Analyzed automatically. Assessed 2026-10-04 from 438 user reviews, the app's package, the store listing and its privacy label.
We cannot tell which version of the app this analysis describes. It was run 2026-10-04 , and the app may have changed since.
The store currently lists version 1.45.1, updated 2026-09-04.
What the analysis found
The catch list 2
Charges we publish at a strength we stand behind: measured from an artefact, agreed by independent sources, or reported by enough users to clear that charge's own published bar.
Positive evidence 1
Things this app does right, published at the same strengths as the catch list.
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.
Aggressive ad load
it looked like it would be a cool game... if you could actually play it for more than one round without constant ads... responds to the response: having ends to support the game is completely understandable. just like I understand the…
impossible to play ads after literally every single level. then they use the scapegoat excuse if oh it makes the game free. not an ad after literally every section. there is no immersion and players aren't going to stay for an ad app…
This is an ad with a game on it. there is an ad every level, and every level takes 10-20 seconds to complete. You will spend more time watching ads than actually playing. game is redundant, no variance or difficulty, it would've been more…
What this app sells
How the automated analysis works
This assessment is produced automatically. Six independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the app manifest, 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.