CNTFT_TOC Twitch stats
Primary language: ZH
Welcome to the official China Region Teamfight Tactics Esports Channel.
Tracked since . Profile details synced .
- Tracked streams
- 21
- Highest tracked viewers
- 383
Stream history
Showing 1–21 of 21 tracked broadcasts, newest first.
Only broadcasts observed since we began tracking this channel on September 4, 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 |
|---|---|---|---|---|---|
| 云顶之弈公开赛秋季赛-总决赛 | Teamfight Tactics | 6h 53m | 215 | 383 | 1,478 |
| 云顶之弈公开赛秋季赛-半决赛 | Teamfight Tactics | 6h 43m | 122 | 203 | 821 |
| 云顶之弈秋季赛-正赛Day4 | Teamfight Tactics | 8h 6m | 143 | 236 | 1,160 |
| 云顶之弈秋季赛-正赛Day3 | Teamfight Tactics | 7h 22m | 94.4 | 139 | 697 |
| 云顶之弈秋季赛-正赛Day2 | Teamfight Tactics | 3h 24m | 79.4 | 102 | 270 |
| 云顶之弈秋季赛-正赛Day2 | Teamfight Tactics | 3h 44m | 88.0 | 111 | 330 |
| 云顶之弈秋季赛-正赛Day1 | Teamfight Tactics | 7h 24m | 115 | 191 | 849 |
| 云顶之弈秋季赛-突围赛Day3 | Teamfight Tactics | 7h 19m | 89.2 | 164 | 653 |
| 云顶之弈秋季赛-突围赛Day2 | Teamfight Tactics | 7h 5m | 114 | 276 | 806 |
| 云顶之弈秋季赛-突围赛Day1 | Teamfight Tactics | 7h 18m | 190 | 284 | 1,392 |
| 精英巡回赛-跨区对抗赛Day3 | Teamfight Tactics | 10h 43m | 115 | 323 | 1,233 |
| 精英巡回赛-跨区对抗赛Day2 | Teamfight Tactics | 9h 10m | 84.0 | 144 | 770 |
| 精英巡回赛-跨区对抗赛Day1 | Teamfight Tactics | 1h 35m | 55.6 | 76 | 88 |
| 精英巡回赛-跨区对抗赛Day1 | Teamfight Tactics | 6h 58m | 87.9 | 148 | 613 |
| 精英巡回赛-决赛 | Teamfight Tactics | 59m | 129 | 176 | 127 |
| 精英巡回赛-第二赛段Day2 | Teamfight Tactics | 1h 17m | 135 | 173 | 175 |
| 精英巡回赛-第二赛段Day1 | Teamfight Tactics | 6h 40m | 156 | 247 | 1,040 |
| 云顶之弈秋季赛抖云杯 | Teamfight Tactics | 5h 11m | 93.9 | 122 | 487 |
| 精英巡回赛-第一赛段Day3 | Teamfight Tactics | 7h 13m | 67.1 | 133 | 485 |
| 精英巡回赛-第一赛段Day2 | Teamfight Tactics | 7h 27m | 63.4 | 115 | 473 |
| 精英巡回赛-第一赛段Day1 | Teamfight Tactics | 8h 59m | 63.6 | 112 | 572 |
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.