzle is
 - **Diplay theme** used for the card (available themes are *theme-solarized*, *theme-paper-sand* and nothing for default theme)
 
+Every sub-deck also carries a **rich description** generated from the selection statistics: puzzle count, ELO range/average, average popularity, motif/theme coverage, a full theme-frequency breakdown, and a Woodpecker-based estimate of how long it takes to master the band (at ~20 new puzzles/day).
+
 This project thus transforms a raw database of millions of puzzles into **custom training sets**, optimized for systematic progression and lasting memorization of tactical patterns essential at each level! 🚀♟️
 
 ***
diff --git a/build_apkg.py b/build_apkg.py
index 1a8710b..9fb0987 100644
--- a/build_apkg.py
+++ b/build_apkg.py
@@ -14,6 +14,7 @@
 import csv
 import hashlib
 import json
+import math
 import os
 import shutil
 import zipfile
@@ -39,8 +40,14 @@
     {"name": "Themes"},
     {"name": "Opening"},
     {"name": "Display Theme"},
+    {"name": "Confidence"},    # Bayesian quality score in [0, 1] (appended last to
+                               # keep field order stable for existing collections)
 ]
 
+# Average daily intake of new puzzles recommended in the README ("~20 new
+# puzzles per day"). Used to estimate the time to master a sub-deck.
+NEW_PUZZLES_PER_DAY = 20
+
 
 class PuzzleNote(genanki.Note):
     """genanki.Note whose GUID depends only on the Puzzle ID (fields[0]).
@@ -86,6 +93,7 @@ def guid(self):
         "Themes": "fork sacrifice",
         "Opening": "Italian",
         "Display Theme": "theme-solarized",
+        "Confidence": "0.912",
         "Tags": "OCP::fork OCP::sacrifice OCP::Italian",
     },
     {
@@ -97,6 +105,7 @@ def guid(self):
         "Themes": "pin",
         "Opening": "Italian",
         "Display Theme": "theme-solarized",
+        "Confidence": "0.874",
         "Tags": "OCP::pin OCP::Italian",
     },
     {
@@ -108,6 +117,7 @@ def guid(self):
         "Themes": "endgame pawnEndgame",
         "Opening": "",
         "Display Theme": "theme-solarized",
+        "Confidence": "0.953",
         "Tags": "OCP::endgame OCP::pawnEndgame",
     },
 ]
@@ -174,6 +184,7 @@ def _row_to_note(row: Dict[str, str], model: genanki.Model) -> PuzzleNote:
             row.get("Themes", ""),
             row.get("Opening", ""),
             row.get("Display Theme", "theme-solarized"),
+            row.get("Confidence", ""),
         ],
         tags=tags,
     )
@@ -188,13 +199,56 @@ def _load_deck_stats(csv_dir: str) -> Dict[str, Dict]:
         return json.load(f)
 
 
-def _build_description(rows: List[Dict[str, str]], coverage: Optional[float] = None) -> str:
+def _mastery_sentence(count: int) -> str:
+    """Motivational one-liner estimating how long to master a deck.
+
+    Uses the README's recommended pace of ~20 new puzzles/day for a first full
+    pass, then frames the Woodpecker method (repeated accelerated cycles) as the
+    path to turning calculation into reflex.
+    """
+    days = math.ceil(count / NEW_PUZZLES_PER_DAY)
+    weeks = max(1, round(days / 7))
+    return (
+        f"🔨 Woodpecker plan: at ~{NEW_PUZZLES_PER_DAY} new puzzles/day, a first "
+        f"full pass takes about {days} days (~{weeks} week{'s' if weeks != 1 else ''}). "
+        "Then repeat the set in faster and faster cycles until the patterns become "
+        "reflexes — that's when you've mastered this deck. 🚀"
+    )
+
+
+def _coverage_lines(stats: Dict) -> List[str]:
+    """Render the coverage block from a per-tranche stats dict (missing keys skipped)."""
+    lines: List[str] = []
+    uts = stats.get("unique_themes_sample")
+    utt = stats.get("unique_themes_tranche")
+    cov = stats.get("coverage_pct")
+    if uts is None and utt is None and cov is None:
+        return lines
+
+    lines.append("")
+    lines.append("📈 Coverage:")
+    if uts is not None:
+        ums = stats.get("unique_motifs_sample")
+        suffix = f" (motifs: {ums})" if ums is not None else ""
+        lines.append(f"- Unique themes covered: {uts}{suffix}")
+    if utt is not None:
+        umt = stats.get("unique_motifs_tranche")
+        suffix = f" (motifs: {umt})" if umt is not None else ""
+        lines.append(f"- Distinct themes in tranche: {utt}{suffix}")
+    if cov is not None:
+        cov_all = stats.get("coverage_pct_all")
+        suffix = f"  (all-theme coverage: {cov_all}%)" if cov_all is not None else ""
+        lines.append(f"- Motif coverage: {cov}%{suffix}")
+    return lines
+
+
+def _build_description(rows: List[Dict[str, str]], stats: Optional[Dict] = None) -> str:
     """Build a plain-text deck description from a list of puzzle rows.
 
