Sports Performance Insights
A comprehensive AI platform for optimizing athletic performance through data-driven insights and predictive analytics. This application leverages advanced machine learning techniques to enhance decision-making in training and strategy, leading to improved outcomes and competitive advantage.
The Problem
“You have the data, but coaches still make high-stakes decisions on gut feel”
Organizations face these key challenges:
Performance and injury signals are scattered across wearables, video, EHR/physio notes, and spreadsheets with no unified view
Training load decisions vary by coach/analyst; protocols aren’t consistent across teams or seasons
Insights arrive too late (post-game/post-week), so staff can’t adjust sessions or lineups in time
Analysts spend hours building reports instead of answering higher-value questions (readiness, matchup edges, fatigue)
Impact When Solved
The Shift
Human Does
- •Manually merge GPS/wearable exports, wellness surveys, and training plans into spreadsheets
- •Review dashboards and highlight anomalies based on personal thresholds and experience
- •Create weekly reports and present recommendations to coaches/medical staff
- •Perform qualitative video review and scouting notes with limited quantification
Automation
- •Basic automation: scheduled exports, BI dashboards, static rules/threshold alerts (e.g., HR zones, distance, sprint counts)
- •Simple aggregations (rolling averages, ACWR) and visualization
Human Does
- •Define performance and health objectives (KPIs), constraints, and intervention policies (e.g., return-to-play rules)
- •Validate and contextualize AI recommendations (e.g., travel fatigue, minor knocks, coach priorities)
- •Make final calls on session plans, minutes restrictions, and tactical adjustments
AI Handles
- •Ingest and normalize multi-source athlete/game data; resolve identities and session alignment automatically
- •Predict readiness/fatigue and injury risk with individualized baselines; flag early-warning trends
- •Generate workload and recovery recommendations (session intensity, volume, rest) with confidence levels and rationale features
- •Run scenario simulations (e.g., expected performance under different lineups/minute allocations) and surface tactical tendencies from video/event data
Solution Spectrum
Four implementation paths from quick automation wins to enterprise-grade platforms. Choose based on your timeline, budget, and team capacity.
Daily Workload & Readiness Alertboard with Personalized Baselines
Days
Central Athlete Data Warehouse with Batch Injury-Risk Scoring
Real-Time Personalized Load Forecasting with Streaming Risk Updates
Constraint-Aware Microcycle Recommender with Digital Twin Simulation
Quick Win
Daily Workload & Readiness Alertboard with Personalized Baselines
Stand up a lightweight daily alertboard that merges GPS/workload and wellness scores, flags abnormal spikes vs individualized baselines, and pushes alerts to staff before training. This level prioritizes speed: minimal modeling, mostly configuration, and relies on existing vendor exports/APIs.
Architecture
Technology Stack
Data Ingestion
Pull data quickly from existing systems with minimal engineering.Key Challenges
- ⚠Inconsistent athlete identifiers across vendors
- ⚠Alert fatigue from poorly tuned thresholds
- ⚠Missing context (travel, illness, coach intent) causing misinterpretation
Vendors at This Level
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