What’s the catch? Aggressive ad load — reported by 40 users.
Analyzed automatically from 3 independent signals that had to agree — not a hands-on test, and not human-reviewed.
This analysis describes version 1.7.3 of the app, analyzed 2026-10-05 . The app may have changed since.
The store currently lists version 1.7.3, updated 2026-09-15.
What the analysis found
The catch list 1
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.
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
Best game — The best game I have on mobile there is a lot of adds but no adds is cheap. I play this with my friend and he loves it and I heard there is a 2 but I’m not sure if that is true
I RATED IT FIVE TO GET TO TOO READ THIS ⚠️⚠️⚠️⚠️⚠️ — I RATED IT FIVE TO GET TO THE TOP THIS GAME IS SOO BAD THERES TO MANY ADS AND ITS WAY TOO EASY AND NEVER GETS HARDER DONT BET THIS GNAE UNLESS TO WASTER STORAGE DO T GET IT ITS SO BAD
Fun…but….. — Fun game! Waaayyyyy too many ads. More than I’ve seen on other games by far. To the point where I had to stop playing it because it made me watch an ad every 3-4 attempts (which go quickly). This could easily be improved on…
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 It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an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.