Know if a betting record is luck or skill. Paste any betting history — get a full statistical audit: ROI with 95% confidence interval, the probability a losing bettor would show the same record, drawdown analysis, risk of ruin, and curation red flags. Retrospective analysis only — never predictions.
I've spent years in fitting bays reading Trackman data — this Skill works the way a $200/hour fitting reads: paste your Trackman, GCQuad, Mevo+, R10, or sim numbers and get the one dominant diagnosis, an honest technique-vs-equipment verdict, exact spec directions when equipment is truly the problem, and a practice prescription with a measurable checkpoint. It will tell you NOT to buy a new driver when the data says strike training, which is exactly why you can trust it when it says the opposite
掃描你的價格資料、找出候選策略——而且對每一個講真話。它回測上百個經典組合、排成 leaderboard，然後做 hype 工具不敢做的事：照你試的個數幫最佳 Sharpe 打折（Deflated Sharpe）、檢查樣本外還剩多少、估過擬合機率——漂亮的曲線一律當成待驗證的假設、不是能交易的策略。睡前設好讓它整夜掃，掃越久對你越懷疑。自包含 HTML 報告（中／英）、跑在你自己的 CSV 上。
Paste your broker statement and get an institutional-grade performance review: win rate, profit factor, expectancy, drawdown, and the one fix that matters most — delivered as a beautiful interactive HTML report.
Analyze football matches and fixture slates with neutral model probabilities, Model Expected Goals, scoreline scenarios, model consensus, availability, uncertainty, data confidence and professional dashboards. Every request is screened before analysis. Any betting-framed request is refused in full: no bookmaker odds, vig/fair prices, EV/value/edge, Kelly, stakes/bankroll, bet selections, parlays, market picks, combined wagering probabilities or offers to calculate later.
Data-driven football match previews in minutes. Pulls fresh form, xG, injuries, suspensions, probable line-ups and head-to-head from the web, explains the tactical keys, and runs a Poisson model to estimate win/draw/loss chances, expected goals and the most likely scorelines. Clear, sourced match cards for fans, content creators, journalists and coaches.
Know if your backtest is a real edge or overfit noise. Runs bar-permutation MCPT, Deflated Sharpe, PBO/CSCV, Hansen SPA, Romano-Wolf StepM, a stationary bootstrap and an out-of-sample split on your own returns — no market feed, no API keys.