INDUSTRY-LEADING SOLUTIONS
Sports
Solutions
End-to-end sports technology engineering for organisations that need to move at the speed of live sport — from real-time data feeds and AI-powered performance analytics to fan engagement platforms, fantasy & DFS infrastructure, and the broadcast-grade streaming architecture that puts your content in front of every fan, everywhere.
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The Modern Sports Technology Ecosystem
Sports is the last truly live medium — and that liveness is both its greatest asset and its greatest engineering challenge. A 3-second delay in a score update, a buffering stream during a match-winning goal, or a crashing fantasy app during the Sunday window are not inconveniences. They are the moments that determine whether fans trust your platform with their attention next week.\n\nThe sports technology market is consolidating fast. Leagues, clubs, and rights holders who built their fan relationship through broadcast are now competing to own the direct digital channel — the app, the data, the personalisation layer — before a third-party platform commoditises it for them.\n\niSkylar builds the sports technology stack that powers this ownership. Real-time data ingestion, low-latency streaming, AI-driven performance intelligence, and fan engagement infrastructure engineered for the specific demands of live sport — where every second counts and every concurrent user matters.
ENGINEERED FOR PERFORMANCE
Core Infrastructure Features
MODULE 01
Sub-Second Live Data & Score Infrastructure
Real-time sports data ingestion from Sportradar, Stats Perform, Opta, and proprietary tracking systems — processed and pushed to end users in under 500ms via WebSocket connections, keeping every fan perfectly synchronised with live action.
MODULE 02
Low-Latency Live Streaming Architecture
Broadcast-grade live streaming with sub-8-second glass-to-glass latency using LL-HLS and WebRTC — with adaptive bitrate delivery, DVR rewind, multi-angle switching, and concurrent viewer scaling tested to 500,000+ simultaneous streams.
MODULE 03
Fantasy, DFS & Prediction Game Engine
Full infrastructure for fantasy leagues, daily fantasy sports (DFS), and prediction games — including real-time roster scoring, prize pool management, payment processing, and state-by-state regulatory compliance for markets where applicable.
MODULE 04
Peak-Event Auto-Scaling for Match Day Traffic
Cloud-native infrastructure that handles the instantaneous traffic spike of kick-off, tip-off, or opening bell — auto-scaling compute, database connections, and CDN capacity in the minutes before events start, not in reaction to performance degradation.
The Three Pillars of the System
Fan Experience
- Live scores & match centre
- Live streaming & video
- Fan app (iOS & Android)
- Push alerts & personalisation
- Fantasy & prediction games
Performance & Operations
- Athlete performance tracking
- Wearable & IoT data integration
- Team & squad management
- Injury & load monitoring
- Tactical analysis dashboard
Data & Revenue
- Real-time sports data feeds
- Betting & odds integration
- Sponsorship analytics
- Ticketing & merchandise
- Broadcast rights management
THE INTELLIGENCE LAYERAI-Driven
AI-Driven
Optimization
AI-Powered Performance Analytics
Computer vision and ML models that analyse match footage and tracking data to generate automated performance reports, heat maps, pass networks, and tactical pattern recognition — delivering insights in minutes rather than the hours required by traditional video analysis workflows.
Predictive Injury & Load Management
Physiological and workload ML models trained on GPS tracking, heart rate variability, and historical injury data that flag elevated injury risk before symptoms appear — enabling coaching staff to make evidence-based rotation and training load decisions.
Personalised Fan Content & Notification Engine
Behavioural models that learn each fan's favourite players, content preferences, and notification tolerance to surface hyper-relevant highlights, stats, and alerts — increasing app session frequency by 35–50% compared to broadcast-all notification approaches.
Automated Match Commentary & Highlights Generation
NLP and computer vision models that automatically generate written match summaries, key moment clips, and social-ready highlight packages within minutes of events occurring — enabling rights holders to publish across every channel without a manual production step.
The Technology Frontier
React Native
Node.js
Python
PostgreSQL
Redis
Kafka
AWS CloudFront
LL-HLS
WebRTC
Sportradar API
TensorFlow
Elasticsearch
The Delivery Lifecycle
1
Sports Data & Rights Audit
We map your data provider relationships (Sportradar, Opta, Stats Perform, proprietary), broadcast rights constraints, regulatory requirements for fantasy or betting features, and existing technology stack — designing a platform architecture around the specific data and rights you actually own.
