--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "ShotScore: AI Target Scoring" developer_entity: "Base 2 Applications, LLC" bundle_id: "com.shotscore.app" app_store_id: "6761975477" category: "Sports" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-24" report_date: "2026-09-27" last_verified: "2026-09-27T00:00:00.000Z" report_version: "1.0.5" total_reviews: 7 overall_rating: 4.9 sentiment: "Thrilled" sentiment_score: 95 confidence: "medium" confidence_score: 0.6 top_praise_theme: "Automated hit detection technology saves significant time for shooters at the range during practice sessions" top_complaint_theme: "Lack of manual editing tools for target zones limits user control over hit detection accuracy" review_sample_size: 8 total_review_count: 8 analyzed_review_count: 8 data_age_days: 47 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["sports", "freemium", "thrilled sentiment", "mobile app", "app review", "app analysis", "competitive", "shooters", "tactical"] canonical_url: "https://marlvel.ai/apps/shotscore-ai-target-scoring" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (weapons). Information is aggregated from public sources for informational purposes only. Information is provided for context only and is not professional advice. --- # ShotScore: AI Target Scoring Intelligence Report ## TL;DR {#tldr} - **Category**: Sports · Freemium - **Signal**: Rating 4.86 · Sentiment Thrilled - **Recent focus**: Lack of manual editing tools for target zones limits user control over hit detection accuracy (top complaint) · Automated hit detection technology saves significant time for shooters at the range during practice sessions (top praise) > **TL;DR:** ShotScore: AI Target Scoring is a sports app by Base 2 Applications, LLC, rated 4.86/5 by 7 users, with Thrilled user sentiment (95/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** ShotScore: AI Target Scoring maintains Thrilled user sentiment (4.86/5 from 7 reviews), with users consistently praising automated hit detection technology saves significant time for shooters at the range during practice sessions. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.86/5 (7 reviews) | | **User Mood** | Thrilled | | **Category** | Sports | | **Developer** | Base 2 Applications, LLC | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Medium (0.6/1.0) | | **Data Age** | 47d | ## Metadata & Market Performance - **Publisher:** Base 2 Applications, LLC - **Category:** Sports - **Target Audience:** Competitive shooters and tactical training enthusiasts who require precise, offline-capable scoring and performance tracking. - **Platforms:** iOS & Android - **Version Reviewed:** 1.0.5 - **Report Date:** 2026-09-27 - **Signal Count:** 8 reviews analyzed - **Confidence:** Medium (0.6/1.0) - **App Store ID (iOS):** 6761975477 - **Bundle ID:** com.shotscore.app - **Google Play ID:** com.shotscore.app - **Data Window:** Analysis based on signals collected up to 2026-09-27 ## Executive Snapshot **What it is:** ShotScore is a mobile scoring tool for paper targets that uses on-device AI to detect bullet holes and track performance for competitive shooters. **Why users hire it:** The app removes the time-intensive manual counting process at the range, providing a digital performance record that functions without cellular connectivity. ## App DNA (Features & Intent) - **[Differentiator] On-device AI Scoring:** Computer vision detects bullet holes and scoring zones locally without requiring internet connectivity. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Manual Zone Adjustment:** Users can manually add, resize, or move scoring zones and correct hit detection errors via touch interface. - **[Standard] Training Log & Analytics:** Tracks round counts, firearm types, and accuracy trends over time within a digital log. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} ShotScore holds a 4.86-star rating across 8 reviews, establishing a strong initial reputation for accuracy. The lack of recent functional updates (156 days since the last store update) suggests a maintenance-first posture that risks losing momentum to more active rivals. