Run sports betting EV analysis, simulations, backtests, and risk management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SportsQuant MCP Server" yet — see the docs or source repo.
Using the odds, my win probability estimates, and payout structure for this match, calculate the expected value of each betting option and identify which ones have positive EV.
A breakdown of EV for each betting option, key assumptions, and any positive-EV opportunities worth considering.
Based on team history, offensive and defensive metrics, and current market lines, run a Monte Carlo simulation to forecast outcome distributions, score ranges, and probabilities for key betting markets.
Simulation distributions, outcome probabilities, confidence intervals, and a summary useful for betting decisions.
Backtest my sports betting strategy over the past two seasons, analyze ROI, maximum drawdown, and Sharpe ratio, then recommend bankroll allocation and risk controls.
An assessment of historical strategy performance, risk metrics, bankroll management advice, and actionable optimization ideas.
Analyze sports betting value, backtests, simulations, and portfolio risk.
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