AI sports research guide

How to use MonsterGPT for sports picks, projections, and market research.

MonsterGPT is Monster's conversational sports-research workspace. Ask a question in plain English, focus the analysis on a game, team, or player, and review the prices, probabilities, projections, and reasoning behind the response.

MonsterGPT workspace with chat history, daily model picks, and an AI sports research prompt box

Product overview

What MonsterGPT helps you review

Ask sports-pick and matchup questions in plain English.
Focus a prompt on a specific game, team, or player with the @ picker.
Review model probability, market price, projected edge, and written analysis together.

Best fit

Who this tool is for

  • Sports bettors who want a faster first pass across a slate.
  • Users who want model outputs explained in conversational language.
  • Researchers who want to compare a first answer with follow-up questions and live prices.

Step-by-step workflow

How to use MonsterGPT

Use the interface in this order so the output stays connected to the current market and your own decision process.

  1. 1

    Start from the MonsterGPT workspace

    Your chat history appears on the left, so you can return to previous questions without rebuilding the context. The center of the page shows MonsterGPT Locks: current model picks organized by estimated probability and supporting market context.

    Locks are a research shortcut, not a substitute for reviewing the full card. Open the analysis and confirm the listed market price before relying on the displayed edge.

  2. 2

    Ask one specific question

    Use the prompt box to describe the sport, event, player, market, timeframe, and decision you are researching. A focused question gives MonsterGPT a clearer target than a broad request for today's best bet.

    Useful prompts ask for the supporting projection, current price, opposing case, and the assumptions that could change the answer.

    MonsterGPT prompt box for asking sports picks, edge, or analysis questions
  3. 3

    Use @ to focus on a game, team, or player

    Enter @ in the prompt box to open the focus picker. Select the relevant game, team, or player so the conversation stays tied to the subject you already have in mind.

    The focus picker is especially useful when names are shared across leagues or when you want to prevent unrelated slate results from entering the response.

    MonsterGPT @ focus picker listing games, teams, and players
  4. 4

    Review the answer, not just the pick

    A useful response should connect the recommendation to the relevant matchup data, model probability, market price, projected edge, and risk factors. Read the explanation and identify what would invalidate it.

    Then challenge the first answer. Ask what supports the other side, whether a different price changes the conclusion, and which injury, lineup, or market update matters most.

    Example focused MonsterGPT prompt asking for a sports pick and analysis
    Example MonsterGPT response with pick, market context, and written reasoning
  5. 5

    Build and verify a parlay request

    You can ask MonsterGPT to combine multiple researched legs into a parlay idea. Specify the sport, number of legs, risk preference, and whether you want correlated outcomes avoided.

    Check every leg independently after the response. Prices can move, players can be ruled out, and correlation can change the offered payout or cause a sportsbook to reject the combination.

    Example MonsterGPT prompt requesting a multi-leg sports parlay
  6. 6

    Use the same workflow across supported sports

    MonsterGPT can support research across the sports currently available in Monster. The workflow stays the same: define the question, focus the subject, review the evidence, challenge the result, and confirm the live market.

    • MLB, NFL, college football, college basketball, and college baseball
    • NBA, WNBA, NHL, soccer, and UFC
    • Golf and tennis

AI analysis is a starting point, not a guaranteed outcome

MonsterGPT responses depend on the available data, prompt, model assumptions, and market snapshot. Injuries, lineups, prices, and other inputs can change after an answer is generated, so confirm time-sensitive details yourself.

Decision checklist

What to check before making your own decision

  • Did the prompt identify the exact event, market, and timeframe?
  • Does the response explain the probability and price?
  • Have you asked for the opposing case?
  • Is the underlying data still current?
  • Does the live price still support the analysis?

FAQ

Common MonsterGPT questions

What is MonsterGPT?+

MonsterGPT is Monster's AI-powered sports and prediction-market research assistant. It helps users ask questions in plain English and review the context behind an answer.

How do I get a more useful MonsterGPT answer?+

Name the sport, event, player, market, timeframe, and decision you are researching. Ask for the evidence, price sensitivity, and strongest opposing case.

What does @ do in MonsterGPT?+

The @ picker focuses the prompt on a specific game, team, or player so the response does not have to search unrelated subjects.

Does MonsterGPT place bets automatically?+

No. MonsterGPT helps research and prepare a decision. You remain responsible for reviewing the current market and confirming any action.

Informational analytics only

Use the tool as research, not a guarantee.

Predictions, projections, signals, rankings, and AI outputs are informational and may be incomplete or change as markets update. They do not guarantee an outcome or future performance. Confirm current prices, rules, eligibility, and risk before acting.

Keep learning

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Open the product overview or compare Monster plans before entering the app.