diff --git a/.claude/settings.local.json b/.claude/settings.local.json
index 987da7c..504eba1 100644
--- a/.claude/settings.local.json
+++ b/.claude/settings.local.json
@@ -11,7 +11,9 @@
       "Bash(python -m pytest tests/ -v --tb=short)",
       "Bash(python -m pytest tests/ -q --tb=short)",
       "Bash(python -m PyInstaller lottosight.spec --clean)",
-      "Bash(python -c \"from ui.dashboard import DashboardScreen\")"
+      "Bash(python -c \"from ui.dashboard import DashboardScreen\")",
+      "Bash(python -m pytest tests/test_analysis_charts.py -v --tb=short)",
+      "Bash(python -m pytest tests/ -q)"
     ]
   }
 }
diff --git a/CLAUDE.md b/CLAUDE.md
index 7fd2478..23c028f 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -325,6 +325,18 @@ All actions are logged to console and optionally to a log file:
 
 ---
 
+### ✅ Phase 10 — Complete Analysis Screen (7 Charts)
+- [x] Extend `ui/analysis.py` with 4 new chart tabs (was 3, now 7)
+  - [x] Pairs — horizontal bar chart, top-20 most common number pairs
+  - [x] Odd/Even — bar chart of draw-split distribution (e.g. 3O/2E = 38%)
+  - [x] Sum Range — histogram of total draw-sum distribution
+  - [x] Deltas — bar chart of gaps between consecutive numbers within draws
+- [x] Add `_draw_pairs`, `_draw_odd_even`, `_draw_sum_range`, `_draw_deltas` pure functions
+- [x] `tests/test_analysis_charts.py` — 23 tests using Agg backend (no display needed)
+- [x] 200/200 total tests passing
+
+---
+
 ### ✅ Phase 9 — Dashboard Screen
 - [x] Write `ui/dashboard.py`
   - [x] Last Draw Results — card per active game (date, numbers, bonus, multiplier)
diff --git a/tests/test_analysis_charts.py b/tests/test_analysis_charts.py
new file mode 100644
index 0000000..ba8e80a
--- /dev/null
+++ b/tests/test_analysis_charts.py
@@ -0,0 +1,201 @@
+"""
+tests/test_analysis_charts.py
+------------------------------
+Tests for the pure chart-drawing functions in ui/analysis.py.
+Uses matplotlib's Agg (non-interactive) backend so no display is required.
+Each test verifies that the function populates the axes correctly
+and doesn't raise on empty or populated data.
+"""
+
+import matplotlib
+matplotlib.use("Agg")
+from matplotlib.figure import Figure
+
+import pytest
+from db.models import get_game_by_name, insert_draw
+from ui.analysis import (
+    _empty,
+    _draw_frequency,
+    _draw_heatmap,
+    _draw_gap,
+    _draw_pairs,
+    _draw_odd_even,
+    _draw_sum_range,
+    _draw_deltas,
+)
+
+DRAWS = [
+    ("2024-01-01", [1, 13, 36, 61, 69]),
+    ("2024-01-03", [1,  2, 13, 45, 69]),
+    ("2024-01-05", [2, 13, 22, 36, 55]),
+]
+
+
+def _ax():
+    """Return a fresh Axes on a headless figure."""
+    fig = Figure()
+    return fig.add_subplot(111)
+
+
+@pytest.fixture
+def pb(tmp_db):
+    game = get_game_by_name("Powerball")
+    for date, nums in DRAWS:
+        insert_draw(game["id"], date, nums, bonus=7, source="test")
+    return game
+
+
+# ── _empty ────────────────────────────────────────────────────────────────────
+
+def test_empty_disables_axis(tmp_db):
+    ax = _ax()
+    _empty(ax, "test message")
+    assert not ax.get_visible() or not ax.axison
+
+
+# ── _draw_frequency ───────────────────────────────────────────────────────────
+
+def test_draw_frequency_creates_bars(pb):
+    ax = _ax()
+    _draw_frequency(ax, pb["id"])
+    assert len(ax.patches) > 0
+
+
+def test_draw_frequency_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_frequency(ax, pb["id"])   # should show _empty placeholder, not raise
+
+
+def test_draw_frequency_last_n(pb):
+    ax = _ax()
+    _draw_frequency(ax, pb["id"], last_n=1)
+    assert len(ax.patches) > 0
+
+
+def test_draw_frequency_title_includes_last_n(pb):
+    ax = _ax()
+    _draw_frequency(ax, pb["id"], last_n=50)
+    assert "50" in ax.get_title()
+
+
+# ── _draw_heatmap ─────────────────────────────────────────────────────────────
+
+def test_draw_heatmap_creates_image(pb):
+    ax = _ax()
+    _draw_heatmap(ax, pb["id"])
+    assert len(ax.images) > 0
+
+
