Research answer
What AppTrendKit can say about GOLIATH today
GOLIATH 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 · 30D
Upper limitUnder 200K
Below the top 100 in Games (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
Estimated App Store gross consumer spend · 30D
Upper limitUnder $2M
Below the top 100 in Games (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
History
Collected daily performance
No daily history yet.
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 methodApp Store search
Keywords GOLIATH ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| military | #18 | new | 42 | 41 |
Storefront 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.
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
- 1.1.531
- Released
- Jan 5, 2024
- Last updated
- Apr 6, 2026
- Content rating
- 17+
- Default storefront
- US
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
"GOLIATH Actual, be advised... We need immediate close air support! Friendly ground forces have multiple enemy hostiles moving in hard & fast on their position, over." Take command of GOLIATH, an infamous AC 130 Spectre Gunship, also known as the "Angel of Death." Be advised... the enemy forces will throw everything they have at you to win the battle. Our only hope of bringing the friendly ground team back home alive is you and your air crew. Use your arsenal of heavy explosive ordnance and support units to hold off waves of enemy attacks. Featuring: - Highly addictive gameplay, you will be hooked. - Incredible graphics. You will feel like you're operating a Gunship. - Thunderous sound effects that make every bomb mighty. - Intense & exciting combat with various enemy forces. - Massive variety of bombs, military vehicles and upgrades. - Compete for the high-score in Survival mode. - No forced ads! - Play OFFLINE! Instagram :@SHDgames © 2024 SHD Games lnc. All Rights Reserved.
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 28, 2026, 7:29 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: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 28, 2026, 7:29 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology