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How much does SouzaSim Project earn?

Android app from OE Games (Solo Dev) · Racing

ML forecast ★ 3.4 · 26K → Stable Free

~1.1K/mo

ML revenue forecast. Calibrated against 6486 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.

SouzaSim Project screenshot 1 SouzaSim Project screenshot 2 SouzaSim Project screenshot 3 SouzaSim Project screenshot 4

SouzaSim Project's revenue trajectory

Forecast revenue from snapshot history. Last 3 months.

Where SouzaSim Project sits in Racing

Revenue distribution of 6486 comparable apps. SouzaSim Project highlighted.

SouzaSim Project vs comparable apps

Revenue trajectory side-by-side. Bold = SouzaSim Project, ghosted = peers.

App spec

Version
8.7.13
Last update
May 23, 2026
Launched
Feb 24, 2019
Price
Free
Monetization
Free

What SouzaSim Project actually does (from store listing)

SouzaSim Project is a recreation of the original SouzaSim idea of the game. SouzaSim is all about tuning: change the exhaust, rims, headlights, lower your bike by configuring the suspension and much more. Almost every part of your bike is customizable. You can also choose the color of the parts to fit your style. Deep dirt and tarmac physics to get the best possible experience riding a bike, realistic sound and engine behavior! (This game is still under developing and might have bugs, m…
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Comparable Android apps

The five apps in Racing with the closest revenue to SouzaSim Project. Click any to see its detail page.

AppRevenueRatingRatings
Car Racing On Impossible Track icon Car Racing On Impossible Track 1.1K ★ 4.1 12K
Real Moto Bike Racing Game icon Real Moto Bike Racing Game 1.1K ★ 4.1 12K
Monster Truck Xtreme Racing icon Monster Truck Xtreme Racing 1.1K ★ 4.4 13K
Ultimate R1 icon Ultimate R1 1.1K ★ 3.8 12K
ReCharge RC icon ReCharge RC 1.1K ★ 4.0 13K
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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 SouzaSim Project's tracker page for current rating, reviews and snapshot timeline.

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