-    Includes puzzle count, ELO range/average, popularity average, and the top
-    themes sorted by frequency — mirroring what lichess_optimized_puzzles_datasets
-    reports at generation time.  When coverage is provided (ratio of unique themes
-    in the sample vs the full ELO tranche), it is shown inline with the theme list.
+    Mirrors the report printed by lichess_optimized_puzzles_datasets at generation
+    time: a one-line summary (count, ELO range/average, popularity average), a
+    motivational mastery estimate, the per-tranche coverage stats (when *stats* is
+    provided), and the full theme-frequency breakdown sorted by frequency.
     """
     count = len(rows)
     if count == 0:
@@ -209,23 +263,23 @@ def _build_description(rows: List[Dict[str, str]], coverage: Optional[float] = N
     ratings = [int(row["Rating"]) for row in rows if row.get("Rating", "").isdigit()]
     pops = [int(row["Popularity"]) for row in rows if row.get("Popularity", "").isdigit()]
 
-    lines: List[str] = [f"{count} puzzle{'s' if count != 1 else ''}"]
-
+    summary = f"📊 {count} puzzle{'s' if count != 1 else ''}"
     if ratings:
-        lines.append(
-            f"Rating: {min(ratings)}–{max(ratings)}, average {sum(ratings) // len(ratings)}"
-        )
+        summary += f" · Rating {min(ratings)}–{max(ratings)} (avg {sum(ratings) // len(ratings)})"
     if pops:
-        lines.append(f"Popularity: average {sum(pops) // len(pops)}%")
+        summary += f" · Popularity avg {sum(pops) // len(pops)}%"
+
+    lines: List[str] = [summary, "", _mastery_sentence(count)]
+
+    if stats:
+        lines.extend(_coverage_lines(stats))
 
     if theme_counts:
         n_themes = len(theme_counts)
-        cov_label = f" ({coverage:.1f}% of tranche themes)" if coverage is not None else ""
-        top = sorted(theme_counts.items(), key=lambda x: -x[1])[:15]
-        lines.append(
-            f"\n{n_themes} theme{'s' if n_themes != 1 else ''}{cov_label}: "
-            + " · ".join(f"{t} ({n})" for t, n in top)
-        )
+        lines.append("")
+        lines.append(f"🎯 {n_themes} theme{'s' if n_themes != 1 else ''} by frequency:")
+        for theme, freq in sorted(theme_counts.items(), key=lambda x: (-x[1], x[0])):
+            lines.append(f"  • {theme}: {freq} puzzle{'s' if freq != 1 else ''}")
 
     return "\n".join(lines)
 
@@ -264,9 +318,7 @@ def build_from_csvs(
         all_rows.extend(rows)
         deck = genanki.Deck(
             _deck_id(deck_name), deck_name,
-            description=_build_description(
-                rows, (deck_stats.get(csv_filename) or {}).get("coverage_pct")
-            ),
+            description=_build_description(rows, deck_stats.get(csv_filename)),
         )
         for row in rows:
             deck.add_note(_row_to_note(row, model))
diff --git a/lichess_optimized_puzzles_datasets.py b/lichess_optimized_puzzles_datasets.py
index 5e1ba07..4ebff42 100644
--- a/lichess_optimized_puzzles_datasets.py
+++ b/lichess_optimized_puzzles_datasets.py
@@ -221,6 +221,13 @@ def _meaningful_motifs(themes_str) -> List[str]:
     return [t for t in str(themes_str).split() if t and t not in THEME_DENYLIST]
 
 
+def _format_confidence(value) -> str:
+    """Format the Bayesian quality score for CSV output (3 decimals, blank if absent)."""
+    if value is None or pandas.isna(value):
+        return ""
+    return f"{float(value):.3f}"
+
+
 def _augment_tranche(
     tranche: pandas.DataFrame,
     popularity_threshold: int,
@@ -536,7 +543,7 @@ def _ocp_prefixed_tokens(text: str) -> str:
 
     with open(filename, "w", encoding="utf-8") as puzzle_file:
         puzzle_file.write(
-            "PuzzleID,FEN,Moves,Rating,Popularity,Themes,Opening,Display Theme,Tags\n"
+            "PuzzleID,FEN,Moves,Rating,Popularity,Themes,Opening,Display Theme,Confidence,Tags\n"
         )
 
         for row in sampled_rows:
@@ -550,6 +557,8 @@ def _ocp_prefixed_tokens(text: str) -> str:
             oc_openings = _ocp_prefixed_tokens(opening) if opening else ""
             tags_str = " ".join(x for x in [oc_themes, oc_openings] if x).strip()
 
