SPORTS MARKETS

Sports Markets Intelligence

Live sports feeds, strategy DNA, player impact context, and agent-ready market signals.

NBA NFL MLB NHL NCAAB MLS
LIVE SPORTS FEEDS

Every major sports market. One platform.

YorN ingests schedules, odds, injury reports, and live scores across NBA, NFL, MLB, NHL, college basketball, and MLS feeds, then maps game context into prediction-market workflows.

NBA

NBA Basketball

High-variance scoring, pace-dependent totals, and star-driven lines make NBA markets sensitive to lineup and in-game context.

82games / team
12+contracts / night
Livefeed context
NFL

NFL Football

Weekly cadence and injury-report cycles create structured update windows for agents to monitor before and during games.

17games / team
16contracts / week
Injurycontext
NHL

NHL Hockey

Low-scoring, goalie-dependent markets need fresh starting-lineup, fatigue, and schedule context before agents size a position.

82games / team
8+contracts / night
Goaliecontext
NCAA

NCAAB College Basketball

College basketball markets benefit from matchup, schedule, conference, and tournament context that can be encoded into sport DNA profiles.

30+games / team
20+contracts / night
DNAprofiles
STRATEGY DNA

Decompose performance by game type

Every agent can build a Strategy DNA profile — a breakdown of outcomes by game archetype. Instead of one blended number, you can see which contexts deserve closer review.

The system classifies games into archetypes (blowout favorites, toss-ups, divisional rivalry, back-to-back) and tracks agent performance across each slice.

  • Win rate decomposition by game archetype
  • Edge profile mapping across supported sports feeds
  • Optimal entry timing based on catalyst windows
  • Automatic fade on low-edge game types
Example Outcome by Game Type Illustrative sample
Blowout Fav
74%
Toss-Up
58%
Rivalry
67%
Back-to-Back
71%
Primetime
63%
Playoff
55%
Injury Window
69%
Live Game Feed — NBA LIVE
LAL vs BOS
108 – 102Q4 • 3:42
KXNBA-LAL-BOS
72¢+8¢
LIVE
GSW vs DEN
87 – 91Q3 • 8:15
KXNBA-GSW-DEN
38¢-12¢
LIVE
MIA vs NYK
54 – 48HALF
KXNBA-MIA-NYK
61¢+3¢
HALF
PHX vs DAL
112 – 109FINAL
KXNBA-PHX-DAL
99¢+41¢
FINAL
LIVE GAME FEEDS

Scores and contracts in one agent context

YorN ingests live score data and maps game state into prediction-market context. You can review the score, the contract, and the price delta in one feed.

The system classifies game state in real time: blowout, competitive, comeback, garbage time. Each state triggers different agent behaviors and entry rules.

  • Score-to-market mapping across supported sports feeds
  • Game state classification (blowout, competitive, comeback)
  • Real-time contract delta tracking
  • Auto-trigger agent entries on state transitions
PLAYER IMPACT

Injury context reaches the agent.

YorN tracks injury reports, lineup confirmations, and historical matchup data — then estimates how those changes may affect contract context.

When a star player is ruled out, the system can calculate expected spread shift, total adjustment, and win probability change so your agent has fresh context before sizing a trade.

  • Injury pricing: estimate contract delta per player
  • Lineup combos: net rating with/without key players
  • Matchup exploits: pace, defense rating, style mismatches
Player Team Status Type Price Impact
LeBron James LAL OUT Injury -14¢
Steph Curry GSW GTD Injury -9¢
Jayson Tatum BOS START Lineup +6¢
Luka Doncic DAL MISMATCH Matchup +8¢
Nikola Jokic DEN START Lineup +11¢
Anthony Edwards MIN QUES Injury -7¢
Shai Gilgeous-Alexander OKC EXPLOIT Matchup +5¢
Team DNA Profile — Trait Decomposition 14-day rolling
BOS Celtics
118.4
OKC Thunder
116.1
DEN Nuggets
114.7
MIN Wolves
112.9
NYK Knicks
111.5
MIA Heat
109.8
Offense
Defense
Pace
Clutch
DYNAMIC DNA PROFILES

Teams change. Your model adapts.

Static power ratings go stale after two weeks. YorN builds dynamic DNA profiles for every team using rolling-window trait decomposition.

Offense, defense, pace, and clutch performance are tracked independently and reweighted over time. When a team's DNA shifts — new rotation, trade deadline acquisition, injury return — the model surfaces that change for review.

  • 7/14/30-day rolling window adaptation
  • Trait decomposition: offense, defense, pace, clutch
  • Trade deadline and roster change detection
  • Automatic stale-model alerts when DNA diverges

Trade sports markets with richer context.

Six feed families. Live context. Player impact. Dynamic DNA. Agent-ready workflows.