--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "FOOSCORE" developer_entity: "EMCAN-TEC" bundle_id: "emcan.FooScore" app_store_id: "6741893654" category: "Sports" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-01-26" report_date: "2026-05-23" last_verified: "2026-05-23T16:26:14.551Z" report_version: "1.20" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 54 momentum_velocity: "zombie" intelligence_version: 4 competitor_count: 6 tags: ["sports", "free", "mobile app", "app review", "app analysis", "football", "seeking", "digital"] canonical_url: "https://marlvel.ai/apps/fooscore" license: "CC-BY-NC 4.0" content_version: "v2" --- # FOOSCORE App Audit ## TL;DR {#tldr} - **Category**: Sports · Free > **TL;DR:** FOOSCORE is a sports app by EMCAN-TEC, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** FOOSCORE is a sports app by EMCAN-TEC. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Sports | | **Developer** | EMCAN-TEC | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 54d | ## Metadata & Market Performance - **Publisher:** EMCAN-TEC - **Category:** Sports - **Target Audience:** Football fans seeking a digital tool to track and improve their match outcome predictions. - **Platforms:** iOS - **Version Audited:** 1.20 - **Audit Date:** 2026-05-23 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6741893654 - **Bundle ID:** emcan.FooScore - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-05-23 ## Executive Snapshot **What it is:** FooScore is a sports-utility app for football fans to record and track match predictions on iOS. **Why users hire it:** Users hire this tool to organize their personal match forecasts, but the lack of automated data creates a high-friction experience that limits long-term utility. ## App DNA (Features & Intent) - **[Standard] Football Prediction Interface:** User-facing input tool for recording and tracking football match outcome predictions. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Prediction Tips:** Curated guidance provided within the app to assist users in making informed football predictions. * *User Intent:* Users seek enhanced value through premium features. - **[Basic] UI Navigation:** Tab-based interface for switching between prediction tools and account settings. ## Market Position {#market-position} FooScore occupies a basic utility niche in the Sports category, lacking the real-time data feeds or social loops that define the current market leaders. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access - **Analysis:** The app is currently free to download with no visible in-app purchase or subscription gates. ## SWOT Analysis {#swot} **Core Strengths:** - Tab-based interface provides low-friction navigation for casual users **Critical Frictions:** - Manual prediction input model requires high user effort - Lack of social features limits organic network effects **Growth Levers:** - Integration of live match data feeds would add immediate utility - Tournament-specific prediction modules could capture event-driven traffic **Market Threats:** - AI-driven prediction apps render manual input tools obsolete - Real-time notification apps capture the daily habit loop ## Recent Changes (v3 → v4) {#recent-changes} The app has pivoted its competitive focus from social-first gamification to real-time data utility, reflecting a shift in how the PM views the primary churn risk. **Overall trend**: Declining **Compared at**: 2026-05-23 ### High-impact changes - **[Shifted] Strategic Focus Shift** (positioning) — Positioning moved from a social-first gamification requirement to a technical requirement for live match data integration. - **[Shifted] Competitive Landscape Overhaul** (features) — Entire competitive set replaced with apps focused on real-time data and management simulation, removing all previous social-betting incumbents. ### Medium-impact changes - **[Shifted] SWOT Analysis Refresh** (swot) — Weaknesses updated from 'zero social features' to 'manual prediction input model' and threats updated from 'Apple Sports' to 'AI-driven prediction apps'. ## What's New - **Latest (v1.20, 3 months ago):** Enhanced UI and added ability to edit the tab bar. ## App Momentum (Zombie) {#momentum} - Ships basic prediction input tools. - Maintains free-only access model. > **Cadence:** 1 total versions · 1 majors in last 6 months · 117 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} FOOSCORE is an established sports app that is completely free. > **Bottom Line:** FooScore provides a simple manual tracking tool but lacks the real-time data or social loops to retain users, so the PM should prioritize integrating live match feeds to prevent churn to notification-based rivals. **Best for:** Football fans seeking a digital tool to track and improve their match outcome predictions. