FlyingTuna Twitch stats
Primary language: EN
Hello! I am Tuna, a former Global #1 osu! player and osu! champion. I play osu! and variety of games and welcome anyone to my community :3
Tracked since . Profile details synced .
- Tracked streams
- 19
- Highest tracked viewers
- 1,485
Stream history
Showing 1–19 of 19 tracked broadcasts, newest first.
Only broadcasts observed since we began tracking this channel on August 18, 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 |
|---|---|---|---|---|---|
| 🔴OWC GRIND🔴| !kofi | osu! | 2h 48m | 195 | 245 | 546 |
| 🔴SHORT OWC GRIND🔴| !kofi | osu! | 1h 34m | 198 | 235 | 311 |
| 🔴OWC GRIND🔴| !kofi | osu! | 2h 21m | 204 | 272 | 481 |
| 🔴I OVERDOSED WITH CAFFEINE BUT LOCK IN🔴| !kofi | osu! | 2h 50m | 222 | 283 | 629 |
| 🔴CAN FLYINGTUNA BEAT EVERY RANK COMBINED? 10 UTC🔴| !kofi | osu! | 3h 3m | 274 | 441 | 836 |
| 🔴OZU WORLD CUP SOUTH KOREA TRYOUT AT 12:30 UTC🔴| !kofi | osu! | 2h 6m | 392 | 454 | 825 |
| 🔴TRYING RING INDEX🔴| !kofi | osu! | 2h 23m | 205 | 258 | 491 |
| 🔴GETTING USED TO NEW GRIP🔴| !kofi | osu! | 3h 24m | 299 | 348 | 1,016 |
| 🔴SHORT ARAM MAYHEM🔴| !kofi | osu! | 2h 31m | 138 | 170 | 350 |
| 🔴OSU PLAYER TRIES LEAGUE OF LEGENDS 🔴| !kofi | League of Legends | 3h 18m | 186 | 292 | 615 |
| 🔴OZUING🔥🔴| !kofi | osu! | 3h 20m | 339 | 490 | 1,136 |
| 🔴 PAJAMA GAMING AT 4 AM 🐟 | osu! | 2h 39m | 247 | 1,485 | 660 |
| [#43] grinding some osu 🐟 | !kofi | osu! | 3h 58m | 251 | 525 | 996 |
| testing youtube multistream | !membership | osu! | 3h 2m | 150 | 180 | 456 |
| derust | !kofi | osu! | 2h 35m | 93.8 | 119 | 243 |
| Korean Draft Tournament Grand Final | !kofi | osu! | 1h 34m | 83.2 | 101 | 131 |
| speed grind | !kofi | osu! | 2h 36m | 144 | 166 | 376 |
| Korean Draft Tournament Finals | !kofi | osu! | 1h 59m | 170 | 195 | 337 |
| LONG TIME NO SEE... | !kofi | osu! | 2h 24m | 139 | 204 | 337 |
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.