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with 10 AI scans and local storage, Monthly Pro at $3.99/month, Yearly Pro at $24.99/year, Lifetime Unlock at $29.99 - **Analysis:** Freemium model with a hard scan limit on the free tier, incentivizing conversion to subscription or lifetime access for power users. ## 🟢 User Sentiment (Medium Confidence: 8 of 8 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.86/5 - **Platform Split:** iOS 4.9/5 (7 ratings) - **Overall Sentiment:** Thrilled ### Top Praises - **Automated hit detection technology saves significant time for shooters at the range during practice sessions** - **Data visualization of shooting progress helps users transition from casual practice to structured training sessions** ### Top Complaints (Impact Areas) - **Lack of manual editing tools for target zones limits user control over hit detection accuracy** ## SWOT Analysis {#swot} **Core Strengths:** - Offline-first computer vision removes connectivity dependencies at remote ranges - Longitudinal performance tracking creates high switching costs for power users **Growth Levers:** - Localized pricing could capture segments in high-ARPU international markets ## What's New - **Latest (v1.0.5, 5 months ago):** Refined the onboarding tutorial for new users. ## App Momentum (Maintenance) {#momentum} - Refined onboarding tutorial in latest release. - Quiet 5 months, maintenance-mode cadence. > **Cadence:** 1 total versions · 0 majors in last 6 months · 156 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} ShotScore: AI Target Scoring is a market-leading sports app that is free with in-app purchases. With a 4.86/5 rating from 7 reviews, it delivers strong user satisfaction. > **Bottom Line:** Implementing manual miss-logging and zone editing would address the primary frustrations driving user requests. Prioritizing these tools would unlock higher retention among power users who currently find the training data incomplete. **Best for:** Competitive shooters and tactical training enthusiasts who require precise, offline-capable scoring and performance tracking. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship manual miss-logging and zone editing tools because they are the top-requested features in reviews → increase user retention ### Outlook: Stable The competitive shooting app market is consolidating around tools that offer both precision scoring and comprehensive performance analytics. ShotScore's maintenance-mode cadence leaves it exposed to rivals who can iterate faster on user-requested features like miss-logging, which would erode the app's current lead in user satisfaction. - 🔴 The 156-day gap since the last update suggests a maintenance-mode cadence, which risks ceding ground to competitors with faster feature-release cycles. - 🟢 High user sentiment (4.86 stars) indicates that the core hit-detection mechanism is effective, providing a solid foundation for future feature expansion. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.86/5 | | Total Reviews | 7 | | Sentiment | Thrilled (95/100) | | Confidence | Medium | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **ShotScore: AI Target Scoring** (this app) | 4.86/5 | Thrilled | Base 2 Applications, LLC | | [Football Playbook Animator](https://marlvel.ai/apps/football-playbook-animator) | 4.6/5 | N/A | BJT Software LLC | | [Football Play Designer](https://marlvel.ai/apps/football-play-designer) | 4.1/5 | N/A | greg brady | | [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 | ## Company Profile - **Developer:** Base 2 Applications, LLC - **Website:** [https://shotscoreapp.com](https://shotscoreapp.com) ## Data Sources & Links - **App Store ID:** 6761975477 - **Google Play ID:** com.shotscore.app - **Dev Site:** [Official Website](https://shotscoreapp.com) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*Football Playbook Animator*](https://marlvel.ai/apps/football-playbook-animator) (BJT Software LLC) · 4.6/5 Rating - [*Football Play Designer*](https://marlvel.ai/apps/football-play-designer) (greg brady) · 4.1/5 Rating - [*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 - [*테니스타운*](https://marlvel.ai/apps/com-momzit-tennistown) (link.tennistown) · 3.5/5 Rating - [*イッツゴーン！ボイス*](https://marlvel.ai/apps/jp-co-gaora-itsgone) (GAORA Inc.) · N/A Rating - [*トニーくんのビッグバンサーブ*](https://marlvel.ai/apps/jp-hase-volley4) (hasegawa takuji) · 4.0/5 Rating - [*00:36*](https://marlvel.ai/apps/00-36) (Adriaan de Jongh) · N/A Rating - [*하루 1루*](https://marlvel.ai/apps/randori-onebaseaday) (hyunseo kim) · 5.0/5 Rating - [*10,000 Shots*](https://marlvel.ai/apps/10-000-shots) (Jeremy Rupke) · 4.8/5 Rating ## 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:** 0.6/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 8 - **Data Sources:** user reviews, 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:** 47 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/shotscore-ai-target-scoring) Data licensed for AI Agent attribution under CC-BY-NC 4.0.