Research answer
What AppTrendKit can say about Parchisi STAR today
Parchisi STAR 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
- 1.325.1
- Released
- Mar 9, 2017
- Last updated
- Aug 31, 2026
- Content rating
- 4+
- Default storefront
- KR
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
Parchisi Star is an online multiplayer version of popular classic Parchisi. Parchisi (Parchis) is a popular board game in Spain and known by different name in other countries. It is a board game of the Cross and Circle family. It is an adaptation of the Indian game Pachisi or Parchisi or Ludo Features - It is totally FREE to play - 2 or 4 player Parchisi board game - Chat and send Emoji while you play the game - Designed for Tablet & Phone - Daily Magic Chest. Open to win up to 50K Coins every day - Unlock achievements while you play this amazing game Parchisi game is played with two dice, four pieces per player and a board with a track around the outside, four corner spaces and four home paths leading to a central end space. The most popular parchisi boards in America have 68 spaces around the edge of the board, 12 of which are darkened safe spaces. Each corner of the board contains one player's nest, or starting area. If you are free and want to spend quality time then Parchisi STAR is here for you. We all have played this in our childhood. So here we are offering you once again your childhood. So that you can live that moment again. Parchisi game was once played by Kings and is now enjoyed by you. Be Parchisi King! Enjoy Parchisi Online now as Parchisi STAR! Privacy Policy: https://gameberrylabs.com/privacy Terms of Service: https://gameberrylabs.com/tos
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 11:21 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, 11:48 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology