梓澪與村長 Twitch stats
Twitch PartnerPrimary language: ZH-HK
梓澪村長的馬騮村，一齊來玩吧！定時星期一、三、四、六、日！晚上7點30分直播！合作聯繫(Contact email): [email protected] (operated by 梓澪)
Tracked since . Profile details synced .
- Tracked streams
- 35
- Highest tracked viewers
- 3,033
Stream history
Showing 26–35 of 35 tracked broadcasts, newest first.
Only broadcasts observed since we began tracking this channel on August 15, 2026 appear here — earlier streams exist on Twitch but were never in our dataset, so we do not list them.
| Stream | Category | Duration | Avg viewers | Peak | Hours watched |
|---|---|---|---|---|---|
| [馬騮村] 梓澪 | 週四(?)恐怖遊戲之夜，鬼子母結局，繼續嚇破膽!!| !linktree !每天照片 | ★31/08 19:30★ | @s201111 | Just Chatting | 3h 50m | 1,403 | 1,773 | 5,387 |
| [馬騮村] 梓澪 | 週四(?)恐怖遊戲之夜，鬼子母完整版來了，好恐怖喔@@| !linktree !每天照片 | ★30/08 19:30★ | @s201111 | Just Chatting | 3h 12m | 1,396 | 1,690 | 4,484 |
| [馬騮村] 梓澪 | 好玩後的悠閒時間 (ﾉ∀`*) | !linktree !每天照片 !好玩遊戲 | ★27/08 19:30★ | @s201111 | Just Chatting | 4h 28m | 1,414 | 2,242 | 6,321 |
| [馬騮村] 梓澪 | 聊跳聊 + 007初露鋒芒，大結局來了，最後007能成功制裁大壞蛋嗎??? | !linktree !每天照片 | ★26/08 20:30★ | @s201111 | Just Chatting | 4h 2m | 1,538 | 2,395 | 6,217 |
| [馬騮村] 梓澪 | 聊聊聊 + 007初露鋒芒，與美女搭擋，福利滿滿A_A | !linktree !每天照片 | ★24/08 19:30★ | @s201111 | Just Chatting | 4h 6m | 1,760 | 2,224 | 7,225 |
| [馬騮村] 梓澪 | 聊跳聊 + 007初露鋒芒，天煞孤星007，又害死一個隊友了@@ | !linktree !每天照片 | ★23/08 19:30★ | @s201111 | Just Chatting | 4h 37m | 1,711 | 2,282 | 7,917 |
| [馬騮村] 梓澪 | 好玩後的悠閒時間 (ﾉ∀`*) | !linktree !每天照片 !好玩遊戲 | ★20/08 19:30★ | @s201111 | Just Chatting | 4h 55m | 1,454 | 2,192 | 7,157 |
| [馬騮村] 梓澪 | 聊跳聊 + 007初露鋒芒，天煞孤星007，又死一個重要的同伴QQ | !linktree !每天照片 | ★17/08 19:30★ | @s201111 | Just Chatting | 1h 59m | 1,714 | 2,907 | 3,425 |
| [馬騮村] 梓澪 | 聊跳聊 + 007初露鋒芒，007就是要配火辣美女，繼續執行任務A_A | !linktree !每天照片 | ★16/08 19:30★ | @s201111 | Just Chatting | 5h 2m | 1,078 | 1,547 | 5,432 |
| [馬騮村] 梓澪 | 聊聊聊 + 007初露鋒芒，大場面來了007又能大難不死嗎? | !linktree !每天照片 !外訪大使 | ★15/08 19:30★ | @s201111 | Just Chatting | 4h 49m | 1,541 | 2,883 | 7,431 |
Times are UTC. Average and peak viewers come from periodic sampling of the live broadcast, so they are close estimates rather than exact platform figures. A stream marked “partial data” had gaps in our sampling; the unobserved time is excluded from its averages rather than filled in.
This profile has enough tracked history to be listed in search engines. How these numbers are calculated.