diff --git a/app/models/__init__.py b/app/models/__init__.py
index 1f9a0d8..694aa00 100644
--- a/app/models/__init__.py
+++ b/app/models/__init__.py
@@ -7,6 +7,10 @@ from app.models.ad_watch_log import AdWatchLog  # noqa: F401
 from app.models.admin import AdminAuditLog, AdminUser  # noqa: F401
 from app.models.admin_role import AdminRole  # noqa: F401
 from app.models.analytics_event import AnalyticsEvent  # noqa: F401
+from app.models.analytics_selfstat import (  # noqa: F401
+    AnalyticsSelfStat,
+    AnalyticsSelfStatEvent,
+)
 from app.models.app_config import AppConfig  # noqa: F401
 from app.models.comparison import ComparisonRecord  # noqa: F401
 from app.models.cps_activity import CpsActivity  # noqa: F401
diff --git a/app/models/analytics_selfstat.py b/app/models/analytics_selfstat.py
new file mode 100644
index 0000000..03bb79c
--- /dev/null
+++ b/app/models/analytics_selfstat.py
@@ -0,0 +1,59 @@
+"""埋点/上报成功率自报计数快照表(append-only)。
+
+客户端周期上报「自 epoch 起算的累计计数」;服务端只存原始快照,查询时在 Python 侧差分聚合
+(见 app/admin/repositories/analytics_health.py)。与既有 analytics_event 表完全独立。
+
+- analytics_selfstat        :一快照一行(快照头 + 设备维度 + 设备级诊断量)
+- analytics_selfstat_event  :一 event 一行(四类累计计数),外键指向快照头
+"""
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import BigInteger, DateTime, ForeignKey, Integer, String, func
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.db.base import Base
+
+
+class AnalyticsSelfStat(Base):
+    __tablename__ = "analytics_selfstat"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    device_id: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
+    epoch_id: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
+    # 设备维度(每设备固定,下钻用)
+    app_ver: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    oem: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    os: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    # 设备级诊断量(累计;queue_depth 是瞬时 gauge)
+    batches_attempted: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    batches_ok: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    batches_fail: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    retries: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    queue_depth: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
+    sent_at: Mapped[int | None] = mapped_column(BigInteger, nullable=True)  # 端上报时刻 epoch ms
+    # 服务端接收时间(权威,用于时间分桶与分区排序)
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), index=True, nullable=False
+    )
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"<AnalyticsSelfStat id={self.id} device={self.device_id} epoch={self.epoch_id}>"
+
+
+class AnalyticsSelfStatEvent(Base):
+    __tablename__ = "analytics_selfstat_event"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    snapshot_id: Mapped[int] = mapped_column(
+        ForeignKey("analytics_selfstat.id"), index=True, nullable=False
+    )
+    event: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
+    attempted: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    drop_capture: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    delivered: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+    drop_undelivered: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"<AnalyticsSelfStatEvent snap={self.snapshot_id} event={self.event}>"