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GameEdge AI
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GameEdge Academy

Master GameEdge AI and learn how to use live sports intelligence, AI-powered analysis, and statistical decision support with confidence.

Academy

🎓 GameEdge Academy

Master GameEdge AI and learn how to use live sports intelligence, AI-powered analysis, and statistical decision support with confidence.

Est. learning time · 17 min
Progress · 0% complete
0 / 10 lessons
Learning Path

Ten lessons to full mastery

Feature Library

Everything the platform offers

Mission Control

Purpose
Guided setup checklist for new users.
Best Use
First-time onboarding.
Tip
Reopen anytime from Settings.

Intelligence Brief

Purpose
Daily command center for what matters today.
Best Use
First stop each session.
Tip
Check Research Alerts before running Analyze.

Edge Radar™

Purpose
AI-powered scanner ranking scenarios by edge & confidence.
Best Use
Discovering opportunities across all sports.
Tip
Tune the confidence threshold in Radar Settings.

AI Coach

Purpose
Plain-language explanations behind every projection.
Best Use
Understanding *why* a scenario ranks high.
Tip
Always read Risk Factors before saving.

Analyze

Purpose
Deep single-scenario analysis with EV and confidence.
Best Use
Focused research on one player/team.
Tip
Set a benchmark before running.

Scenario Analyzer

Purpose
Compare multiple scenarios side by side.
Best Use
Building a diversified portfolio.
Tip
Compare ≥3 scenarios for calibration.

Tracker

Purpose
Watch saved scenarios and outcomes over time.
Best Use
Building historical performance data.
Tip
Tag scenarios by strategy.

Performance

Purpose
Accuracy, portfolio grade, calibration trends.
Best Use
Weekly review sessions.
Tip
Look at calibration, not just win rate.

Sports Hub

Purpose
Browse all supported leagues.
Best Use
Discovering sports you haven't explored.
Tip
Pin favorites to prioritize them.

Favorites

Purpose
Your pinned sports and shortcuts.
Best Use
Focusing daily workflow.
Tip
Keep it under 5 for clarity.

Settings

Purpose
Data sources, modes, preferences.
Best Use
Configuring live vs sample data.
Tip
Enable Live mode once your API key is set.
Metrics Dictionary

Read every signal like a pro

Confidence

How strongly the data supports this projection.

Example · 82% confidence = strong statistical backing.

Projected Edge

Difference between our model and the benchmark line.

Example · +3.2 rushing yards above the line.

Expected Value

Estimated value if you played this repeatedly at these odds.

Example · +7% EV means slight long-term edge.

Risk

Overall uncertainty from data, injuries, and variance.

Example · High risk on a player returning from injury.

Volatility

How consistent a player/team has been historically.

Example · Low volatility = predictable range.

Data Quality

How complete and reliable the inputs are.

Example · Missing injury data lowers quality.

Trend Score

Direction and strength of recent form.

Example · +8 trend = strong upward momentum.

Portfolio Grade

Overall quality grade across your saved scenarios.

Example · A- portfolio = balanced with edge.

Implied Probability

Probability implied by the market odds.

Example · -110 ≈ 52.4% implied probability.

Recommendation

Suggested action level based on all signals.

Example · Consider · Watch · Research Required.

Research Required

Signal is unclear — inspect manually before acting.

Example · Late scratch or thin sample size.
Interactive

Guided product walkthrough

A ten-step tour across Dashboard, Mission Control, Intelligence Brief, Edge Radar™, Sports Hub, Analyze, Scenario Analyzer, Tracker, Performance, and Settings.

Pro Playbook

Best practices

  • Always compare multiple scenarios.
  • Watch injuries before game time.
  • High confidence does not guarantee outcomes.
  • Review AI explanations before acting.
  • Track historical performance weekly.
  • Diversify your scenario portfolio.
  • Use Edge Radar daily as your first look.
Responsible Analytics

Statistics support you — they don't replace judgment.

  • GameEdge AI provides statistical analysis for research and education.
  • No outcome is guaranteed. Sports are inherently unpredictable.
  • Combine AI insights with your independent judgment.
FAQ

Frequently asked

Confidence blends sample size, data quality, recent form consistency, injury signals, and model agreement into a single 0–100 score.
Release Notes

What's shipped, what's next

v1.0

Current
  • Mission Control
  • Sports Hub
  • Live SportsDataIO
  • Scenario Analyzer
  • Tracker
  • Performance
  • Intelligence Brief
  • Edge Radar™
  • AI Coach

Next

Roadmap
  • Odds API integration
  • Weather data
  • Push notifications
  • Machine learning models
Achievements

Badges you can earn

0 / 6 unlocked · 0% complete

Academy Graduate

Complete all lessons.

First Analysis

Run your first analysis.

Scenario Builder

Compare 3+ scenarios.

Edge Hunter

Star an Edge Radar signal.

Tracker Master

Save 5 scenarios to Tracker.

Intelligence Explorer

Open every dashboard section.