endzoneapi-skills

Plugin endzoneapi-skills from marketplace endzoneapi in noahowsh/endzoneapi-mcp. Commands read from the repo's manifest — today.

Skills (16)

• backtesting

  Simulates an NFL betting strategy against historical closing lines without lookahead: flat and Kelly staking, ROI, drawdown, bootstrap intervals, and closing-line value against Pinnacle. Use when user asks whether a strategy would have been profitable, to test a system over past seasons, what a seas

• college-football

  Works with EndzoneAPI's FBS (NCAAF) and FCS college football data: games, rankings at kickoff, conference standings, Elo, play-by-play, player lines, and sportsbook lines. Use when user asks about college football, FBS, FCS, a bowl or playoff game, AP or CFP rank, Elo ratings, or college lines and p

• dispatch

  Routes football analytics requests to the right 2-3 skills. Load this FIRST when an NFL, FBS or FCS data or betting-analytics request arrives and you are unsure which skills to activate. Prevents loading all skills when only a few are needed.

• edge-detection

  Compares model probabilities with devigged NFL market prices to estimate edge, expected value and stake size, and tests whether a disagreement is likely real. Use when user asks if there is an edge on a game, whether the model beats the line, expected value of a bet, Kelly sizing, or how to tell val

• endzoneapi-tool

  Router and reference for every EndzoneAPI tool: names, parameters, credit costs, coverage by season, the response envelope, and the college football and FCS endpoints. Use when any football data request needs a tool call, when you need the cost of a call before making it, or when a tool returns an e

• epa-analysis

  Measures NFL team and unit efficiency with expected points added (EPA) per play, success rate, win probability added and situational splits, from play-by-play and team stats. Use when user asks about EPA, success rate, which offense or defense is best, third-down or red-zone efficiency, pass versus

• feature-engineering

  Builds leak-free predictive features for NFL games and players: rolling EPA, opponent-adjusted rates, rest and travel, quarterback changes, Elo, and market-derived inputs. Use when user asks to build features, wants rolling averages, asks what to feed a model, asks about data leakage, or has a model

• game-lookup

  Finds NFL games, scores, schedules, standings and playoff seeding. Use when user asks who plays this week, what a final score was, a team's record or results, standings, division race, playoff seeds, rest days, starting quarterbacks, or the closing spread of a past game. Do not use for odds shopping

• game-preview

  Builds a pre-game preview for one NFL matchup: schedule, form, efficiency, head-to-head, injuries, depth chart, rest, weather and betting lines in one brief. Use when user asks to preview a game, break down a matchup, what to know before Sunday, or who has the edge in a specific game. Do not use for

• next-gen-stats

  Reads Next Gen Stats tracking data and Pro Football Reference advanced stats for NFL passers, rushers and receivers: time to throw, air yards, CPOE, rush yards over expected, separation, cushion, yards after catch above expectation, pressures, drops, bad throws. Use when user asks about separation,

• odds-analysis

  Converts American odds to implied probability, removes the vig (devigging), computes hold, no-vig fair lines, spread and total price conversions, and key-number value for NFL markets. Use when user asks what a price implies, how much vig a book charges, what the fair line is, how to devig a moneylin

• odds-explorer

  Compares NFL spreads, totals and moneylines across sportsbooks, finds the best price, reads opening-to-closing movement, and browses alternate lines. Use when user asks about the line on a game, which book has the best number, how a line moved, Pinnacle versus the consensus, alternate spreads, or ke

• player-scouting

  Searches NFL players and builds scouting profiles from weekly stats, season totals, leaderboards, snap counts, injuries and depth charts. Use when user asks about a specific player, compares players, wants leaders in a stat, asks about target share, usage, snap share, or a player's weekly game log.

• probability-calibration

  Checks and repairs predicted probabilities for NFL outcomes: reliability tables, Brier score, log loss, expected calibration error, Platt scaling, isotonic regression, and sample-size limits. Use when user asks if a model's 65% means 65%, how to calibrate, Brier score, log loss, why a model is overc

• prop-modeling

  Builds NFL player prop models for passing yards, passing touchdowns, rushing yards, receiving yards, receptions and anytime touchdown, using prop history, usage, snap share, game script from the spread and total, and injuries. Use when user asks about player props, whether a player goes over a yarda

• walk-forward-validation

  Evaluates sports models in time order: expanding or rolling windows, season-by-season holdouts, bye weeks and season rollover, baselines, and significance. Use when user asks how to validate an NFL model, whether k-fold is acceptable, why backtest results look too good, how many seasons to train on,

MCP servers (1)

• endzoneapi

  connects to: https://mcp.endzoneapi.com/mcp

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