dodi_de_larroia Twitch stats
Twitch PartnerPrimary language: PT
🍣 Sushiman por profissão, gamer por paixão e editor de vídeos! 🎮 Das facas ao joystick, aqui tem sushi ao vivo, gameplay e muita resenha. 🔥 Do sushi ao joystick, a live não para!
Tracked since . Profile details synced .
- Tracked streams
- 13
- Highest tracked viewers
- 177
Stream history
Showing 1–13 of 13 tracked broadcasts, newest first.
Only broadcasts observed since we began tracking this channel on October 7, 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 |
|---|---|---|---|---|---|
| JOGANDO UM ZELDA, SÓ DE ROLÊ NO MAPA👊🍣 | The Legend of Zelda: Breath of the Wild | 2h 11m | 60.1 | 81 | 131 |
| JOGANDO UM ZELDA, SÓ DE ROLÊ NO MAPA👊🍣 | The Legend of Zelda: Breath of the Wild | 1h 20m | 139 | 177 | 186 |
| ZELDA BOTW SÓ A GAMEPLAY PRA VC DORMIR E O CELULAR CAIR NA SUA CARA😁Partial data | The Legend of Zelda: Breath of the Wild | 2h 21m | 62.7 | 102 | 148 |
| chegando em Zora! bora lá! | The Legend of Zelda: Breath of the Wild | 3h 18m | 96.6 | 126 | 320 |
| making sushi at home (fazendo sushi em casa)Partial data | Just Chatting | 4h 41m | 63.6 | 119 | 298 |
| live dos caçadores coletores de zelda | The Legend of Zelda: Breath of the Wild | 2h 22m | 77.7 | 143 | 185 |
| making sushi at home (fazendo sushi em casa) | Just Chatting | 2h 49m | 69.4 | 136 | 197 |
| making sushi at home (fazendo sushi em casa) | Super Mario Odyssey | 3h 1m | 85.5 | 119 | 259 |
| making sushi at home (fazendo sushi em casa) | Super Mario Odyssey | 2h 49m | 95.2 | 107 | 269 |
| making sushi at home (fazendo sushi em casa) | Super Mario Odyssey | 2h 6m | 26.9 | 144 | 57 |
| fazendo sushi em casa | Super Mario Odyssey | 2h 15m | 74.2 | 162 | 167 |
| fazendo sushi em casa | Super Mario Odyssey | 1h 17m | 113 | 132 | 146 |
| fazendo sushi em casa | Super Mario Odyssey | 45m | 96.7 | 121 | 73 |
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.
