---
title: StatsRadar Reviews
meta_title: 'StatsRadar Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how StatsRadar works for a business like yours.
date_modified: '2026-09-01'
parent_category:
  name: IT Management
  url: https://www.g2.com/categories/it-management
---


# StatsRadar Reviews
**Vendor:** Cloud Latitude Software  
**Category:** [Data as a Service (DaaS) Software](https://www.g2.com/categories/data-as-a-service-daas)  
**AI Enabled:** This product embeds AI to enhance or extend its core functionality.
## About StatsRadar
StatsRadar is the All-in-One sports data platform for regional (can also include Top-tier leagues if need) basketball leagues, delivering live scores, schedules, box scores, player statistics, play-by-play data, and fantasy sports data through clean, developer-friendly REST APIs. Unlike aggregators that scrape or resell second-hand data, StatsRadar is the source. So every data point is first-hand, complete, and pushed within seconds of the play being recorded. Where global sports data providers offer shallow, delayed coverage of Southeast/South Asian sports at enterprise-only prices, StatsRadar provides deep, real-time coverage with a self-serve model and a free tier. The platform spans five product lines: League Data API — schedules, live scores, match details, box scores, team rosters, player statistics, and injury reports, delivered through one consistent data model across every league. Fantasy Data API — player credits and per-category fantasy points for every match, updated live from tip-off to the final buzzer. Built from our team's own experience operating a fantasy sports game in the Philippines. AI Driven Sports Content — publish-ready recaps, social posts, talking points, and analyst breakdowns generated from official play-by-play data seconds after each game ends, plus AI-agent-produced pregame previews built from historical records. AI Engagement Toolkit — embeddable, white-label prediction games and interactive widgets that turn media readers and fans into daily returning users. Historical Data — complete archives of past seasons for analysis, product development, and model training. Developers can sign up, get an API key, and make their first call against sandbox data in under five minutes. Documentation is public, code samples are provided in curl, JavaScript, and Python, and plans scale from a free developer tier to enterprise agreements with SLAs and custom data delivery. StatsRadar is built for media and content sites, fantasy sports and game studios, app developers, and teams and leagues.






- [View StatsRadar pricing details and edition comparison](https://www.g2.com/products/statsradar/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-04+12%3A55%3A32+-0500&secure%5Bsession_id%5D=06302bfd-efdd-45ca-807e-a979d18f8ecc&secure%5Btoken%5D=b6b8e993693cb05fb012f0ec001e737a2d766fc97d203cbac664ebe84bf5bda3&format=llm_user)

## StatsRadar Features
**Data Management**
- Data Migration
- Managing Data
- Secured Data Storage

**Data as a Service**
- Self-Service Isights
- DaaS Quality

**Architecture**
- Data Fabric Creation
- DaaS Architecture

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