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How much does MTB Project earn?

Android app from Adventure Projects · Sports

ML forecast ★ 4.2 · 3K Free

~715/mo

ML revenue forecast. Calibrated against 24961 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.

MTB Project screenshot 1 MTB Project screenshot 2 MTB Project screenshot 3 MTB Project screenshot 4

MTB Project's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where MTB Project sits in Sports

Revenue distribution of 24961 comparable apps. MTB Project highlighted.

MTB Project vs comparable apps

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

App spec

Version
25.4.0
Last update
May 13, 2025
Launched
Apr 30, 2013
Price
Free
Monetization
Free

What MTB Project actually does (from store listing)

MTB Project is your comprehensive guide to the trails you want to ride, wherever you are. With the thoroughness of a printed map, we offer full GPS route info, elevation profiles, interactive features, photos, and more. Like a guidebook, we suggest the best featured rides to explore—either near your current location or in an area you search for. Local experts show you the highlights, challenging features, and insights you need to plan a great ride. • Find more than 77,000 miles of trail t…
Read full description →

Comparable Android apps

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

AppRevenueRatingRatings
GHIN icon GHIN 715 ★ 3.8 8K
Fantasy Football Draft Kit UDK icon Fantasy Football Draft Kit UDK 715 ★ 4.9 7K
SV Werder Bremen icon SV Werder Bremen 715 ★ 5.0 3K
Archery Go : Shooting Games icon Archery Go : Shooting Games 713 ★ 4.8 4K
Wonna: AI Football Predictions icon Wonna: AI Football Predictions 713 ★ 4.1 3K
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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 MTB Project's tracker page for current rating, reviews and snapshot timeline.

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