Sports Architecture & Technical Specs
AI injury risk scoring, holographic playcalls, HMAC-signed ticket gates, yield management, and 10 more services.
Service Breakdown & Metrics
AI Insights Engine
— Injury risk scoring, holographic playcalls (WebXR), performance prediction, scouting summaries, tactical summaries, overtraining alerts
Statistics
— Team/player statistics, historical comparisons, performance rankings
Standings
— Points-based ranking, win/loss/draw calculations, automatic updates
Gate Management
— HMAC-SHA256 ticket issuance, gate scan validation, Smart Gate automation, DOOH personalization
Performance Tracking
— Training session recording, load scores, wellness tracking, overtraining flags
Facility Scheduling
— Facility bookings, time slots, capacity management, recurring events
Live Scoring
— Real-time scores, event status, stat accumulation
League Management
— League structures, season configuration
Background Job Processing
— Bulk imports, scheduled communications, async analytics
Broadcast Distribution
— Score distribution, graphics overlay, social media
Telemetry
— Real-time performance, heart rate, GPS, wearables
Trade Management
— Player transactions, trade proposals, roster updates
Yield Management
— AI-driven ticket pricing (0.5–2.5× multiplier)
Fan Loyalty
— Fan engagement, points/rewards, tiers
1. AI Insights Engine
| Condition | Target | Notes |
|---|---|---|
| Bridge GPU ≥ 16GB VRAM | Edge rendering | Lower latency, ideal for live sideline use |
| Otherwise | Cloud rendering | Cloud rendering fallback |
| Type | Description | |
| ------ | ------------- | |
| injury-risk | Risk score from metrics + history | |
| performance-prediction | Upcoming event performance forecast | |
| scouting-summary | AI-generated opponent report | |
| tactical-summary | Season-based team strategy analysis | |
| team-insight | Collective team performance insight | |
| overtraining-alert | Load score threshold exceeded | |
| spatial-playcall | 3D holographic play visualization |
2. Gate Management
| Code | Meaning | Action |
|---|---|---|
| admitted | Valid ticket | Unlock gate |
| denied | Invalid signature or unknown ticket | Refuse entry |
| duplicate | Ticket already scanned | Refuse entry |
| void | Ticket voided | Refuse entry |
| wrong-event | Ticket scanned at the wrong event | Refuse entry |
3. Performance Tracking
Aeion Sports records training sessions and computes load scores with trend analysis.
Session Recording:
Each session records RPE (rate of perceived exertion), duration, heart rate, sprint count, and wellness score, and Aeion Sports computes a load score for it automatically.
Load Score Formula:
`
LoadScore = RPE × Duration (minutes)
`
- RPE: Rate of Perceived Exertion (1-10)
- Duration: Session length in minutes
- Example: RPE 8 × 60 min = 480 load score
Week-Over-Week Trend:
Aeion Sports groups sessions by ISO week and tracks, per week: average load score, average wellness score, average RPE, and session count — sorted chronologically so trends are easy to read at a glance.
Overtraining Risk Flagging:
When average load score exceeds a safe threshold across consecutive weeks, Aeion Sports automatically flags the athlete for coach review.
4. Yield Management
| Range | Label | Example |
|---|---|---|
| 0.5–0.7 | Low demand | Bottom-tier matchup, off-season |
| 0.8–1.0 | Normal | Typical regular season |
| 1.1–1.5 | Elevated | Playoff implications |
| 1.6–2.0 | High | Rivalry games, top teams |
| 2.1–2.5 | Premium | Championship, sold-out |
5. Supporting Capabilities
Standings:
- Points-based ranking system
- Win = 3 points, Draw = 1 point, Loss = 0 points
- Automatic position update on game completion
- Head-to-head tiebreaker logic
- League standings by season
League Management:
- League structure management
- Season configuration (start/end dates, format)
- Division and conference setup
- Schedule generation
Live Scoring:
- Real-time score updates
- Event status: scheduled → in_progress → final
- Stat accumulation per player/team
- Score comparison for broadcast
Facility Scheduling:
- Facility booking time slots
- Availability checking
- Participant registration
- Capacity limits
- Recurring event support
- Waitlist when full
Broadcast Distribution:
- Score distribution to broadcast partners
- Graphics overlay data (scores, stats, graphics)
- Social media posting automation
- Audience engagement tracking
Statistics:
- Team and player statistics aggregation
- Historical comparisons
- Performance rankings
- Export to CSV/JSON
- Custom stat calculation
Telemetry:
- Real-time performance data capture
- Heart rate streaming
- GPS location tracking
- Session telemetry
- Wearable device integration
Trade Management:
- Player transaction management
- Trade proposals and acceptance workflow
- Contract implications calculation
- Roster updates on trade completion
Fan Loyalty:
- Fan engagement point system
- Points earning (attendance, purchases, engagement)
- Rewards catalog redemption
- Tier levels (bronze/silver/gold/platinum)
- Engagement tracking
QR payload format: `{base64url(JSON payload)}.{hmacSignature}`
1. On ticket issuance, generate unique ticket number
2. Encode `{ticketNumber, eventId}` as base64url JSON
3. Create a truncated HMAC-SHA256 signature over the encoded payload with a server-side secret key
4. Store ticket with payload
On gate scan:
1. Parse QR into payload + signature parts
2. Recompute expected signature
3. Compare with presented signature
4. If match → validate ticket in DB
5. If mismatch → reject (tampered or counterfeit)
1. Coach requests a playcall
2. Aeion Sports detects the available render target:
- Checks Bridge GPU info via the Bridge hardware API
- 16GB+ VRAM available → renders at the edge
- Otherwise → renders in the cloud
3. Aeion's Neural Bus routes the render request to the selected target
4. The edge GPU or cloud renderer generates the 3D point cloud
5. Output streams to your Apple Vision Pro / WebXR client
Load Score = RPE × Duration (minutes)
- RPE: 1-10 scale of perceived exertion
- Duration: session length in minutes
- Higher load = more fatigue = higher injury risk
Week-over-week trend:
- Group metrics by ISO week (Monday-Sunday)
- Average load scores per week
- Compare consecutive weeks for overtraining detection
Aeion Sports feeds current standings, points, and venue capacity to the AI, which returns a multiplier between 0.5 (low demand) and 2.5 (high demand/rivalry/top teams) along with its reasoning, so your team can see why a price moved. If the AI is temporarily unavailable, Aeion Sports estimates demand from standings positions alone so pricing keeps working without interruption.