---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Data'Scout"
developer_entity: "Data'Scout"
bundle_id: "pro.datascout.app"
app_store_id: "6799873872"
category: "Sports"
primary_platform: "ios"
primary_monetization: "Subscription"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-09-08"
report_date: "2026-09-17"
last_verified: "2026-09-17T00:00:00.000Z"
report_version: "1.0.4"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 58
momentum_velocity: "active"
intelligence_version: 2
tags: ["sports", "subscription", "mobile app", "app review", "app analysis", "professional", "scouts,", "agents,"]
canonical_url: "https://marlvel.ai/apps/data-scout"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Data'Scout Intelligence Report

## TL;DR {#tldr}

- **Category**: Sports · Subscription

> **TL;DR:** Data'Scout is a sports app by Data'Scout, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Data'Scout is a sports app by Data'Scout.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Sports |
| **Developer** | Data'Scout |
| **Pricing** | Subscription |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 58d |

## Metadata & Market Performance
- **Publisher:** Data'Scout
- **Category:** Sports
- **Target Audience:** Professional scouts, agents, coaches, and football analysts requiring objective, data-driven player evaluation tools.
- **Platforms:** iOS & Android
- **Version Reviewed:** 1.0.4
- **Report Date:** 2026-09-17
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6799873872
- **Bundle ID:** pro.datascout.app
- **Google Play ID:** pro.datascout.app
- **Data Window:** Analysis based on signals collected up to 2026-09-17
- **Short Description:** Football analysis that’s accessible to everyone!

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Data'Scout is a football analytics platform for professional scouts and analysts, providing player comparison, performance projection, and scouting filters on iOS and Android.
**Why users hire it:** The platform removes the cognitive friction of manual cross-league performance evaluation by normalizing statistics into position-specific percentiles and projection models.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Inter-league Projection Model:** Predicts player performance metrics when moving between different league competitive levels using physical and tactical data.
  * *User Intent:* Users are driven by competitive achievement and recognition.
- **[Differentiator] Custom Performance Indices:** Allows users to build weighted statistical models based on specific criteria like speed, pressing, or creativity.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Interactive Player Radars:** Visualizes player statistics via radar charts and pizza graphs relative to position-specific percentiles.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Data'Scout currently ranks #111 in the Sports category (FR), reflecting its niche focus on professional-grade analytics rather than mass-market fan engagement. The gap between its specialized feature set and the broader sports app market suggests a strategy prioritizing high-ARPU professional users over casual volume.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Subscription
- **Tiers:** Starter tier at €7.99/month, Pro à la carte at €19.99/championnat/month, Pro Illimité for clubs/agencies via custom quote
- **Analysis:** Subscription model uses a tiered approach, gating advanced physical data and unlimited scouting behind a per-league or enterprise-level pricing structure.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Inter-league projection model enables objective player evaluation across disparate competitive levels
- Custom performance indices create high switching costs by locking proprietary scouting logic into the platform

**Growth Levers:**
- Expansion into the North American market where scouting tools often lack deep European league data
- Integration with video-scouting platforms to bridge the gap between statistical and visual analysis


<!-- /section:swot -->
<!-- section:whats-new -->
## What's New

- **Latest (v1.0.4, 1 weeks ago):** Enabled special character support for player search and added image export functionality for performance charts and media assets.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Active) {#momentum}

- Shipped special character search support.
- Added club crests to performance charts.
- Enabled image export for scouting assets.

> **Cadence:** 3 total versions · 2 majors in last 6 months · 8 days since last update · 3 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Data'Scout is a sports app.

<!-- speakable-start -->
> **Bottom Line:** Data'Scout's inter-league projection model provides a defensible mechanism for professional recruitment workflows. Prioritizing the integration of collaborative team features would address the primary friction point for agency and club-level adoption, unlocking higher enterprise-tier conversion rates.
<!-- speakable-end -->

**Best for:** Professional scouts, agents, coaches, and football analysts requiring objective, data-driven player evaluation tools.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] Ship collaborative team scouting boards because professional agencies require multi-user access → increase enterprise-tier conversion
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Improving

The professional sports analytics market is shifting toward automated decision-support tools that bridge the gap between raw data and actionable recruitment insights. Data'Scout is well-positioned to capture this segment if it continues to refine its projection models and expands into collaborative team workflows.

- 🟢 The high-frequency release cadence (three updates in eight days) demonstrates active feature investment, which builds confidence in the platform's long-term utility for professional scouts.
- ⚪ The focus on niche scouting tools limits mass-market growth but strengthens the platform's position as a specialized, high-value tool for professional football recruitment.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Subscription |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Outlook | Improving |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Data'Scout** (this app) | N/A/5 | N/A | Data'Scout |
| [플레이공](https://marlvel.ai/apps/com-tychesoft-playball) | N/A/5 | N/A | Tychesoft |
| [더블이글 - 요즘 골프예약](https://marlvel.ai/apps/com-albatrss-de) | 4.0/5 | N/A | Double Eagle Inc. |
| [테니스타운](https://marlvel.ai/apps/com-momzit-tennistown) | 3.5/5 | N/A | link.tennistown |
| [イッツゴーン！ボイス](https://marlvel.ai/apps/jp-co-gaora-itsgone) | N/A/5 | N/A | GAORA Inc. |
| [トニーくんのビッグバンサーブ](https://marlvel.ai/apps/jp-hase-volley4) | 4.0/5 | N/A | hasegawa takuji |

## Company Profile
- **Developer:** Data'Scout
- **Website:** [https://datascout.pro](https://datascout.pro)
- **Social:** [Instagram](https://www.instagram.com/datascout.fr) · [X/Twitter](https://twitter.com/datascout_) · [LinkedIn](https://www.linkedin.com/company/datas-scout)

## Data Sources & Links
- **App Store ID:** 6799873872
- **Google Play ID:** pro.datascout.app
- **Dev Site:** [Official Website](https://datascout.pro)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*플레이공*](https://marlvel.ai/apps/com-tychesoft-playball) (Tychesoft) · N/A Rating
- [*더블이글 - 요즘 골프예약*](https://marlvel.ai/apps/com-albatrss-de) (Double Eagle Inc.) · 4.0/5 Rating
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## Frequently Asked Questions {#faq}

### Is Data'Scout suitable for casual football fans?

Data'Scout is designed primarily for professional scouts, agents, and analysts. While casual fans can use it, the advanced features like inter-league projection models and per-league subscription pricing are tailored to professional recruitment workflows.

### How does Data'Scout's pricing work?

Data'Scout uses a tiered subscription model. There is a Starter tier for basic access, while advanced features like inter-league projections are gated behind a Pro-tier subscription priced per championship per month.

### What makes Data'Scout different from other sports stat apps?

Data'Scout differentiates itself with an inter-league projection model that estimates player performance across different competitive levels, a specialized tool for professional scouting rather than just surface-level statistics.

## 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 into synthesised themes (no verbatim quotes).
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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, 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:** 58 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/data-scout)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.