What the 1 to 10 scale is grounded in
The 1 to 10 scale on this page is the academic-style face-rating distribution familiar from facial-attractiveness research papers, where rater panels score photographs on a 1-to-10 (or sometimes 1-to-7) Likert scale and inter-rater agreement is measured statistically. The most cited synthesis is Langlois, Kalakanis, Rubenstein, Larson, Hallam, and Smoot (2000), a meta-analysis of 919 effect sizes confirming that attractiveness ratings are reliable across raters within and across cultures — establishing that attractiveness is not "all subjective" in the way the colloquial defence assumes.
The site's 1 to 10 band is computed mechanically: the underlying 0 to 100 composite is calculated from 17 landmark-based structural metrics and divided by 10 to produce a Likert-style face rating compatible with how the academic literature reports it. The structural inputs are anchored against published anthropometry data, including Farkas's normative measurements (Farkas 1994), and the inter-metric weighting draws on Hönekopp's quantitative work on the relative contributions of symmetry, averageness, and sexual dimorphism to perceived attractiveness (Hönekopp 2006; Hönekopp et al. 2007).
The bands below describe each tier in terms of the structural patterns that typically produce that rating in a rater-panel study: which metrics tend to be near the population mean, which tend to deviate in attractive-coded directions, and which tend to be flagged as drag metrics. This is the academic / clinical framing of the 1 to 10 scale. If you want the looksmax-community version of the same percentile distribution (sub5, LTN, MTN, HTN, Chadlite, Chad, Gigachad), the PSL chart page covers that translation explicitly.
The reference table
1 to 2 — Below typical baseline
Below 5th percentileStructural markers: Significant facial asymmetry (visible at 2 meters), severe acne or scarring, structural anomaly that disrupts the 17-metric baseline, or any combination of three or more flagged metrics below the 5th percentile.
Highest-leverage move: Soft-tissue and grooming levers will move this band into the 3 to 4 band quickly. Structural concerns warrant a board-certified consultation before any DIY work.
3 to 4 — Below average
5th to 30th percentileStructural markers: Two or three flagged metrics below the 25th percentile. Most commonly: skin texture, expression default, posture, jawline definition. The structural baseline is fine; the soft-tissue and expression layers are under-presented.
Highest-leverage move: This is the band with the largest available gains. Twelve weeks of consistent skincare plus posture and expression practice typically moves users into the 5 to 6 band. No structural intervention required.
5 — Average
30th to 55th percentileStructural markers: No metrics strongly flagged in either direction. Baseline skin, baseline expression, baseline structure. The face reads as neither distinctive nor disharmonious.
Highest-leverage move: Moving from 5 to 6 is typically a body composition lever (lower visceral fat reveals jawline) or a current haircut and grooming refresh. Moving from 5 to 7 takes 6 to 12 months of consistent work on multiple levers.
6 — Above average
55th to 75th percentileStructural markers: One or two metrics in the 75th percentile or higher (often eye region, skin clarity, or jawline). The rest at baseline. The face reads positively in good lighting and average angles.
Highest-leverage move: Moving from 6 to 7 typically requires identifying and removing one specific drag metric (often skin texture, posture default, or under-styled hair). The paid report identifies it. From there it is targeted work, not generalized advice.
7 — Strong
75th to 90th percentileStructural markers: Multiple metrics in the 75th to 90th percentile range. Often: positive canthal tilt, strong jawline ratio, balanced facial thirds, clear skin, Duchenne-default expression. The face reads positively across lighting conditions and angles.
Highest-leverage move: Moving from 7 to 8 typically requires structural assets that are largely set by the late twenties. Body composition, photography skill, and expression refinement carry the remaining gains. Most users plateau here without diminishing returns being a bad thing.
8 — Very strong
90th to 97th percentileStructural markers: Multiple metrics in the 90th percentile or higher. Strong structural baseline (gonial angle, FWHR, midface volume, canthal tilt all favorable), excellent soft-tissue (clear skin, controlled expression), and habitual photo competence.
Highest-leverage move: Maintenance band. Sleep, skin, body composition, and recovery sustain this band. Drift downward is more likely from neglect than upward from effort. The improvement plan in this band is a maintenance protocol, not a gain plan.
9 to 10 — Exceptional
Top 3rd percentileStructural markers: Structural assets across the board, consistent across multiple photos and lighting conditions, plus expression and presentation that compound the structural baseline. Rare. Often appears in casting, modeling, or specific genetic clusters.
