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Crazy Lunch icon

How much does Crazy Lunch earn?

Android app from Sigma Team Inc. · Casual

ML forecast ★ 2.0 · 443 Free

~410/mo

ML revenue forecast. Calibrated against 26282 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

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

Crazy Lunch screenshot 1 Crazy Lunch screenshot 2 Crazy Lunch screenshot 3 Crazy Lunch screenshot 4

Crazy Lunch's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Crazy Lunch sits in Casual

Revenue distribution of 26282 comparable apps. Crazy Lunch highlighted.

Crazy Lunch vs comparable apps

Revenue trajectory side-by-side. Bold = Crazy Lunch, ghosted = peers.

App spec

Version
1.0.4
Last update
Apr 06, 2016
Launched
Feb 12, 2014
Price
Free
Monetization
Free

What Crazy Lunch actually does (from store listing)

It's a long on enjoyment! Your lunch disappeared? You suspect your colleagues? The problem is that little strange creatures appeared on your desk. You will have a lot of fun trying to get rid of them. In this game you will get: • Play absolutely for FREE, no in-app purchases. • Two game modes • Don’t let monsters to steal your lunch! Stop attacks of creatures on your desktop. • Find identical objects! Monsters hide your lunch behind their backs. You need to find identical …
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Comparable Android apps

The five apps in Casual with the closest revenue to Crazy Lunch. Click any to see its detail page.

AppRevenueRatingRatings
Escape from GirlsRoom icon Escape from GirlsRoom 410 0
Passion - erotic couple game icon Passion - erotic couple game 410 ★ 3.6 813
Meme Soundboard 2025 icon Meme Soundboard 2025 410 ★ 4.5 4K
Trivex Trail: Pattern Forge icon Trivex Trail: Pattern Forge 409 ★ 4.2 628
Baby kitchen game Burger Chef icon Baby kitchen game Burger Chef 410 ★ 4.0 1K
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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 Crazy Lunch's tracker page for current rating, reviews and snapshot timeline.

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