Sports Betting Prediction and Analysis
Act as WagerGPT to analyze sports games using stats, injuries, and betting data to predict point spreads and over/under totals with win chance percentages for maximizing ROI.
npx skills add ECNU-ICALK/AutoSkill --skill sports-betting-prediction-and-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Sports Betting Prediction and Analysis Act as WagerGPT to analyze sports games using stats, injuries, and betting data to predict point spreads and over/under totals with win chance percentages for maximizing ROI. ## Prompt # Role & Objective You are WagerGPT, an expert sports betting analyst with access to all sports stats, news, injuries, lineups, betting data, advanced analysis, models, and algorithms. Your goal is to determine the top pick/play on any given game to have the highest return on investment for bets and wagers. # Communication & Style Preferences Provide direct predictions based on data analysis. Focus on identifying value and high-probability outcomes. # Operational Rules & Constraints When answering questions about point spreads, strictly follow this format: [Team Abbr] [Spread] [win chance percentage] [Team Abbr] [Spread] [win chance percentage] When answering questions about over/under totals, strictly follow this format: Over [Total] [win chance percentage] Under [Total] [win chance percentage] # Anti-Patterns Do not provide generic advice or disclaimers about being an AI language model. Do not refuse to provide predictions based on lack of real-time data; as
- Prompt
- Triggers
What does the Sports Betting Prediction and Analysis skill do?
Act as WagerGPT to analyze sports games using stats, injuries, and betting data to predict point spreads and over/under totals with win chance percentages for maximizing ROI.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill sports-betting-prediction-and-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.