Sail Results (PY 2025)
Research answer
What AppTrendKit can say about Sail Results (PY 2025) today
AppTrendKit estimates Sail Results (PY 2025)'s App Store USD gross consumer spend at $198–$1.4K and downloads at 223–1.8K during 2026-08-09 to 2026-09-07 (30-day window) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
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
Modeled631
Range 223 – 1.8K
Estimated App Store gross consumer spend · 30D
Modeled$534
Range $198 – $1.4K
Estimated downloads · 7D
Modeled631
Range 223 – 1.8K
Estimated App Store gross consumer spend · 7D
Modeled$534
Range $198 – $1.4K
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 631 | $534 | 16% |
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.
| Storefront | Revenue | Share | Downloads | Rank | Confidence |
|---|---|---|---|---|---|
| United KingdomGB | $534 | 100.0% | 631 | — | 1% |
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
- 1.0.34
- Released
- Apr 22, 2016
- Last updated
- Feb 6, 2026
- Content rating
- 4+
- 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
I'll be honest - I wrote this App as I was fed up with calculating Dinghy Race Results for my local club using Sailwave. It was just taking too much time! I wanted something quick and easy to use that allowed me to set up boats and competitors and then allow me to publish the results to my local club website. I didn't want to type much and I wanted to see results at any point during the race. If you race a boat with a sail then this is the App for you! Quick entry of: - Series - Races - Boats It includes the ability to add helm, crew, sail number and Portsmouth Yardstick numbers (RYA 2021 and 2019) are included but you can add your own if you want. App includes drop downs of previous competitor information so that new series/races can be added *very* quickly. Race results (per lap) can be added automatically or manually using a simple clear interface. After racing is complete results can be emailed to one or more recipients. Race start sequence counts down from -5 minutes with appropriate 'beeps' at 5,4,1,0 minutes. Results are available immediately, so you can see the current results even if the race is still in progress. Results can be emailed or copied to the clipboard - easy to add to club website. Series can be exported and imported between Apps
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, 8:37 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: 1%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:27 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
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