許瑜 Twitch stats
Twitch PartnerPrimary language: ZH
ก็ʕ•͡ᴥ•ʔ ก้ 歡迎各位廠商合作邀約 來信聯繫: [email protected] 🩵可合作內容: 實況工商、IG.FB貼文/影片、任何網路/活動-出席/主持、廣告/短劇拍攝。‼️服裝無法裸露、性感 ✅Only日常著裝 ‼️不接以小時按照薪資以及需保證下載量的遊戲合作 ‼️不接私人、團拍攝影作品拍攝
Tracked since . Profile details synced .
- Tracked streams
- 41
- Highest tracked viewers
- 645
Stream history
Showing 26–41 of 41 tracked broadcasts, newest first.
Only broadcasts observed since we began tracking this channel on August 14, 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 |
|---|---|---|---|---|---|
| (^◔ᴥ◔^) 0828 魚輻能 !禮物 !dc | VALORANT | 6h 5m | 98.4 | 113 | 599 |
| (^◔ᴥ◔^) 0827 魚輻能 | VALORANT | 4h 54m | 95.5 | 115 | 469 |
| (^◔ᴥ◔^) 0826 魚超凡 | VALORANT | 3h 54m | 112 | 127 | 439 |
| (^◔ᴥ◔^) 0824 玩啥0..0 | VALORANT | 4h 7m | 187 | 645 | 770 |
| (^◔ᴥ◔^) 0822 我這一生如鋁箔包 | Teamfight Tactics | 10h 43m | 124 | 185 | 1,329 |
| (^◔ᴥ◔^) 0821 繼續! 快到了 打到要運動~ / 生日週邊小延誤這週寄出! | Teamfight Tactics | 10h 12m | 103 | 133 | 1,051 |
| (^◔ᴥ◔^) 0820 繼續! 今天再歸零就不打了QAQ / 生日週邊小延誤這週寄出! | Teamfight Tactics | 7h 16m | 110 | 130 | 801 |
| (^◔ᴥ◔^) 0819 點到兩點出門運動! / 生日週邊小延誤這週寄出! | Teamfight Tactics | 1h 53m | 106 | 121 | 200 |
| (^◔ᴥ◔^) 0819 七夕情人節 但有你每天都是情人節˙ / 生日週邊小延誤這週寄出! | Teamfight Tactics | 2h 11m | 109 | 121 | 239 |
| (^◔ᴥ◔^) 0819 先認真下棋 晚上情人節OUO / 生日週邊小延誤這週寄出! | Teamfight Tactics | 3h 39m | 100 | 109 | 366 |
| (^◔ᴥ◔^) 0818 感覺是今天 / 生日週邊小延誤這週寄出! | Teamfight Tactics | 2h 58m | 107 | 116 | 318 |
| (^◔ᴥ◔^) 0818 認真爬牌位 / 生日週邊小延誤這週寄出! | Teamfight Tactics | 1h 20m | 119 | 193 | 160 |
| (^◔ᴥ◔^) 0817 認真爬牌位 / 生日週邊小延誤這週寄出! | Teamfight Tactics | 3h 8m | 121 | 136 | 381 |
| (^◔ᴥ◔^) 0816 認真爬牌位 / 生日週邊小延誤 寄出公告! | Teamfight Tactics | 3h 3m | 110 | 199 | 337 |
| (^◔ᴥ◔^) 0815 認真爬牌位 / 生日週邊小延誤 寄出公告! | Teamfight Tactics | 3h 49m | 118 | 132 | 452 |
| (^◔ᴥ◔^) 0814 認真爬牌位 / 生日週邊小延誤 寄出公告! | Teamfight Tactics | 1h 50m | 104 | 114 | 191 |
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.