diff --git a/client/src/pages/SituationalAwarenessPage.tsx b/client/src/pages/SituationalAwarenessPage.tsx
index 7a28d74..be2635c 100644
--- a/client/src/pages/SituationalAwarenessPage.tsx
+++ b/client/src/pages/SituationalAwarenessPage.tsx
@@ -240,7 +240,7 @@ function HealthScoreTab({ navigate }: { navigate: (path: string) => void }) {
             { key: 'health_score', label: '健康分' },
             { key: 'received', label: '实收' },
             { key: 'avg_margin', label: '毛利率' },
-            { key: 'over_cost_rate', label: '超耗率' },
+            { key: 'avg_cost_variance_pct', label: '成本差异率' },
             { key: 'repeat_rate_pct', label: '复购率' },
             { key: 'task_completion_rate', label: '完成率' },
           ]}
@@ -268,7 +268,7 @@ function HealthScoreTab({ navigate }: { navigate: (path: string) => void }) {
             { key: 'received', label: '实收', align: 'right', render: (r) => formatCurrency(r.received) },
             { key: 'avg_bill_value', label: '客单价', align: 'right', render: (r) => formatCurrency(r.avg_bill_value) },
             { key: 'avg_margin', label: '毛利率', align: 'right', render: (r) => `${r.avg_margin}%` },
-            { key: 'over_cost_rate', label: '超耗率', align: 'right', render: (r) => `${r.over_cost_rate}%` },
+            { key: 'avg_cost_variance_pct', label: '成本差异率', align: 'right', render: (r) => `${r.avg_cost_variance_pct}%` },
             { key: 'repeat_rate_pct', label: '复购率', align: 'right', render: (r) => `${r.repeat_rate_pct}%` },
             { key: 'task_completion_rate', label: '任务完成率', align: 'right', render: (r) => `${r.task_completion_rate}%` },
           ]}
@@ -457,7 +457,7 @@ function CorrelationTab({ navigate }: { navigate: (path: string) => void }) {
   const costRiskScatter = costRiskRows.map((r: any) => ({
     name: r.store_name,
     x: Number(r.avg_daily_received || 0),
-    y: Number(r.over_cost_rate || 0),
+    y: Number(r.avg_cost_variance_pct || 0),
     risk: r.risk_level,
     fill: r.risk_level === '红色' ? '#ef4444' : r.risk_level === '黄色' ? '#eab308' : '#22c55e',
   }))
@@ -488,7 +488,7 @@ function CorrelationTab({ navigate }: { navigate: (path: string) => void }) {
           sortOptions={[
             { key: 'received', label: '实收' },
             { key: 'avg_margin', label: '毛利率' },
-            { key: 'over_cost_rate', label: '超耗率' },
+            { key: 'avg_cost_variance_pct', label: '成本差异率' },
           ]}
           statusFilterKey="risk_level"
           statusFilterLabel="全部风险"
@@ -503,7 +503,7 @@ function CorrelationTab({ navigate }: { navigate: (path: string) => void }) {
             { key: 'risk_level', label: '风险', align: 'center', render: (r) => r.risk_level ? <Badge type="risk" text={r.risk_level} /> : '-' },
             { key: 'received', label: '实收', align: 'right', render: (r) => formatCurrency(r.received) },
             { key: 'avg_margin', label: '毛利率', align: 'right', render: (r) => `${r.avg_margin}%` },
-            { key: 'over_cost_rate', label: '超耗率', align: 'right', render: (r) => `${r.over_cost_rate}%` },
+            { key: 'avg_cost_variance_pct', label: '成本差异率', align: 'right', render: (r) => `${r.avg_cost_variance_pct}%` },
