diff --git a/packages/stats/app/src/routes/[lab]/[model].tsx b/packages/stats/app/src/routes/[lab]/[model].tsx
index a71fd8e61b..adbbf95c5c 100644
--- a/packages/stats/app/src/routes/[lab]/[model].tsx
+++ b/packages/stats/app/src/routes/[lab]/[model].tsx
@@ -1143,10 +1143,16 @@ function PeerRow(props: { peer: ModelPeerEntry; active: boolean }) {
         href={language.route(`${import.meta.env.BASE_URL}${providerSlug(props.peer.provider)}/${props.peer.slug}`)}
         data-active={props.active ? "true" : undefined}
       >
-        <span>{String(props.peer.rank).padStart(2, "0")}</span>
-        <ProviderIcon aria-hidden="true" id={getProviderIconId(props.peer.author)} />
-        <strong>{props.peer.model}</strong>
-        <em>{props.peer.author}</em>
+        <span data-slot="model-peer-rank" aria-label={props.active ? `Rank ${props.peer.rank}` : undefined}>
+          <Show when={!props.active}>{String(props.peer.rank).padStart(2, "0")}</Show>
+        </span>
+        <span data-slot="model-peer-avatar">
+          <ProviderIcon aria-hidden="true" id={getProviderIconId(props.peer.author)} />
+        </span>
+        <span data-slot="model-peer-copy">
+          <strong>{props.peer.model}</strong>
+          <em>{props.peer.author}</em>
+        </span>
         <b>{formatTokens(props.peer.tokens)}</b>
       </a>
     </li>
diff --git a/packages/stats/app/src/routes/index.css b/packages/stats/app/src/routes/index.css
index a2b652b15b..2b57338bf8 100644
--- a/packages/stats/app/src/routes/index.css
+++ b/packages/stats/app/src/routes/index.css
@@ -5159,7 +5159,10 @@
 
 [data-page="stats"] [data-component="model-peer-list"] {
   display: grid;
-  gap: 8px;
+  grid-auto-flow: column;
+  grid-auto-columns: minmax(0, 1fr);
+  grid-template-rows: repeat(5, 64px);
+  gap: 12px 40px;
   margin: 0;
   padding: 0;
   list-style: none;
@@ -5167,11 +5170,12 @@
 
 [data-page="stats"] [data-component="model-peer-list"] a {
   display: grid;
-  grid-template-columns: 38px 24px minmax(0, 1fr) minmax(96px, auto) minmax(80px, auto);
-  gap: 12px;
+  grid-template-columns: 32px 32px minmax(0, 1fr) minmax(64px, auto);
+  gap: 16px;
   align-items: center;
-  min-height: 44px;
-  padding: 0 12px;
+  box-sizing: border-box;
+  height: 64px;
+  padding: 15px 16px;
   border: 1px solid var(--stats-line);
   background: var(--stats-layer);
   color: var(--stats-text);
@@ -5180,25 +5184,56 @@
 
 [data-page="stats"] [data-component="model-peer-list"] a:hover,
 [data-page="stats"] [data-component="model-peer-list"] a[data-active="true"] {
-  border-color: var(--stats-line-strong);
+  border-color: var(--stats-text);
   background: var(--stats-bg);
   text-decoration: none;
 }
 
-[data-page="stats"] [data-component="model-peer-list"] span,
+[data-page="stats"] [data-slot="model-peer-rank"],
 [data-page="stats"] [data-component="model-peer-list"] em,
 [data-page="stats"] [data-component="model-peer-list"] b {
   color: var(--stats-muted);
-  font-size: 11px;
+  font-size: 13px;
   font-style: normal;
   font-weight: 500;
-  line-height: 1.2;
+  line-height: 16px;
+  font-variant-numeric: tabular-nums;
 }
 