+            confidence = _format_confidence(row.get('_quality'))
+
             vals = [
                 safe_str(row['PuzzleId']),
                 adj_fen,
@@ -559,6 +568,7 @@ def _ocp_prefixed_tokens(text: str) -> str:
                 themes,
                 opening,
                 safe_str("theme-solarized"),
+                confidence,
                 tags_str
             ]
             puzzle_file.write(",".join([v.replace(',', ';') for v in vals]) + "\n")
diff --git a/templates/back.html b/templates/back.html
index cb21509..05c8b13 100644
--- a/templates/back.html
+++ b/templates/back.html
@@ -36,6 +36,9 @@ <h1 class="clean-pill">{{Themes}}</h1>
   {{#Opening}}
     <div class="clean-pill">{{Opening}}</div>
   {{/Opening}}
+  {{#Confidence}}
+    <div class="clean-pill" title="Bayesian quality score (Popularity + NbPlays)">★ {{Confidence}}</div>
+  {{/Confidence}}
   </div>
 </div>
 
diff --git a/tests/build_apkg_test.py b/tests/build_apkg_test.py
index af2b513..29c3a78 100644
--- a/tests/build_apkg_test.py
+++ b/tests/build_apkg_test.py
@@ -193,7 +193,7 @@ def test_rating_range_and_average(self):
         desc = _build_description(rows)
         assert "1000" in desc
         assert "1200" in desc
-        assert "average 1100" in desc
+        assert "avg 1100" in desc
 
     def test_popularity_average(self):
         rows = [
@@ -201,7 +201,7 @@ def test_popularity_average(self):
             _make_themed_row("p2", "fork", popularity="100"),
         ]
         desc = _build_description(rows)
-        assert "average 90%" in desc
+        assert "Popularity avg 90%" in desc
 
     def test_themes_listed_by_frequency(self):
         rows = [
@@ -211,9 +211,16 @@ def test_themes_listed_by_frequency(self):
             _make_themed_row("p4", "fork"),
         ]
         desc = _build_description(rows)
-        assert "fork (3)" in desc
-        assert "pin (2)" in desc
-        assert desc.index("fork (3)") < desc.index("pin (2)")  # fork first (more frequent)
+        assert "fork: 3 puzzles" in desc
+        assert "pin: 2 puzzles" in desc
+        assert desc.index("fork: 3 puzzles") < desc.index("pin: 2 puzzles")  # fork first (more frequent)
+
+    def test_mastery_sentence_present(self):
+        rows = [_make_themed_row(f"p{i}", "fork") for i in range(40)]
+        desc = _build_description(rows)
+        # 40 puzzles at ~20/day → ~2 days
+        assert "Woodpecker plan" in desc
+        assert "2 days" in desc
 
     def test_theme_count_in_description(self):
         rows = [_make_themed_row("p1", "fork pin skewer")]
@@ -247,20 +254,39 @@ def test_sample_cards_have_description(self):
 
     def test_coverage_shown_when_provided(self):
         rows = [_make_themed_row("p1", "fork pin")]
-        desc = _build_description(rows, coverage=74.3)
+        stats = {
+            "unique_themes_sample": 23,
+            "unique_motifs_sample": 18,
+            "unique_themes_tranche": 31,
+            "unique_motifs_tranche": 24,
+            "coverage_pct": 74.3,
+            "coverage_pct_all": 65.0,
+        }
+        desc = _build_description(rows, stats=stats)
         assert "74.3%" in desc
-        assert "of tranche themes" in desc
+        assert "Unique themes covered: 23 (motifs: 18)" in desc
+        assert "Distinct themes in tranche: 31 (motifs: 24)" in desc
+        assert "all-theme coverage: 65.0%" in desc
 
     def test_coverage_absent_when_none(self):
         rows = [_make_themed_row("p1", "fork pin")]
-        desc = _build_description(rows, coverage=None)
+        desc = _build_description(rows, stats=None)
         assert "tranche" not in desc
+        assert "Coverage" not in desc
 
     def test_coverage_100_percent(self):
         rows = [_make_themed_row("p1", "fork")]
-        desc = _build_description(rows, coverage=100.0)
+        desc = _build_description(rows, stats={"coverage_pct": 100.0})
         assert "100.0%" in desc
 
+    def test_full_theme_breakdown_listed(self):
+        """Every theme appears in the breakdown (not truncated)."""
+        rows = [_make_themed_row(f"p{i}", "fork") for i in range(3)]
+        rows.append(_make_themed_row("rare", "enPassant"))
+        desc = _build_description(rows)
+        assert "fork: 3 puzzles" in desc
+        assert "enPassant: 1 puzzle" in desc
+
 
 class TestLoadDeckStats:
     def test_returns_empty_dict_when_file_absent(self, tmp_path):
@@ -323,7 +349,7 @@ def test_deck_stats_param_produces_apkg(self, tmp_path):
         desc = _build_description(
             [{"PuzzleID": "t1", "Themes": "fork", "Rating": "1200", "Popularity": "90",
               "FEN": "", "Moves": "", "Opening": "", "Display Theme": "", "Tags": ""}],
-            coverage=88.5,
+            stats={"coverage_pct": 88.5},
         )
         assert "88.5%" in desc