We analyzed this app across 3 independent signals and corroborated nothing unfair. That is a signal, not an audit.
This analysis describes version 1.3.1 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 1.3.1, updated 2026-10-02.
What the analysis found
One source only — shown, not confirmed 2
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Reports that the ads misrepresent the app
Not as advertised — It’s not bad, but the gameplay the ad showed is only available after you play multiple levels of something kinda similar. Those other levels are decent, but it would’ve been better knowing that that’s how the game was…
False advertising — Not at all the game that was advertised.
The game is nothing like the ads — This game is identical to so many others. The ads hyping this game on the other hand portray a unique, and much more interesting game.
Aggressive ad load
Ads upon ads and then more ads — Countless reviews about too many ads … and yet there just continues to be more and more ads. After a level. In the middle of a level. At the bottom of the screen. Any time you leave the game (such as to…
Too many ADS — I really love the action of this game, but they’re falling into the trap that so many other game makers fall into… way too many ads and add between every single level) and too expensive to remove ads. Once upon a time, it…
Fun but…. — Too many ads
How the automated analysis works
This assessment is produced automatically. Three independent signals are read — user reviews, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.