+def test_draw_heatmap_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_heatmap(ax, pb["id"])
+
+
+# ── _draw_gap ─────────────────────────────────────────────────────────────────
+
+def test_draw_gap_creates_bars(pb):
+    ax = _ax()
+    _draw_gap(ax, pb["id"])
+    assert len(ax.patches) > 0
+
+
+def test_draw_gap_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_gap(ax, pb["id"])
+
+
+# ── _draw_pairs ───────────────────────────────────────────────────────────────
+
+def test_draw_pairs_creates_bars(pb):
+    ax = _ax()
+    _draw_pairs(ax, pb["id"])
+    assert len(ax.patches) > 0
+
+
+def test_draw_pairs_respects_top_n(pb):
+    ax = _ax()
+    _draw_pairs(ax, pb["id"], top_n=5)
+    assert len(ax.patches) <= 5
+
+
+def test_draw_pairs_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_pairs(ax, pb["id"])
+
+
+def test_draw_pairs_title_set(pb):
+    ax = _ax()
+    _draw_pairs(ax, pb["id"], top_n=10)
+    assert "Pair" in ax.get_title() or "pair" in ax.get_title().lower()
+
+
+# ── _draw_odd_even ────────────────────────────────────────────────────────────
+
+def test_draw_odd_even_creates_bars(pb):
+    ax = _ax()
+    _draw_odd_even(ax, pb["id"])
+    assert len(ax.patches) > 0
+
+
+def test_draw_odd_even_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_odd_even(ax, pb["id"])
+
+
+def test_draw_odd_even_title_set(pb):
+    ax = _ax()
+    _draw_odd_even(ax, pb["id"])
+    assert "Odd" in ax.get_title() or "Even" in ax.get_title()
+
+
+# ── _draw_sum_range ───────────────────────────────────────────────────────────
+
+def test_draw_sum_range_creates_patches(pb):
+    ax = _ax()
+    _draw_sum_range(ax, pb["id"])
+    assert len(ax.patches) > 0
+
+
+def test_draw_sum_range_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_sum_range(ax, pb["id"])
+
+
+def test_draw_sum_range_title_set(pb):
+    ax = _ax()
+    _draw_sum_range(ax, pb["id"])
+    assert "Sum" in ax.get_title()
+
+
+# ── _draw_deltas ──────────────────────────────────────────────────────────────
+
+def test_draw_deltas_creates_bars(pb):
+    ax = _ax()
+    _draw_deltas(ax, pb["id"])
+    assert len(ax.patches) > 0
+
+
+def test_draw_deltas_empty_db_no_error(tmp_db):
+    pb = get_game_by_name("Powerball")
+    ax = _ax()
+    _draw_deltas(ax, pb["id"])
+
+
+def test_draw_deltas_title_set(pb):
+    ax = _ax()
+    _draw_deltas(ax, pb["id"])
+    assert "Delta" in ax.get_title()
+
+
+def test_draw_deltas_x_axis_are_positive(pb):
+    ax = _ax()
+    _draw_deltas(ax, pb["id"])
+    # All delta values between consecutive sorted numbers are positive
+    x_vals = [p.get_x() for p in ax.patches]
+    assert all(x >= 0 for x in x_vals)
diff --git a/ui/analysis.py b/ui/analysis.py
index 67d7469..d9e2a70 100644
--- a/ui/analysis.py
+++ b/ui/analysis.py
@@ -1,15 +1,20 @@
 """
 ui/analysis.py
 --------------
-Analysis screen — three Matplotlib charts embedded in a ttk.Notebook.
+Analysis screen — seven Matplotlib charts embedded in a ttk.Notebook.
   • Frequency  — bar chart of how often each number appears
   • Heatmap    — positional frequency matrix
   • Gap        — draws since each number last appeared
+  • Pairs      — top-20 most common number pairs
+  • Odd/Even   — distribution of odd vs even count per draw
+  • Sum Range  — histogram of draw-sum distribution
+  • Deltas     — distribution of gaps between consecutive numbers in a draw
 """
 
 import os
 import tkinter as tk
 from tkinter import ttk, filedialog, messagebox
+from collections import Counter
 
 import numpy as np
 import matplotlib
@@ -18,7 +23,10 @@ from matplotlib.figure import Figure
 from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
 
 from db.models import get_all_games, get_game_by_id, get_game_by_name
-from core.analyzer import frequency_analysis, gap_analysis, positional_frequency
+from core.analyzer import (
+    frequency_analysis, gap_analysis, positional_frequency,
+    pair_analysis, odd_even_ratio, sum_range_analysis, delta_analysis,
+)
 from core.exporter import export_frequency_excel, ensure_exports_dir
 
