Why Do Streamer Scores Matter?
When major Twitch streamers played Omoggle in May 2026, their live scores gave the community the first large-scale real-world data on how the AI rates actual people. More importantly, the viral clips drove millions of new users to the platform and shaped how people interpret PSL scores in practice.
Streamer Score Table
| Streamer | Avg Score | Tier | Win Rate | Notable Moment |
|---|---|---|---|---|
| Clavicular | 6.8–7.2 | Chadlite | ~62% | Viral ragequit |
| Jynxzi | 6.5–7.0 | HTN–Chadlite | ~58% | Strong symmetry noted |
| Asmongold | 6.0–6.4 | HTN | ~50% | Lost to female by 0.2 |
| xQc | 5.2–5.8 | MTN | ~35% | "You might be chopped" |
| Stable Ronaldo | 5.8–6.2 | MTN–HTN | ~48% | Mogged by Jasontheween |
| Jasontheween | 5.9–6.4 | MTN–HTN | ~50% | Lost to A2Guapo by 0.1 |
What the Streamer Data Tells Us
Most streamers land in MTN–HTN range
The data confirms that the 5.0–7.0 range is where most real, recognizable faces land on Omoggle's AI. The top tiers (Chadlite and above) are genuinely rare even among people who take their appearance seriously.
Setup matters, even for streamers
Clavicular — who actively studies looksmaxxing — scores measurably higher than streamers like xQc whose setups aren't optimized for AI face scoring. As our camera setup guide shows, the right configuration adds measurable points regardless of genetics.
Win rate doesn't always match average score
Asmongold's ~50% win rate with a 6.0–6.4 average suggests he's playing against a reasonably even opponent pool. xQc's lower win rate despite an MTN score suggests his particular session pool was tougher, or his session-to-session consistency was poor due to setup issues.
Wondering where you'd land compared to these streamers? Use our free AI Face Analyzer for an instant estimate.