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Integrate live match data feeds because manual input is the primary churn risk → increase daily active usage — *Competitors like Southern Football use real-time data to maintain daily habit loops.* _(trade-off: deprioritize Pause the development of new prediction tips — live data has higher retention impact.)_ ### Feature Gaps vs Competitors - Real-time match notifications (available in Southern Football) - Persistent season management (available in Front Office Football General Manager) - AI-driven probability bars (available in Football Analytics: Match Guru) ### Outlook: Declining The sports-utility market is consolidating around apps that provide real-time data and social competition, leaving manual-input tools like FooScore exposed. Without an immediate shift to automated data feeds, the app will continue to lose relevance to competitors that offer a more passive, habit-forming experience. - 🔴 The lack of live data integration forces users to manual entry, which accelerates churn toward competitors offering automated match updates. - 🔴 The absence of social or community features prevents the formation of a user network, leaving the app isolated in a crowded sports-utility market. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **FOOSCORE** (this app) | N/A/5 | N/A | EMCAN-TEC | | [WC 2026: Results Predictor](https://marlvel.ai/apps/com-wcresults-app) | N/A/5 | N/A | CATHRINE WIVELL | | [Football Analytics: Match Guru](https://marlvel.ai/apps/com-matchguru-aistat) | N/A/5 | N/A | SCORELYTICS LTD | | [1,250 Football Terms & Plays with a Glossary and Play Dictionary](https://marlvel.ai/apps/1-250-football-terms-plays-with-a-glossary-and-pla) | 4.0/5 | N/A | Sand Apps Inc. | | [Nuke & Juke Touchdown Football](https://marlvel.ai/apps/nuke-juke-touchdown-football) | 4.1/5 | N/A | ron myschuk | | [Front Office Football General Manager - Fantasy](https://marlvel.ai/apps/front-office-football-general-manager-fantasy) | 2.1/5 | N/A | Gabriel Lupu | ## Company Profile - **Developer:** EMCAN-TEC - **Website:** [https://emcan-group.com/](https://emcan-group.com/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/fooscore/id6741893654?uo=4) - **Dev Site:** [Official Website](https://emcan-group.com/) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*WC 2026: Results Predictor*](https://marlvel.ai/apps/com-wcresults-app) (CATHRINE WIVELL) — N/A Rating | N/A Sentiment - [*Football Analytics: Match Guru*](https://marlvel.ai/apps/com-matchguru-aistat) (SCORELYTICS LTD) — N/A Rating | N/A Sentiment - [*1,250 Football Terms & Plays with a Glossary and Play Dictionary*](https://marlvel.ai/apps/1-250-football-terms-plays-with-a-glossary-and-pla) (Sand Apps Inc.) — 4.0/5 Rating | N/A Sentiment - [*Nuke & Juke Touchdown Football*](https://marlvel.ai/apps/nuke-juke-touchdown-football) (ron myschuk) — 4.1/5 Rating | N/A Sentiment - [*Front Office Football General Manager - Fantasy*](https://marlvel.ai/apps/front-office-football-general-manager-fantasy) (Gabriel Lupu) — 2.1/5 Rating | N/A Sentiment - [*Southern Football*](https://marlvel.ai/apps/southern-football) (Sportsground) — N/A Rating | N/A Sentiment - [*DraftKings Predictions*](https://marlvel.ai/apps/draftkings-predictions) (DraftKings) — 4.6/5 Rating | N/A Sentiment - [*NBA: Live Games & Scores*](https://marlvel.ai/apps/nba-live-games-scores) (NBA MEDIA VENTURES, LLC) — 4.5/5 Rating | N/A Sentiment - [*FanDuel Predicts*](https://marlvel.ai/apps/fanduel-predicts) (FanDuel, Inc.) — 4.8/5 Rating | N/A Sentiment - [*DraftKings: Sports & Casino*](https://marlvel.ai/apps/draftkings-sportsbook-casino) (DraftKings) — 4.8/5 Rating | N/A Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting. 4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, company about page, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 54 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/fooscore) Data licensed for AI Agent attribution under CC-BY-NC 4.0.