2
Platform Architecture & Live Data Design
Real-time data ingestion pipeline design, streaming architecture, fan app prototypes, and performance analytics dashboard wireframes validated with sports operations and digital staff before production build begins.
3
Agile Build, Live Event Testing & Load Simulation
Two-week sprints with working sports features at every milestone. Live data feeds, streaming pipelines, and fantasy scoring engines tested against real match events in staging — with load simulation targeting your peak concurrent user projection on the biggest event of the season.
4
Season Launch, Rights Integration & Hypercare
Phased launch aligned to your season calendar, with live event support during opening rounds, rights partner onboarding, and a 90-day hypercare window. Active monitoring of data latency, stream quality, and fan engagement metrics through the critical first weeks of live operation.
Investment & Pricing
Scalable packages designed to grow with your business, from MVP to Enterprise solutions.
Growth
From $28,000
For sports clubs, regional leagues, and sports tech startups building their first fan-facing digital platform.
- Sports data & rights audit
- Fan app (iOS & Android)
- Live score & match centre
- Real-time push notifications
- Basic fantasy or prediction game
- Video highlights module
- 3 months post-launch support
- Full IP & source code ownership
POPULAR
EnterpriseCustom Quote
For national leagues, rights holders, and professional clubs requiring full-stack AI-powered sports technology infrastructure.
- All Growth features
- Live streaming (LL-HLS + WebRTC)
- AI performance analytics dashboard
- Predictive injury & load management
- Personalised fan content engine
- Automated highlights generation
- Fantasy / DFS / betting integration
- Dedicated offshore engineering team
- SLA 99.9% uptime guarantee
- Priority live event support
* Note: Final costs vary based on feature complexity, platform choices, and specific API integrations. Get an exact quote for your project.
Frequently Asked Questions
Which sports data providers can you integrate with, and can you use our own tracking data?
We have built integrations with Sportradar, Stats Perform, Opta, Genius Sports, and Hawkeye. We also ingest proprietary tracking data from GPS vests (Catapult, STATSports), optical tracking systems, and custom timing infrastructure. If your data has an API or can be exported in a structured format, we can ingest and process it in real time.
How do you achieve low-latency live streaming for sports events?
We use LL-HLS (Low-Latency HTTP Live Streaming) for broad device compatibility with sub-6-second latency, and WebRTC for scenarios where sub-2-second latency is required (live betting integrations, interactive coaching tools). Both approaches include adaptive bitrate delivery, CDN edge caching, and DVR rewind. We target glass-to-glass latency under 8 seconds for LL-HLS at scale.
Can you build fantasy or DFS features, and how do you handle the regulatory complexity?
Yes. We build the full fantasy and DFS infrastructure including real-time roster scoring, prize pool management, and payment processing. Regulatory compliance (where fantasy or DFS is classified as gaming rather than skill competition) requires jurisdiction-specific legal review — we work alongside your legal team to scope which markets require licensing and configure the platform accordingly.
How do you handle the concurrent traffic spike at kick-off or tip-off?
Match-day traffic is instantaneous and predictable by schedule. We configure predictive pre-scaling that provisions compute capacity in the 15–30 minutes before scheduled event start — based on your historical peak data and ticket/registration numbers. Load tests simulate your largest event of the season before the first ball is kicked, not after the first crash report.
Can the platform handle multiple sports — for example, a league that runs football, basketball, and athletics events?
Yes. Our platform architecture supports multiple sports with sport-specific data schemas, scoring logic, and content types under a unified fan app and backend. Fans can follow individual sports or across the full portfolio. Fantasy games, performance analytics, and live streaming are all configurable per sport without separate codebases.
How long does it take to build a sports fan platform, and can you deliver in time for a season launch?
A focused fan app with live data and highlights typically takes 12–16 weeks. A full platform with streaming, AI analytics, and fantasy takes 20–28 weeks. We plan delivery milestones against your season calendar — if you have a fixed launch date, we scope and phase accordingly so you go live with core features on time and expand through the season.
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