XSlabbyX Twitch stats
God First. I play Apex.
Tracked since . Profile details synced .
- Tracked streams
- 26
- Highest tracked viewers
- 54.2K
Stream history
Showing 1–25 of 36 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
- 10
- Hours streamed
- 43
- 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 |
|---|---|---|---|---|---|
| #1 PRED trillionaire playing wit da homiesPartial data | Apex Legends | 6h 22m | 41.3 | 51 | 263 |
| #1 PRED trillionaire playing wit da homiesPartial data | Apex Legends | 6h 59m | 51.8 | 66 | 362 |
| #1 PRED playing wit da homies | Apex Legends | 6h 6m | 49.9 | 78 | 305 |
| #1 PRED playing wit da homies | Apex Legends | 8h 23m | 38.1 | 65 | 320 |
| #1 PRED playing wit da homies | Apex Legends | 9h 44m | 34.8 | 74 | 340 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 29Partial data | Apex Legends | 8h | 57.8 | 74 | 463 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 28 | Apex Legends | 11h 30m | 39.3 | 73 | 452 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 26Partial data | Apex Legends | 12h 29m | 47.1 | 77 | 588 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 25Partial data | Apex Legends | 12h 31m | 53.7 | 68 | 673 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 22Partial data | Apex Legends | 10h 11m | 38.3 | 58 | 390 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 21 | Apex Legends | 8h 4m | 3,201 | 54,176 | 25.8K |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 20Partial data | Apex Legends | 8h 18m | 46.9 | 63 | 390 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 10Partial data | Apex Legends | 10h 31m | 50.6 | 67 | 533 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 18 | Apex Legends | 9h 46m | 54.7 | 69 | 534 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 17Partial data | Apex Legends | 10h 10m | 54.5 | 66 | 555 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 16Partial data | Apex Legends | 13h 29m | 57.7 | 74 | 778 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 15Partial data | Apex Legends | 8h 18m | 60.6 | 71 | 504 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 13Partial data | Apex Legends | 8h 15m | 50.1 | 62 | 414 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 11Partial data | Apex Legends | 9h 29m | 40.8 | 61 | 387 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 10Partial data | Apex Legends | 8h 6m | 45.6 | 64 | 370 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 7Partial data | Apex Legends | 8h 14m | 49.0 | 62 | 404 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 5 | Apex Legends | 8h 8m | 41.5 | 92 | 338 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 4Partial data | Apex Legends | 8h 23m | 58.7 | 71 | 492 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 3Partial data | Apex Legends | 9h 27m | 57.8 | 75 | 547 |
| #1 PRED playing wit da homies (8 hours everyday for the next month on God) Day 2Partial data | Apex Legends | 8h 1m | 58.7 | 76 | 471 |
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.
