Funderful Twitch stats
Hey there, I'm Funderful, but you can also call me Brett! I'm a 30 year old from Alberta Canada. I mainly Speedrun my favorite games. Banjo-Kazooie is my calling.
Tracked since . Profile details synced .
- Tracked streams
- 26
- Highest tracked viewers
- 250
Stream history
Showing 1–25 of 57 broadcasts, newest first.
Recovered history
Broadcasts read back from Twitch’s public VOD record. Each one genuinely happened, on the date and for the duration shown — but nobody was counting viewers at the time, so this archive carries no viewership figures and none have been estimated for it.
- Past broadcasts
- 31
- Hours streamed
- 116
- Archive covers
- to
This channel has been streaming since , per Twitch’s VOD record. We have been measuring viewership since , so every viewer figure on this profile is bounded by that later date. VOD record last read .
| Stream | Category | Duration | Avg viewers | Peak | Hours watched |
|---|---|---|---|---|---|
| [WR ATTEMPTS] - Day 13 - Banjo-Kazooie Speedruns - Any% No-FFMPartial data | Banjo-Kazooie | 1h 37m | 108 | 127 | 176 |
| [WR ATTEMPTS] - Day 12 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 2h 14m | 86.4 | 99 | 194 |
| [WR ATTEMPTS] - Day 11 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 4h 25m | 105 | 135 | 466 |
| [WR ATTEMPTS] - Day 10 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 3h 37m | 133 | 156 | 482 |
| [WR ATTEMPTS] - Day 9 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 3h 46m | 118 | 138 | 445 |
| [WR ATTEMPTS] - Day 8 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 2h 49m | 106 | 125 | 298 |
| [WR ATTEMPTS] - Day 7 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 2h 56m | 131 | 182 | 386 |
| [WR ATTEMPTS] - Day 6 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 5h 37m | 145 | 227 | 816 |
| [WR ATTEMPTS] - Day 5 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 3h 6m | 115 | 137 | 356 |
| Day 4 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 3h 2m | 100.0 | 114 | 305 |
| Day 3 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 4h 37m | 110 | 138 | 509 |
| Day 2 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 2h 39m | 108 | 137 | 287 |
| Day 1 - Banjo-Kazooie Speedruns - Any% No-FFM | Banjo-Kazooie | 3h 30m | 82.9 | 96 | 291 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 36 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 8h 33m | 164 | 250 | 1,403 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 35 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 4h 30m | 136 | 179 | 614 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 34 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 2h 11m | 118 | 141 | 258 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 33 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 3h 53m | 111 | 134 | 434 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 32 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 2h 59m | 112 | 142 | 336 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 31 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 3h 34m | 108 | 130 | 389 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 30 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 3h 57m | 141 | 173 | 559 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 29 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 5h 5m | 133 | 162 | 680 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 28 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 3h 35m | 105 | 133 | 377 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 27 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 5h 27m | 138 | 182 | 752 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 26 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 2h 29m | 144 | 185 | 360 |
| [WR ATTEMPTS] Banjo-Kazooie Recompiled Speedruns - Day 25 - 100% FFM, No Note Saving - !BKR | Banjo-Kazooie | 2h 17m | 124 | 154 | 285 |
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.
