Score Band Reference

Face rating scale explained

RealSmile Research Team · Facial Analysis Specialists
Updated May 16, 2026
Based on 5 peer-reviewed sources
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What does a 7/10 face actually look like? A reference table of every score band, the structural markers behind each tier, and how to measure your own.

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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 2Below typical baseline

Below 5th percentile

Structural 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 4Below average

5th to 30th percentile

Structural 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.

5Average

30th to 55th percentile

Structural 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.

6Above average

55th to 75th percentile

Structural 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.

7Strong

75th to 90th percentile

Structural 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.

8Very strong

90th to 97th percentile

Structural 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 10Exceptional

Top 3rd percentile

Structural 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

  1. 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.
  2. 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.
  3. 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.
  4. If you want a clinical-style reproducibility check, repeat steps 1 and 2 a week later. A median composite 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.
  5. 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

Face rating scale FAQ

Why use a 1 to 10 scale instead of a 0 to 100 scale?+
They are the same scale. The 0 to 100 number is the underlying composite score from the 17-metric engine; the 1 to 10 scale is just the same number divided by 10 and rounded. Most users find the 1 to 10 bands easier to interpret because it maps onto how people actually talk about faces in everyday conversation. The free tool reports both numbers.
What does a 7 out of 10 actually look like?+
The 7 band sits in the 75th to 90th percentile against the published anthropometry norms. In practice it means multiple metrics in the 75th to 90th percentile range, often including a positive canthal tilt, a defined jawline, balanced facial thirds, clear skin, and a habitual Duchenne smile in photos. The face reads positively across lighting and angles, not just in flattering ones.
Is the scoring objective or subjective?+
The measurement layer is objective: 17 structural metrics calculated from a 68-landmark detection model, each compared to published anthropometry norms. The mapping from those metrics to a 0 to 100 composite uses published research on which metrics drive perceived attractiveness most strongly. The final 1 to 10 band is a human-readable summary of that composite. There is no human voting involved.
Can I really move from a 5 to a 7?+
Yes, typically over 6 to 12 months of consistent work on the right levers. The highest-leverage starting points are well-documented in dermatology and exercise-physiology research: consistent skincare with daily SPF for texture and tone, body-composition work for visible structural definition, and shifting your default photo expression toward a Duchenne smile (AU6 + AU12 — see Ekman and Friesen 1978). The paid report identifies which of those is your highest-leverage starting point for your specific composite — but we do not invent a guaranteed point gain we cannot defend.
Are the score bands biased toward Western features?+
The landmark geometry is universal. The published anthropometry norms aggregate across populations. The composite mapping uses cross-cultural research where available and notes its limits where it is not. The scale describes structural relationships rather than evaluating a specific cultural ideal. The improvement plan works with your face, not against it.
How accurate is the score?+
The 17-metric measurement is reproducible within 1 to 2 points across multiple photos of the same person in similar lighting. Lighting, angle, and expression cause more variance than measurement noise. We recommend running three photos (neutral light, smile, three-quarter angle) and using the median composite as your true score.
What is the relationship between the score and dating outcomes?+
Correlated but not deterministic. The score predicts first-impression perception in photos, which is a meaningful piece of dating-app outcomes specifically. Real-world dating outcomes depend on photo quality, app strategy, prompt and message quality, location, and a long list of other variables. A higher composite makes the photo layer easier; it does not bypass everything else.
Is the test free?+
Yes. The 0 to 100 composite score and the 1 to 10 band are free. The optional $14.99 Looksmax Report unlocks all 17 metric percentiles, identifies your two weakest, and writes a personalized improvement plan tailored to your starting band.

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.

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