ごいた is published by PUZZLING, launched on Apr 28, 2015.

Where does ごいた rank in its category?

ごいた ranks #3413 of 5756 apps in Card, putting it in the top 59.3% by revenue.

How much does ごいた earn?

Q: How much does ごいた earn?

ごいた earns approximately 206 per month based on bumetric's ML revenue forecast, calibrated against 5756 comparable Android apps in Card.

Android app from PUZZLING · Card

ML forecast Free

~206/mo

ML revenue forecast. Calibrated against 5756 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Tracks close to the Android app category median (254/mo).
Ranks #3,413 of 5,756 in Card (top 59.3% by revenue).
Launched Apr 28, 2015 · last updated Dec 07, 2023.

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

ごいた's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where ごいた sits in Card

Revenue distribution of 5756 comparable apps. ごいた highlighted.

ごいた vs comparable apps

Revenue trajectory side-by-side. Bold = ごいた, ghosted = peers.

App spec

Version

Varies with device

Last update

Dec 07, 2023

Launched

Apr 28, 2015

Price

Free

Monetization

Free

What ごいた actually does (from store listing)

　1900年頃に生まれたとされる伝統的なゲームでありながら、シンプルかつ奥深い駆け引きの要素をもった傑作ゲーム「ごいた」をアプリ化いたしました。　ごいたは４人が二人ずつ２組のペアになり、ペアの合計得点を競うゲームです。全３２枚のカードを誰がどのカードを持っているかを読み合いながら、自らのカードを全て場に出すことを目指します。時には自らがカードを使い切るよりも、味方をサポートし、パートナーとの連携を計る、といったようなペア戦ならではの駆け引きもあり、多様なゲームが存在する現代においてなお、多くの人を惹きつけてやまない魅力的なゲームとなっています。　石川県能登町宇出津地区に伝わるこの「ごいた」ゲーム、新幹線の開通にわく北陸への旅のお供にでも、是非一度お試しいただければと思います。　原作者：布浦清右衛門 (ぬのうらせいようもん)　　カード版制作：ピグフォン

Comparable Android apps

The five apps in Card with the closest revenue to ごいた. Click any to see its detail page.

App	Revenue	Rating	Ratings
적패청산 맞고 : 대한민국 고스톱	206	—	0
撲克●九九	205	—	0
Mindi Coat	206	—	0
Klondike	206	★ 2.4	76
Classic Solitaire	207	★ 4.6	89

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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on ごいた's tracker page for current rating, reviews and snapshot timeline.

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