 _LAST_N_OPTIONS = {
@@ -64,13 +72,17 @@ class AnalysisScreen(ttk.Frame):
         ttk.Button(bar, text="↻ Refresh", command=self.refresh).pack(side="right")
         ttk.Button(bar, text="Export Frequency", command=self._export_frequency).pack(side="right", padx=(0, 4))
 
-        # Notebook with three chart tabs
+        # Notebook — all seven chart tabs
         nb = ttk.Notebook(self)
         nb.pack(fill="both", expand=True, padx=6, pady=(0, 6))
 
-        self._freq_fig, self._freq_canvas = self._make_tab(nb, "Frequency")
-        self._heat_fig, self._heat_canvas = self._make_tab(nb, "Heatmap")
-        self._gap_fig,  self._gap_canvas  = self._make_tab(nb, "Gap")
+        self._freq_fig,  self._freq_canvas  = self._make_tab(nb, "Frequency")
+        self._heat_fig,  self._heat_canvas  = self._make_tab(nb, "Heatmap")
+        self._gap_fig,   self._gap_canvas   = self._make_tab(nb, "Gap")
+        self._pair_fig,  self._pair_canvas  = self._make_tab(nb, "Pairs")
+        self._oe_fig,    self._oe_canvas    = self._make_tab(nb, "Odd/Even")
+        self._sum_fig,   self._sum_canvas   = self._make_tab(nb, "Sum Range")
+        self._delta_fig, self._delta_canvas = self._make_tab(nb, "Deltas")
 
     def _make_tab(self, notebook, title):
         frame = ttk.Frame(notebook)
@@ -116,6 +128,10 @@ class AnalysisScreen(ttk.Frame):
         self._redraw_frequency()
         self._redraw_heatmap()
         self._redraw_gap()
+        self._redraw_pairs()
+        self._redraw_odd_even()
+        self._redraw_sum_range()
+        self._redraw_deltas()
 
     def _redraw_frequency(self):
         self._freq_fig.clear()
@@ -144,6 +160,42 @@ class AnalysisScreen(ttk.Frame):
             _draw_gap(ax, self._game_id)
         self._gap_canvas.draw()
 
+    def _redraw_pairs(self):
+        self._pair_fig.clear()
+        ax = self._pair_fig.add_subplot(111)
+        if self._game_id is None:
+            _empty(ax, "Select a game above")
+        else:
+            _draw_pairs(ax, self._game_id)
+        self._pair_canvas.draw()
+
+    def _redraw_odd_even(self):
+        self._oe_fig.clear()
+        ax = self._oe_fig.add_subplot(111)
+        if self._game_id is None:
+            _empty(ax, "Select a game above")
+        else:
+            _draw_odd_even(ax, self._game_id)
+        self._oe_canvas.draw()
+
+    def _redraw_sum_range(self):
+        self._sum_fig.clear()
+        ax = self._sum_fig.add_subplot(111)
+        if self._game_id is None:
+            _empty(ax, "Select a game above")
+        else:
+            _draw_sum_range(ax, self._game_id)
+        self._sum_canvas.draw()
+
+    def _redraw_deltas(self):
+        self._delta_fig.clear()
+        ax = self._delta_fig.add_subplot(111)
+        if self._game_id is None:
+            _empty(ax, "Select a game above")
+        else:
+            _draw_deltas(ax, self._game_id)
+        self._delta_canvas.draw()
+
     def _export_frequency(self):
         if self._game_id is None:
             messagebox.showinfo("Export", "Select a game first.")
@@ -183,7 +235,6 @@ def _draw_frequency(ax, game_id, last_n=None):
     avg    = sum(counts) / len(counts)
     max_c  = max(counts) or 1
 
-    # Gradient: cold (blue) → hot (red) based on frequency
     colors = [
         (0.15 + 0.7 * (c / max_c), 0.25, 1.0 - 0.75 * (c / max_c))
         for c in counts
@@ -215,7 +266,6 @@ def _draw_heatmap(ax, game_id):
     main_count = game["main_count"]
     main_max   = game["main_max"]
 
-    # Build rows × cols matrix (positions × numbers)
     matrix = np.zeros((main_count, main_max))
     for pos in range(1, main_count + 1):
         for num, cnt in pos_freq.get(pos, {}).items():
@@ -248,7 +298,6 @@ def _draw_gap(ax, game_id):
     avg      = sum(gap_vals) / len(gap_vals)
     max_g    = max(gap_vals) or 1
 
