Hugo Troll Race Classic
Research answer
What AppTrendKit can say about Hugo Troll Race Classic today
Hugo Troll Race Classic 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 intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed 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
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.9.8
- Released
- Jul 10, 2012
- Last updated
- Aug 7, 2025
- Content rating
- 4+
- Default storefront
- IL
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
Hugo Troll Race Classic – The Legendary TV Game Show is Back! Over 10 million downloads – now relaunched with a nostalgic twist! The world’s most famous troll, Hugo, is back – and this time, it’s personal. Based on the iconic Hugo TV game show from the '90s that thrilled over 400 million viewers every week, this app brings back the legendary train track adventure – now reimagined with stunning 3D graphics and enhanced gameplay! If you grew up shouting at the TV to help Hugo dodge trains and escape the evil witch Scylla, you’ll feel right at home. This relaunch of the original hit mobile game pays tribute to the classic experience – fast-paced, addictive, and filled with that signature Hugo charm. Relive the Show. Replay the Adventure. - Classic Hugo TV track – now in your pocket - Jump, dodge, and tilt your way past deadly obstacles and speeding trains - Escape Scylla and her henchmen Don Croco and Mexi Croco - Master intuitive swipe and tilt controls - Collect gold, unlock upgrades, and pimp your trolley in the workshop - Spin the Wheel of Fortune – just like the TV show! - Take on 10 exciting achievements and compete with friends via Game Center - Gorgeous 3D visuals and tons of new features to discover - Rebuilt for the modern player – same great gameplay, bigger thrills! Whether you’re a longtime Hugo fan or new to the troll’s wild ride, Hugo Troll Race Classic is your ticket back to one of gaming’s most beloved adventures. Get ready to shout “GO HUGO!” one more time. The chase is on!
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 9:07 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: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 9:07 PM.
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Open methodology