What’s the catch? Nothing we could corroborate against this app.
Analyzed automatically from 3 independent signals that had to agree — not a hands-on test, and not human-reviewed.
This analysis describes version 20.2.10 of the app, analyzed 2026-10-05 . The app may have changed since.
The store currently lists version 20.3.1, updated 2026-10-05.
The app has been updated since this analysis. The findings on this page describe version 20.2.10, not the version now listed on the store.
Release notes for the newer versions, in the developer’s own words:
Version 20.3.1 · 2026-10-05
Bug fixes and performance improvements.
What the analysis found
Context 1
Measured and published because a reader would want to know — deliberately not a charge. The measurement alone does not show a harm.
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.
Aggressive ad load
Brutal effort in futility! — decade of daily play will get you no closer to success/progress than day 1. Forced team events, forced ads that are throttled and full of glitched, rigged events, and complete disregard for feedback/ known…
Ads — To many ads but still fun
fun but too many ads — fun game but now its just filled w ads, every other action results in an ad and its very annoying and makes it hard to enjoy the game
Pay to progress
Money grab/ pay to win — They completely changed the platform to pay to win. The only way to progress and develop any type characters is to pay for gems. They vastly reduced the in game challenges to earn gems while promoting the watching…
Monster legends is good but money hungry — Stop being pay to win when you’re genuinely a good game outside of that
Good game — It’s a good game, very easy if P2W but will be Hard when not P2W.
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.