-    # Gradient: low gap = blue (hot), high gap = red (due)
     colors = [
         (0.8 * (g / max_g), 0.15, 1.0 - 0.8 * (g / max_g))
         for g in gap_vals
@@ -264,3 +313,106 @@ def _draw_gap(ax, game_id):
     ax.legend(fontsize=9)
     ax.tick_params(axis="x", labelsize=7)
     ax.grid(axis="y", alpha=0.35)
+
+
+def _draw_pairs(ax, game_id, top_n=20):
+    pairs = pair_analysis(game_id, top_n=top_n)
+    if not pairs:
+        _empty(ax)
+        return
+
+    # Sort by count descending, take top_n
+    sorted_pairs = sorted(pairs.items(), key=lambda x: x[1], reverse=True)[:top_n]
+    labels = [f"{a}-{b}" for (a, b), _ in sorted_pairs]
+    counts = [c for _, c in sorted_pairs]
+
+    y_pos = range(len(labels))
+    bars = ax.barh(list(y_pos), counts, color="#2471a3", edgecolor="none", height=0.7)
+    ax.set_yticks(list(y_pos))
+    ax.set_yticklabels(labels, fontsize=8)
+    ax.invert_yaxis()
+
+    # Annotate count on each bar
+    for bar, count in zip(bars, counts):
+        ax.text(bar.get_width() + 0.1, bar.get_y() + bar.get_height() / 2,
+                str(count), va="center", fontsize=7, color="#333333")
+
+    ax.set_title(f"Top {len(sorted_pairs)} Most Common Pairs", fontsize=11)
+    ax.set_xlabel("Times appeared together", fontsize=9)
+    ax.grid(axis="x", alpha=0.35)
+
+
+def _draw_odd_even(ax, game_id):
+    data = odd_even_ratio(game_id)
+    if not data:
+        _empty(ax)
+        return
+
+    # Distribution: how often each (odd, even) split occurs
+    split_counts: Counter = Counter()
+    main_count = data[0]["odd"] + data[0]["even"]
+    for row in data:
+        split_counts[(row["odd"], row["even"])] += 1
+
+    # Sort by odd count for a natural x-axis: 0 odd … main_count odd
+    splits = sorted(split_counts.keys(), key=lambda x: x[0])
+    labels = [f"{o}O/{e}E" for o, e in splits]
+    counts = [split_counts[s] for s in splits]
+    pcts   = [100 * c / len(data) for c in counts]
+
+    bars = ax.bar(labels, pcts, color="#1e8449", edgecolor="none", width=0.6)
+    for bar, pct in zip(bars, pcts):
+        ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height() + 0.5,
+                f"{pct:.1f}%", ha="center", va="bottom", fontsize=8)
+
+    ax.set_title("Odd / Even Split Distribution", fontsize=11)
+    ax.set_xlabel("Odd / Even balance", fontsize=9)
+    ax.set_ylabel("% of draws", fontsize=9)
+    ax.grid(axis="y", alpha=0.35)
+
+
+def _draw_sum_range(ax, game_id):
+    data = sum_range_analysis(game_id)
+    if not data:
+        _empty(ax)
+        return
+
+    sums = [row["sum"] for row in data]
+    avg  = sum(sums) / len(sums)
+
+    ax.hist(sums, bins=30, color="#8e44ad", edgecolor="white", linewidth=0.4)
+    ax.axvline(avg, color="#e74c3c", linewidth=1.5, linestyle="--",
+               label=f"Avg {avg:.1f}")
+
+    ax.set_title("Draw Sum Distribution", fontsize=11)
+    ax.set_xlabel("Sum of main numbers", fontsize=9)
+    ax.set_ylabel("Number of draws", fontsize=9)
+    ax.legend(fontsize=9)
+    ax.grid(axis="y", alpha=0.35)
+
+
+def _draw_deltas(ax, game_id):
+    data = delta_analysis(game_id)
+    if not data:
+        _empty(ax)
+        return
+
+    # Flatten all deltas across all draws into one distribution
+    all_deltas: Counter = Counter()
+    for row in data:
+        for d in row["deltas"]:
+            all_deltas[d] += 1
+
+    vals   = sorted(all_deltas.keys())
+    counts = [all_deltas[v] for v in vals]
+    avg    = sum(v * c for v, c in all_deltas.items()) / sum(all_deltas.values())
+
+    ax.bar(vals, counts, color="#d35400", edgecolor="none", width=0.8)
+    ax.axvline(avg, color="#2c3e50", linewidth=1.5, linestyle="--",
+               label=f"Avg {avg:.1f}")
+
+    ax.set_title("Delta Pattern Distribution", fontsize=11)
+    ax.set_xlabel("Gap between consecutive numbers in a draw", fontsize=9)
+    ax.set_ylabel("Frequency", fontsize=9)
+    ax.legend(fontsize=9)
+    ax.grid(axis="y", alpha=0.35)