             { key: 'correlation_status', label: '关联状态', align: 'center', render: (r) => (
               <span className={cn('inline-flex items-center rounded-md border px-2 py-0.5 text-xs font-medium', correlationStatusColor[r.correlation_status] || 'bg-gray-100 text-gray-700 border-gray-300')}>
                 {r.correlation_status}
diff --git a/server/src/routes/situational-awareness.ts b/server/src/routes/situational-awareness.ts
index e1b6525..a67dbd9 100644
--- a/server/src/routes/situational-awareness.ts
+++ b/server/src/routes/situational-awareness.ts
@@ -17,18 +17,17 @@ router.get('/health-score', async (req: AuthRequest, res) => {
         FROM analytics.mv_store_risk_rating
         WHERE received IS NOT NULL
       ),
-      max_rev AS (
-        SELECT max(avg_daily_received) AS max_avg FROM base WHERE avg_daily_received > 0
-      ),
       cost AS (
         SELECT store_code,
-          round(sum(CASE WHEN variance_to_theoretical_pct > 0 THEN 1 ELSE 0 END)::numeric / nullif(count(*), 0) * 100, 1) AS over_cost_rate
+          round(avg(LEAST(variance_to_theoretical_pct, 50))::numeric, 1) AS avg_cost_variance_pct
         FROM analytics.v_store_theoretical_actual_cost_april
+        WHERE variance_to_theoretical_pct IS NOT NULL
         GROUP BY store_code
       ),
       member AS (
-        SELECT store_code, repeat_rate_pct
+        SELECT store_code, max(repeat_rate_pct) AS repeat_rate_pct
         FROM analytics.v_store_repeat_summary_monthly
+        GROUP BY store_code
       ),
       task AS (
         SELECT store_code,
@@ -43,26 +42,35 @@ router.get('/health-score', async (req: AuthRequest, res) => {
           b.store_code, b.store_name, b.received, b.bill_count, b.avg_bill_value,
           b.risk_level,
           COALESCE(b.theoretical_margin_pct, 0) AS avg_margin,
-          COALESCE(c.over_cost_rate, 0) AS over_cost_rate,
+          COALESCE(c.avg_cost_variance_pct, 20) AS avg_cost_variance_pct,
           COALESCE(m.repeat_rate_pct, 0) AS repeat_rate_pct,
           COALESCE(b.member_bill_share_pct, 0) AS member_share_pct,
           COALESCE(t.completion_rate, 0) AS task_completion_rate,
           LEAST(100, GREATEST(0,
-            25 * CASE WHEN b.avg_daily_received > 0 THEN LEAST(1.0, b.avg_daily_received / mx.max_avg) ELSE 0 END
-            + 20 * GREATEST(0, LEAST(1.0, COALESCE(b.theoretical_margin_pct, 0) / 70)) * GREATEST(0, 1 - COALESCE(c.over_cost_rate, 0) / 100)
-            + CASE b.risk_level WHEN '绿色' THEN 20 WHEN '黄色' THEN 12 WHEN '红色' THEN 4 ELSE 10 END
-            + 10 * GREATEST(0, LEAST(1.0, COALESCE(m.repeat_rate_pct, 0) / 80))
+            -- 1. 营收规模 20分：30000=满分，中位18642≈12分
+            20 * LEAST(1.0, b.avg_daily_received / 30000)
+            -- 2. 成本控制 20分：差异率0%=满分，50%=0分，中位19%≈12分
+            + 20 * GREATEST(0, 1 - LEAST(COALESCE(c.avg_cost_variance_pct, 20), 50) / 50)
+            -- 3. 毛利率 15分：60%=0分，75%=满分，均值71.5%≈11.5分
+            + 15 * LEAST(1.0, GREATEST(0, COALESCE(b.theoretical_margin_pct, 0) - 60) / 15)
+            -- 4. 风险等级 10分
+            + CASE b.risk_level WHEN '绿色' THEN 10 WHEN '黄色' THEN 6 WHEN '红色' THEN 2 ELSE 4 END
+            -- 5. 复购率 10分：40%=满分，中位35%≈8.75分
