FaceRating.ai Data Study
What's the Average Face Rating Score? We Analyzed 23,714 Faces
Based on 23,714 real analyses · November 2025 – July 2026 · Published July 5, 2026
Key findings
- • The average AI face rating is 5.96/10 (median 5.3).
- • Only 24% of people score above a 7, and just 0.4% score 9 or higher.
- • The single most common range is 5.0–5.9 (41% of everyone analyzed).
- • Eyes are the highest-scoring feature on average (6.32); the nose is the lowest (5.74).
- • Real faces hit only 78.3% golden-ratio compliance on average — the "perfect" ratio is almost never reached.
"What's a good face rating score?" is one of the most common questions people ask after using an AI face analyzer — and until now, most answers have been guesses. We looked at the actual data: 23,714 completed face-rating analyses from real users of FaceRating.ai, scored by the same AI model on the same 1–10 scale. Here's what the numbers actually say.
One thing to be clear about up front: these are the model's scores, not an objective verdict on anyone's worth. Attractiveness is subjective and cultural. But because every analysis uses the same model and the same scale, the distribution is a consistent, honest look at how the tool scores real people — which is exactly what you need to interpret your own result.
The full score distribution
Scores cluster hard in the middle. More than 4 in 10 people land in the 5.0–5.9 range, and the high end is genuinely rare — fewer than 1 in 200 analyses reach a 9.
Share of 23,714 analyses in each score band.
What your score actually means
Because the scale bunches up in the middle, small score differences map to big percentile jumps. Here's where each score places you among everyone analyzed:
| If you scored… | You're roughly in the… |
|---|---|
| 5.0 or higher | top 80% |
| 6.0 or higher | top 39% |
| 7.0 or higher | top 24% |
| 8.0 or higher | top 8% |
| 9.0 or higher | top 0.4% |
So a 7 isn't average — it's genuinely top-quartile. And the jump from 7 to 8 moves you from the top 24% to the top 8%.
Everyone has room to improve
Alongside each current score, the model estimates a "potential" score — where someone could realistically land by improving the things they can control (grooming, skin, hair, styling). Across all 23,714 analyses, the average potential score is 7.24/10, an average gap of +1.28 points above the current score. Most of that gap lives in the most improvable features — which brings us to the feature breakdown.
Which features score highest — and lowest
Averaged across everyone, eyes and eyebrows score highest, while skin and nose score lowest. That's encouraging: the weakest-scoring areas (skin especially) are also the most improvable without anything drastic.
Mean feature score (0–10) across all analyses.
The golden ratio is (mostly) a myth
The "golden ratio" (1.618) is often sold as the secret formula of a perfect face. In the data, real faces reach only 78.3% compliance with golden-ratio proportions on average, and even the highest-scoring faces top out around 96%. Facial symmetry tells the same story: the average symmetry score is 6.03/10, and only 13.2% of people score 8 or above. Near-perfect symmetry is the exception, not the standard — which is worth remembering the next time an app implies you're falling short of an "ideal."
The most common face shapes
Share of analyses by detected face shape.
Oval and oblong dominate, together making up around 86% of faces. Face shape drives a lot of practical advice — which is why our hairstyle recommendations are matched to it.
Methodology
This study aggregates 23,714 completed face-rating analyses performed on FaceRating.ai between November 2025 – July 2026. Each analysis is produced by the same AI vision model on a consistent 1–10 scale, with feature-level sub-scores, a golden-ratio compliance estimate, and a detected face shape. All figures are aggregate and anonymized — no individual results, images, or personal data are included or identifiable. Scores reflect the model's assessment and are not an objective measure of attractiveness, which is inherently subjective. Percentile figures are the share of analyses at or above each score.