Market Trading Terminal · RC10
Key risk: Injury or lineup changes (last-minute adjustments)
AI updated 6/30/2026, 7:03:14 AM
Microstructure, quotes, and decision memory
Who contributed to this decision
| Provider | Score | Accuracy | On this market |
|---|---|---|---|
| fincept | 1 | — | Active |
| oryn_db | — | — | Active |
| polymarket | — | — | Active |
| mistral | — | — | Active |
| news | 1 | — | Global only |
| social | 1 | — | Global only |
| economic_calendar | 1 | — | Global only |
| trends | 1 | — | Global only |
| google_trends | 1 | — | Global only |
| pricing_ensemble | 0 | 46% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
50%
ORYN Consensus
50%
Signal Score
0.0
Opportunity
0.0
Graph Relationships
Related markets and connected predictions
correlates · strength 60%
correlated market
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Diverse Time Horizons: The markets exhibit a range of timeframes, from short-term athletic outcomes and commodity price movements to multi-year geopolitical scenarios.
correlates · strength 60%
Domain Divergence: The markets span distinct subject areas including professional sports (baseball), geopolitics (Strait of Hormuz, Russian leadership), technology platform growth, and global commodities (crude oil).
correlates · strength 60%
Lack of Direct Thematic Interdependence: There are no apparent direct causal or correlational relationships between a baseball player's home run performance and global geopolitical events or commodity market movements.
correlates · strength 60%
Varied Forecasting Methodologies: Each market necessitates different data inputs (e.g., player statistics, geopolitical intelligence, economic indicators) and specialized analytical frameworks for accurate prediction.
Simulated execution for this market
Quality score
50/100
Fill rate
100%
Executions
112
Avg slippage
5414 bps
Open positions
0
Latency
520ms
Platform-wide model improvement
Events
1,834,851
Trades learned
112
Strategies
4
Providers scored
9
Counterfactual strategy simulations
No replay comparisons for this market yet. Replay runs as markets resolve and accumulate snapshots. Replay lab →
MEDIUM
EV 0.0¢
Entry: 47-53
—
Resolution
13h
Decision snapshots
0
Price history
1 points
In the upcoming MLB game between the New York Mets and Toronto Blue Jays, scheduled for June 30 at 7:07 PM ET: This market will resolve to "Over" if Ronny Mauricio records more than 1.5 home runs during the game. This market will resolve to "Under" if Ronny Mauricio records less than 1.5 home runs during the game. The entire game including all extra innings will be considered. If the player is listed as inactive or otherwise does not take the field at any point, the market will resolve to "Under". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. To know when a postponed game will be played, please check the home team's schedule on MLB.com for the listed team and look for the game described as a makeup game. The primary resolution source for this market is the official final statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 24 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Crowd-implied vs ORYN AI fair value over time, with decision markers
The market for Ronny Mauricio's home runs over/under 1.5 in the June 30 Mets vs. Blue Jays game is balanced at 50%, reflecting equal probability of over or under based on current data. The market is highly dependent on Mauricio's lineup position and pitcher matchup.
Mauricio has shown recent form with power potential, including a 3-run homer on June 25. The Blue Jays' rotation features pitchers with high home run rates (e.g., 4.2 HR/9 in 2024), increasing the likelihood of extra-base hits. A favorable lineup spot (e.g., 3-5) could further boost his opportunities.
Mauricio has struggled with consistency, batting .220 with 5 HR in his last 50 ABs. The Mets' rotation includes pitchers with low home run rates (e.g., 3.8 HR/9 in 2024), reducing power-friendly matchups. Defensive adjustments (e.g., shift) or bullpen usage could limit his production.
Regime: — · Confidence: 0%
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