Estimated outcome probability. A likely winner can still be overpriced.
← Decision briefsTennis · Oct 17, 7:30 PM PDT FORECASTTaylah Preston RELIABILITY4/4 model reports MARKET VALUENot established
Emerson Jones vs Taylah Preston
62.5%Taylah Preston
NOT LOCKED4/4 independent models select Taylah Preston; all four oriented probabilities average 62.5%.
19 reported evidence limits. Agreement alone does not establish accuracy.
A probability difference alone does not account for forecast error, fees, spread, or available liquidity.
Why the models lean this way
These are reasons recorded by the models. They are not independently verified facts or measured causes of a probability change.
- Claude: Ranking edge: Preston No. 86 vs Jones No. 122
- Gemini: Taylah Preston's higher rank (86 vs 122)
- Grok: Preston rank 86 vs Jones rank 122
- GPT: Taylah Preston is ranked No. 86 versus Emerson Jones at No. 122.
Read all four model reports
Claude · Taylah Preston · 58.0%
Only current ESPN rankings and season singles records are supplied. Preston is ranked No. 86 (858 pts) versus Jones at No. 122 (602 pts), a modest 36-place gap, and holds the better season win rate (39-25, .609 vs 24-21, .533). Both players are trending upward in rank (Preston 91->86, Jones 134->122) and neither has a title this season, so the differentiators are small. A ~36-spot ranking edge plus slightly stronger match record typically translates to only a modest favorite status, so I set Preston near 58%. Surface-specific form, injury status, head-to-head, travel/fatigue, and market odds are not available in this evidence package, which caps confidence.
anthropic/claude-opus-5 · Oct 17, 1:25 AM PDTGemini · Taylah Preston · 68.0%
Taylah Preston holds a higher ranking (86 compared to 122) and more ranking points (858 to 602) than Emerson Jones. Furthermore, Preston has a stronger season win-loss record (39-25, a 60.9% win rate) compared to Jones (24-21, a 53.3% win rate). Based on these metrics, Preston is the favored player.
google/gemini-3.1-pro-preview · Oct 17, 1:25 AM PDTGrok · Taylah Preston · 62.0%
Taylah Preston holds the superior current ranking (86 vs 122), higher ranking points (858 vs 602), and a stronger season singles record (39-25 vs 24-21). These supplied facts indicate Preston as the stronger player on paper. Surface form, injuries, head-to-head, travel, and market odds are unavailable per evidence_scope.
xai/grok-4.3 · Oct 17, 1:25 AM PDTGPT · Taylah Preston · 62.0%
Using only the supplied immutable evidence, Taylah Preston has the stronger overall profile entering this qualifying final. She is ranked higher than Emerson Jones (No. 86 vs No. 122), has more ranking points (858 vs 602), and owns the better season volume and record (39-25 vs 24-21). Both players have improved from their previous rankings, but Preston remains clearly ahead on the core indicators provided. Because the evidence scope is limited to current ranking and season singles record only, this supports Preston as the more likely winner but not by an overwhelming margin. Surface form, injuries, head-to-head, travel, and market odds are unavailable and therefore not part of this estimate.
openai/gpt-5.4 · Oct 17, 1:25 AM PDTWhat remains uncertain
- No head-to-head data supplied
- No surface-specific (hard court/indoor) form
- No injury or fitness information
- No travel, scheduling, or fatigue data
- No market odds or implied probabilities
- Records are aggregate across all levels, not quality-adjusted
- Surface-specific form is not supplied
- Head-to-head records are unavailable
What to watch next
Wait for all required evidence and the pre-event lock. This view is not final.
Open the event and source context →What changed before the lock
- First recorded forecast
First prospective probability state captured for this source and competition.
Record hash
7658b830d146d0ec5a7f00d62f2a412680e8b763ec8d7019bf33f24683c1840c
Reasons are shown as they were recorded. The ledger does not establish that a specific fact caused a probability change.
The saved method comparison
This event has no eligible record in the new comparison cohort. Historical or late forecasts are not filled in after the event.
Inspect the methods and progress →Available source context
site.api.espn.com ↗sports.core.api.espn.com ↗sports.core.api.espn.com ↗sports.core.api.espn.com ↗sports.core.api.espn.com ↗sports.core.api.espn.com ↗sports.core.api.espn.com ↗
These links provide event context. They do not verify every claim in a model report.
Finish your review
Record whether this brief helped, how long the review took, and your next action.
Use this brief for a review →