Mogged vs Umax: Which Rating App Lies to You Less?

You've got both app pages open. Umax's screenshots are neon and loud — jawline score, masculinity score, "become hot." Mogged talks PSL, progress tracking, a coach in your pocket. Same face, same front camera, two apps promising to tell you the truth about it.

You're not really asking which is better. You're asking which one is going to lie to you less.

Direct answer: neither app has earned trust in the sense you care about — a stable, meaningful number — but they fail differently. Umax, per publicly available listings and user reviews at the time of writing, is the slicker gamified loop: weekly scores, subscription-gated reveals. Mogged positions itself as the tracker: PSL-convention breakdowns, coaching features, progress charts. Both read static facial geometry from one compressed selfie, and that shared ceiling matters more than anything that separates them.

What does each app actually do?

Per public listings and user reviews at the time of writing:

Umax scores your face on axes like jawline, cheekbones, skin, masculinity, and "potential," using 0–100-style numbers — its own house convention. It runs on a weekly subscription around $3.99, with no free trial listed, and reviews frequently cite the one-reveal-per-week cadence as a frustration. It's one of the most downloaded apps in the category, with listings and coverage citing 3.5M+ downloads.

Mogged offers a rating it labels PSL on a 0–8 scale (with a 0–10 toggle), feature-by-feature breakdowns across 10+ categories, a "glow-up plan," conversation coaching, AI-generated "after" previews, and progress tracking over time. Its tone is less arcade, more dashboard.

One meta-detail worth knowing: Mogged's own website publishes "Mogged vs Umax" comparison articles. Vendors grading their own homework isn't a scandal — it's marketing — but it's a good reason to weight independent user reviews over any comparison a competitor hosts, including the one an app shows you inside its own funnel.

Caveat: features and prices in this category change fast; everything above is per public listings at the time of writing, and either app may have shipped changes since.

Key numbers

• $3.99/week — Umax's subscription per its public App Store listing at the time of writing, full results gated behind it.
• 3.5M+ — downloads cited for Umax in public listings and coverage, the largest footprint in the category.
• 0–8 — the PSL scale range Mogged mirrors; PSL is a forum rating convention, not a validated instrument.
• ~100 milliseconds — how fast a real stranger forms a face judgment (Willis & Todorov, 2006); both apps attempt to simulate this read from frozen geometry.
• Eleven meta-analyses (Langlois et al., 2000) show human raters agree on attractiveness — agreement these apps borrow credibility from without demonstrating it themselves.

Which app's score is more stable?

Here's the test that matters more than any feature list — call it the Same-Photo Test: upload the same photo twice, or two frames taken seconds apart. If the number moves, the decimals are theater.

Per user reviews and forum discussion, both apps draw recurring complaints about exactly this: scores shifting between uploads, between lighting conditions, between a photo taken at arm's length and one taken a step back. We can't give you a precise variance figure — neither vendor publishes test-retest data, which is itself informative — but the complaint pattern is consistent across both.

The mechanism is the shared ceiling. Both models extract landmark geometry from a single static, compressed image. Change the camera distance and your nose-to-face ratio changes (lens distortion). Change the lighting and your jawline contrast changes. The model isn't lying, exactly — it's re-measuring a different shadow of the same face and reporting the wobble as if it were you. A number that can't survive two consecutive selfies can't referee your looks.

Photo by RDNE Stock project on Pexels

To be fair to both apps: no photo-based system fully escapes this, including ours — the honest difference is between products that acknowledge the noise and products that sell the decimals.

What's paywalled — and what does that do to the number?

Per listings at the time of writing: Umax gates full results behind the weekly subscription; Mogged is listed with in-app purchases layered over a free entry point, with deeper analysis and coaching in paid tiers.

Concede the obvious: paywalls aren't proof of dishonesty. Models cost money to run, and charging for software is legitimate. The problem is subtler — incentive gravity. An app billed weekly needs a reason for you to come back weekly, and the cheapest reason ever invented is a number that's low enough to sting, paired with a plan that promises movement. Reviews of both apps describe coaching that trends generic — skincare, jawline, sleep, the standard looksmaxxing playlist. None of it is harmful advice; little of it needed a subscription.

That incentive structure is worth naming when psychologists, per public coverage, have flagged face-rating apps' popularity with teenage boys as a mental-health concern. A score designed for retention is a score designed to keep you slightly dissatisfied. Be gentle with yourself about how these numbers land — chasing a decimal on a screen is appearance anxiety with a progress bar, and no app subscription treats that.

Which one should you pick?

Axis	Umax	Mogged
Scale	0–100-style house scores	PSL-convention 0–8 (0–10 toggle)
Pricing (per listings)	~$3.99/week subscription	Free entry + in-app purchases
Cadence	Weekly reveal loop	Score on demand + tracking
Tone	Gamified, arcade	Tracker, dashboard
Extras	Tips, potential score	Coaching, AI previews, progress charts
Shared ceiling	Static geometry from one selfie	Static geometry from one selfie

If you want the gamified loop and the biggest community footprint, and you're fine paying weekly for it, Umax is the polished version of that experience — its accuracy question is dissected in Umax score vs real life. If you want feature breakdowns, tracking, and a coaching layer, Mogged fits better — with the same skepticism applied in is Mogged accurate. The category-wide view, including LooksMax AI, lives in Umax vs LooksMax AI and our full looksmaxxing apps comparison.

And if you want the axis neither app measures: both grade your face at rest, as geometry. Neither estimates the thing that actually happens in the wild — the read a stranger forms in the first second of seeing you, the ~100 ms judgment the research describes. That's what our test is built to estimate, on a 70–155 perception axis, free with no paywall after upload. It's not a validated clinical instrument either — but it's honest about what it is, and it isn't priced to need you back next week.

The bottom line

Mogged vs Umax is a choice between two packagings of the same static-geometry read: Umax sells it as a weekly game behind a $3.99 subscription; Mogged sells it as a tracker with coaching on top. Run the Same-Photo Test before believing either number, read vendor-hosted comparisons for what they are, and remember the shared ceiling: one selfie, frozen geometry, wobbling decimals. Then get the number both apps skip — the first-second stranger read — with the free test, and spend the weekly fee on a haircut instead.

Studies referenced

• Willis, J., & Todorov, A. (2006). First impressions: Making up your mind after a 100-ms exposure to a face. Psychological Science, 17(7), 592–598.
• Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., & Smoot, M. (2000). Maxims or myths of beauty? A meta-analytic and theoretical review. Psychological Bulletin, 126(3), 390–423.