Research answer
What AppTrendKit can say about Train Sim: Cleaning Games ASMR today
Train Sim: Cleaning Games ASMR has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.3
- Released
- Jun 17, 2022
- Last updated
- Oct 19, 2023
- Content rating
- 4+
- Default storefront
- AU
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
Have you ever wondered about tidying up the train in cleaning games? Immerse yourself in the most relaxing & satisfying power-washing games of 2023. Experience the thrill & adventure in a train simulator in which you have to travel in a messy dirty train games. Either you have to do some deep cleaning of your train indoors or outdoors in the best Satisfying power washing game ever! Make your railroad train, a dream train of the railway station with e satisfying deep cleaning. Turn your old vehicle into a new train simulator by removing all dirt & stains in the girls cleaning game and make your railway station clean to be the idle tycoon of train games. Clean my carpet in the passenger lounge to satisfy your deep clean. Clean & tide up the various trains from the different eras. Experience the sensation of cleaning trains with true-to-life physics. Scrub, rinse, and dry the subways to see the satisfying results of your hard work. Put on your virtual overalls, grab your cleaning supplies, and embark on a train cleaning adventure like never before. Train Cleaning Simulator is a game that will make you see trains in a whole new light. Train Simulator - Cleaning Games feature: * Enjoy the Calming and soothing experience of dirty trains * Show your creativity with different cleaning tools * The best ASMR Games to satisfy your power wash cleaning games * New trains, railways & railroad on every station * Deep Clean fun cleanup comes with Stunning Graphics
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:04 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:04 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology



