M.U.D. Rally
Research answer
What AppTrendKit can say about M.U.D. Rally today
M.U.D. Rally 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
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 7D
PartialNot enough data yet
Not enough data yet to show an estimate
Estimated App Store gross consumer spend · 7D
PartialNot enough data yet
Not enough data yet to show an estimate
Rank history
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 · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
- Revenue range · 7D
- Under $5K
- Share
- 100.0%
- Downloads range · 7D
- Under 5K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
| Storefront | Revenue range · 7D | Share | Downloads range · 7D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| United KingdomGB | Under $5K | 100.0% | Under 5K | — | 14% · partial | Low | Sep 28, 2026 |
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 3.1.0
- Released
- Jan 20, 2017
- Last updated
- Feb 21, 2022
- Content rating
- —
- Default storefront
- GB
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
If you are looking for REAL mobile rally simulation, than you are in the right place. Race at 60 fps in mud, snow, dirt and asphalt in this fast-paced racing game. AMAZING ACTION! Prove yourself fast in daytime and nighttime tracks, dare to speed in hostile conditions and terrain, drift along the turns and pay attention to your co-driver's pacenotes (Or he will get mad, we can assure it!). DRIVE ON REAL-WORLD TRACKS! Drive on awesome tracks: they are all modeled around existing and famous rally tracks, feel every little road's roughness, run on the edge of a pitfall, feel the breeze of the Alps' snow and the heat of the Mexico sun! AMAZING CARS! Customize the driver's name and the name of your co-pilot together with their country flags and stick them on your car's window! Get your livery dirty while trying to nail that turn, chose among a lot of different cars, each with its handling and performance! TAKE THE LEAD! Chose among two different championships: J-SPEC for beginners and S-SPEC for legendary drivers! Will you get to top?? CHALLENGE THE WORLD! Smash the leaderboards and show the world you are the fastest rally driver around... or show to them right on track: with multiplayer mode you can challenge a friend or players from all over the world! Get M.U.D. Rally now, join the Rally!
Publisher websiteStore creative
Screenshots
No screenshots available.
Competitive set
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 7, 2026, 9:30 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: public-signal-ensemble-v6.
Confidence: Low; intervals widen when evidence or history is limited.
Last updated: Sep 28, 2026, 4:51 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology