About Us
This translation is for convenience only; the Traditional Chinese version prevails.
about Us
Who we are
PitchCopilot (Nine Chapters Juce) is a sports quantitative research platform for FPL fantasy league players and sports self-media creators. We integrate event data, market-implied pricing, calibration models, manual review and public performance into a traceable publishing process, allowing readers to understand event context, model perspectives and long-term performance in one place.
Our content positioning is data research, editing and publishing, rather than immediate instructions. The platform uses research languages such as asset weight allocation, virtual points and actuarial premium rates to compare model assumptions, confidence levels and calibration quality. If you are a new reader, we recommend starting with /guides and then reading /methodology and /faq.
Our Mission
We hope to lower the threshold for reading sports data so that FPL players will not only rely on subjective narratives, but also allow creators to reference more transparent structured data. Each report should answer three questions: where does the data come from, why does the model make the judgment it does, and how to check it afterwards.
This mission requires the platform to be publicly scrutinized. Hits and misses will be entered into /performance, and the model version will also leave context as the method is adjusted. Short-term results can be discussed, but long-term calibration is the foundation of trust.
Methodology Summary
PitchCopilot's research process starts with game data and public market signals, collates market implicit pricing, data premium baselines and team backgrounds, and then uses a calibration model to estimate game distribution. Model output will not be published directly; administrators will check the data completeness, tone, compliance statements, settlement definitions, and internal links to confirm that the content is suitable for disclosure before going online.
After release, the results of the event will be settled according to the prior rules. Public performance will display core configuration, secondary configuration, Brier score, hit rate, virtual point research and version information. See /methodology for a complete description.
Data sources and manual review
We build our research base using match results, team data, league background, open market signals and manually compiled information. Sports data may contain delays, corrections, or contextual gaps, so manual review is necessary. If there is insufficient data, the report may be downgraded to observation, delayed release, or restricted.
If readers find data problems, they can contact us through /contact and provide the page, event and specific description. We prioritize returns that affect public reporting, performance settlements or compliance representations.
Transparency and model version
PitchCopilot treats models not as black-box oracles, but as iterative research tools. When the model version changes, it may represent adjustments to features, weights, calibration methods, or release thresholds. Readers should pay attention to version differences and sample windows when comparing performance across different periods.
We put this information into public content so that creators and players can quote it responsibly, rather than just seeing a single result. Transparency also helps teams fix models from errors.
Commitment to readers
We promise to limit the content to sports quantitative research and information publishing, and try to use clear language to explain what the model can and cannot do. If there are uncertainties in the report, they should be disclosed in the article; if the model version changes, readers should be allowed to return to the performance page to understand the impact; if there are errors in the data, the reports should be accepted and corrected.
PitchCopilot's long-term value doesn't come from single-field results, but from repeatable processes. Readers can examine sources, reading methods, track performance, compare versions, and determine whether the research meets their own use needs.
Compliance Statement
The content of PitchCopilot is only for reference in sports quantitative research, FPL virtual point allocation and creation, and does not constitute investment advice, financial advice or any real asset arrangement. The virtual capital pool and asset weight allocation are research expressions and do not represent a return commitment.
We avoid misleading language and maintain content quality through manual review. If you have questions about product positioning, data use or cooperation, please read /faq or contact us through /contact.
This translation is for convenience only; the Traditional Chinese version prevails.