+            + 10 * LEAST(1.0, COALESCE(m.repeat_rate_pct, 0) / 40)
+            -- 6. 会员占比 10分：20%=满分，中位12.5%≈6.25分
+            + 10 * LEAST(1.0, COALESCE(b.member_bill_share_pct, 0) / 20)
+            -- 7. 任务完成 10分
             + 10 * COALESCE(t.completion_rate, 0) / 100
-            + 10 * GREATEST(0, LEAST(1.0, COALESCE(b.member_bill_share_pct, 0) / 60))
+            -- 8. 客单价 5分：40元=满分，中位33.4≈4.2分
+            + 5 * LEAST(1.0, COALESCE(b.avg_bill_value, 0) / 40)
           ))::numeric(5,1) AS health_score
         FROM base b
-        CROSS JOIN max_rev mx
         LEFT JOIN cost c ON b.store_code = c.store_code
         LEFT JOIN member m ON b.store_code = m.store_code
         LEFT JOIN task t ON b.store_code = t.store_code
       )
       SELECT store_code, store_name, received, bill_count, avg_bill_value,
-             risk_level, avg_margin, over_cost_rate, repeat_rate_pct,
+             risk_level, avg_margin, avg_cost_variance_pct, repeat_rate_pct,
              member_share_pct, task_completion_rate, health_score,
              CASE WHEN health_score >= 75 THEN '健康'
                   WHEN health_score >= 55 THEN '亚健康'
@@ -272,26 +280,27 @@ router.get('/correlation', async (req: AuthRequest, res) => {
         r.store_code, r.store_name, r.risk_level,
         r.received, r.avg_daily_received,
         COALESCE(r.theoretical_margin_pct, 0) AS avg_margin,
-        COALESCE(c.over_cost_rate, 0) AS over_cost_rate,
+        COALESCE(c.avg_cost_variance_pct, 20) AS avg_cost_variance_pct,
         CASE
-          WHEN r.risk_level = '红色' AND COALESCE(c.over_cost_rate, 0) > 30 THEN '成本失控+高风险'
+          WHEN r.risk_level = '红色' AND COALESCE(c.avg_cost_variance_pct, 20) > 30 THEN '成本失控+高风险'
           WHEN r.risk_level = '红色' THEN '高风险'
-          WHEN r.risk_level = '黄色' AND COALESCE(c.over_cost_rate, 0) > 20 THEN '成本偏高+中风险'
-          WHEN COALESCE(c.over_cost_rate, 0) > 30 THEN '成本失控'
+          WHEN r.risk_level = '黄色' AND COALESCE(c.avg_cost_variance_pct, 20) > 25 THEN '成本偏高+中风险'
+          WHEN COALESCE(c.avg_cost_variance_pct, 20) > 30 THEN '成本失控'
           ELSE '正常'
         END AS correlation_status
       FROM analytics.mv_store_risk_rating r
       LEFT JOIN (
         SELECT store_code,
-          round(sum(CASE WHEN variance_to_theoretical_pct > 0 THEN 1 ELSE 0 END)::numeric / nullif(count(*), 0) * 100, 1) AS over_cost_rate
+          round(avg(LEAST(variance_to_theoretical_pct, 50))::numeric, 1) AS avg_cost_variance_pct
         FROM analytics.v_store_theoretical_actual_cost_april
+        WHERE variance_to_theoretical_pct IS NOT NULL
         GROUP BY store_code
       ) c ON r.store_code = c.store_code
       WHERE r.received IS NOT NULL
       ORDER BY
-        CASE WHEN r.risk_level = '红色' AND COALESCE(c.over_cost_rate, 0) > 30 THEN 0
+        CASE WHEN r.risk_level = '红色' AND COALESCE(c.avg_cost_variance_pct, 20) > 30 THEN 0
              WHEN r.risk_level = '红色' THEN 1
-             WHEN r.risk_level = '黄色' AND COALESCE(c.over_cost_rate, 0) > 20 THEN 2
+             WHEN r.risk_level = '黄色' AND COALESCE(c.avg_cost_variance_pct, 20) > 25 THEN 2
              ELSE 3 END,
         r.received DESC NULLS LAST
     `)