Highest-leverage move: No improvement plan in the looksmaxxing sense. Maintenance protocols (sleep, skin, body composition) and photography skill carry the entire upside in this band. Structural intervention is almost always a net negative at this level.
How rater-panel methodology maps onto a single user
- Mimic the rater-panel photo conditions used in attractiveness-research studies: neutral expression, frontal pose, hair off the forehead, no glasses, even diffuse lighting at face height. Most published attractiveness research deliberately removes the variables that move ratings without changing the underlying face (makeup, accessories, hair styling, dramatic lighting) so you should too when running this kind of measurement on yourself.
- Take three independent captures (different sessions, similar conditions). The published face-rating literature treats single-photo ratings as noisy and recommends multi-photo aggregation; running the composite on three captures and taking the median replicates that practice for a sample of one.
- Treat your median 0-to-100 composite as the structural estimate, then read off the 1-to-10 band. The Likert band is what would round-trip into a published attractiveness study; the 0-to-100 number is the higher-resolution measurement you should track over time.
- If you want a clinical-style reproducibility check, repeat steps 1 and 2 a week later. A reading stable within roughly 2 points across the two sessions implies your structural baseline is being measured consistently. A wider swing implies your capture conditions are doing the talking and the photos need standardizing before the score is informative.
- Compare against the published age-and-sex-banded distribution rather than against the absolute 1-to-10 number alone. The Langlois meta-analysis and successor literature consistently report that attractiveness ratings are interpretable in age-and-sex context; an "objective" 6/10 on a 22-year-old means something different from a 6/10 on a 52-year-old.
Construct limits the academic literature already acknowledges
- A rater-panel attractiveness score measures perceived first-impression appeal in a controlled photograph, not "attractiveness" as a global construct. The construct-validity caveats in Langlois et al. (2000) and Hönekopp (2006) apply: the rating predicts certain first-impression outcomes well and other social outcomes poorly.
- Symmetry, averageness, and dimorphism are the three structural drivers the literature consistently isolates (Rhodes 2006, Annual Review of Psychology). They are necessary but not sufficient — a face that scores high on all three but is photographed badly will rate lower than its structural baseline would predict.
- Inter-rater agreement is high in aggregate but individual raters disagree non-trivially. A 6.8 mean rating across 30 raters can hide a 4-to-9 spread; the band is a population-level summary, not a guarantee any specific viewer will react that way.
- Cross-cultural validity is high for facial-symmetry and averageness preferences and weaker for specific dimorphism preferences (Cunningham et al. 1995). The chart bands describe structural pattern; absolute preference weights drift modestly across cultural contexts.
- The chart is descriptive of where the face sits in the published distribution; it is not a prescription for any cosmetic or behavioural change. The structural-only framing is deliberately separated from clinical or community recommendation.
PSL scale vs a validated percentile — what "PSL-calibrated" actually means
The PSL scale is the looksmax-community relabeling of the same 1-to-10 distribution this page describes — sub5, LTN, MTN, HTN, Chadlite, Chad are percentile bands with forum names (the PSL chart page maps them one-to-one). A wave of 2026 rating apps now markets "PSL-calibrated" scoring. Read that phrase precisely: it means the app's output is tuned to agree with forum vocabulary, not that it was checked against how real people rate real faces. Calibration to a naming convention is not validation.
A validated score means the number was tested against human raters and the agreement was published. RealSmile's Face Score is cross-validated at r ≈ 0.8 against 5,500 human-rated faces (SCUT-FBP5500, 60 raters per face) — and we publish the failure too: our own earlier 17-metric geometry composite correlated at r ≈ −0.33 and was demoted to a measurement map. No "PSL-calibrated" app we have reviewed publishes either number. If you want your PSL tier, take the validated percentile and read the band off the chart — same distribution, honest number first.
Face rating scale FAQ
Why use a 1 to 10 scale instead of a 0 to 100 scale?+
What does a 7 out of 10 actually look like?+
Is the scoring objective or subjective?+
Can I really move from a 5 to a 7?+
Are the score bands biased toward Western features?+
How accurate is the score?+
What is the relationship between the score and dating outcomes?+
Is the test free?+
Free score is the headline. Full report is the plan.
Find out which band you sit in and what to do next.
The $14.99 Looksmax Report identifies your band, names the two metrics that are dragging you below it, and writes a 12-week improvement plan targeted at your specific weak metrics. One-time price — no subscription required.
Get your face rating now
Free, instant, private. Both the 0 to 100 composite and the 1 to 10 band, with the structural markers behind your specific score.
17 metrics · NIH-cited landmarks · Photos auto-deleted