-[data-page="stats"] [data-component="model-peer-list"] svg {
+[data-page="stats"] [data-slot="model-peer-rank"] {
+  position: relative;
+  display: grid;
+  place-items: center;
+  width: 32px;
+  height: 32px;
+}
+
+[data-page="stats"] [data-component="model-peer-list"] a[data-active="true"] [data-slot="model-peer-rank"]::before {
+  width: 6px;
+  height: 6px;
+  content: "";
+  background: var(--stats-text);
+}
+
+[data-page="stats"] [data-slot="model-peer-avatar"] {
+  display: grid;
+  place-items: center;
+  width: 32px;
+  height: 32px;
+  color: var(--stats-muted);
+  background: var(--stats-bg);
+  box-shadow: inset 0 0 0 1px var(--stats-line);
+}
+
+[data-page="stats"] [data-slot="model-peer-avatar"] svg {
   width: 18px;
   height: 18px;
-  color: var(--stats-muted);
+}
+
+[data-page="stats"] [data-slot="model-peer-copy"] {
+  display: grid;
+  gap: 2px;
+  min-width: 0;
 }
 
 [data-page="stats"] [data-component="model-peer-list"] strong {
@@ -5207,11 +5242,16 @@
   color: var(--stats-text);
   font-size: 13px;
   font-weight: 600;
-  line-height: 1.2;
+  line-height: 16px;
   text-overflow: ellipsis;
   white-space: nowrap;
 }
 
+[data-page="stats"] [data-component="model-peer-list"] b {
+  justify-self: end;
+  color: var(--stats-text);
+}
+
 [data-page="stats"][data-theme="dark"],
 :root[data-stats-theme="dark"] [data-page="stats"]:not([data-theme="light"]) {
   color-scheme: dark;
@@ -5749,11 +5789,12 @@
   }
 
   [data-page="stats"] [data-component="model-peer-list"] a {
-    grid-template-columns: 32px 22px minmax(0, 1fr) minmax(72px, auto);
+    grid-template-columns: 32px 32px minmax(0, 1fr) minmax(64px, auto);
+    gap: 12px;
   }
 
   [data-page="stats"] [data-component="model-peer-list"] em {
-    display: none;
+    display: block;
   }
 
   [data-page="stats"] [data-slot="chart-footer"] {
@@ -6304,12 +6345,20 @@
     min-width: 0;
   }
 
-  [data-page="stats"] [data-component="model-peer-list"] a {
-    grid-template-columns: 30px minmax(0, 1fr) minmax(64px, auto);
+  [data-page="stats"] [data-component="model-peer-list"] {
+    grid-auto-flow: row;
+    grid-auto-columns: auto;
+    grid-template-rows: none;
+    gap: 12px;
   }
 
-  [data-page="stats"] [data-component="model-peer-list"] svg {
-    display: none;
+  [data-page="stats"] [data-component="model-peer-list"] a {
+    grid-template-columns: 28px 32px minmax(0, 1fr) minmax(56px, auto);
+    gap: 12px;
+  }
+
+  [data-page="stats"] [data-slot="model-peer-rank"] {
+    width: 28px;
   }
 
   [data-page="stats"] [data-section="top-models"] [data-slot="chart-footer"] {
diff --git a/packages/stats/core/src/domain/home.ts b/packages/stats/core/src/domain/home.ts
index 346d4da4f9..afaf624ca5 100644
--- a/packages/stats/core/src/domain/home.ts
+++ b/packages/stats/core/src/domain/home.ts
@@ -646,8 +646,8 @@ function buildModelTokenMix(aggregate: ModelAggregate): ModelMixEntry[] {
 }
 
 function buildModelPeers(peers: ModelAggregate[], rank: number, totalTokens: number): ModelPeerEntry[] {
-  const start = Math.max(0, Math.min(rank - 4, Math.max(peers.length - 7, 0)))
-  return peers.slice(start, start + 7).map((item, index) => ({
+  const start = Math.max(0, Math.min(rank - 5, Math.max(peers.length - 10, 0)))
+  return peers.slice(start, start + 10).map((item, index) => ({
     model: item.model,
     provider: item.provider,
     author: formatProvider(item.provider),