Market Trading Terminal · RC10
Key risk: match_cancellation_delay
AI updated 6/29/2026, 11:22:19 PM
Microstructure, quotes, and decision memory
Who contributed to this decision
| Provider | Score | Accuracy | On this market |
|---|---|---|---|
| fincept | 1 | — | Active |
| mistral | — | — | Active |
| polymarket | — | — | Active |
| oryn_db | — | — | 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 | 21% | 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
Related markets and connected predictions
Simulated execution for this market
Quality score
49/100
Fill rate
100%
Executions
125
Avg slippage
4486 bps
Open positions
0
Latency
565ms
Platform-wide model improvement
Events
12,367,148
Trades learned
125
Strategies
5
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
Past
Decision snapshots
1
Price history
1 points
This market refers to the tennis match between Shinji Hazawa and Koki Matsuda in the ITF Tokyo, originally scheduled for June 29, 2026 at 11:30PM ET. This market will resolve to "Over" if the total number of games completed across all sets equals or exceeds 24. Otherwise, it will resolve to "Under." All tiebreaks—including any Champions/Super tiebreak—count as one (1) game toward the total. If the match begins but is not completed, this market will resolve 50-50. If the match is canceled before play begins or delayed beyond 7 days from the scheduled date without a result, this market will also resolve 50-50. Resolution will be based on official ITF statistics.
Crowd-implied vs ORYN AI fair value over time, with decision markers
The Hazawa vs. Matsuda tennis match O/U 23.5 market is evenly split at 50%, reflecting uncertainty in match duration. Resolution hinges on total games played, with tiebreaks counting as one game each.
Hazawa and Matsuda are known for aggressive baseline play and long rallies, increasing the likelihood of an over outcome. Historical ITF Tokyo matches average 24+ games, supporting the over scenario.
Both players are consistent servers with first-serve percentages above 60%, which could lead to shorter games and fewer total games played. Weather or fatigue may also truncate the match.
Regime: — · Confidence: 0%
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