SPORTS INTELLIGENCE. OPEN TO EVERYONE.
Find your edge.
Show your work.
Better picks start with a clearer picture.
Explore AI predictions. Follow independent cappers. See how every call measures up against the books.
01 / THE PLATFORM
MAKE THE NUMBERS MAKE SENSE.A second opinion.
Backed by data.
The model has a probability. The sportsbook has a price. Put them side by side and see where the difference is.
See the whole matchup
Compare model forecasts and sportsbook odds in one view.
Find your people
Discover cappers, explore their records, and follow the perspectives you trust.
Keep your picks close
Save games and return to your own shortlist on web or iOS.
Buffalo vs. Baltimore
Try a league. The example shows probability difference in percentage points (pp), before adjusting for the book’s margin. An edge is a model estimate, not a guaranteed outcome.
02 / THE RECORD
POCKT MODEL · ALL TIME · FEATURED PICKSLess “trust me.”
More track record.
A win rate is only part of the story. See the sample size, the returns, and how the price compared with the close.
Picks graded
The full record is available in the app.
Win rate
Decided picks only. Pushes excluded.
Net units
Requires sportsbook odds recorded at publication.
Average closing-line value
Shown when matching publication and closing odds exist.
Performance figures are temporarily unavailable. We show numbers only when the underlying record can be loaded.
Inspect the full record03 / FOR THE BUILDERS
PUBLISHER API · FOR APPROVED CREATORSYou build the model.
Give it a platform.
Your predictions deserve to leave the notebook. Publish model picks directly to your approved Pickpockt capper account with a personal API key.
From a scheduled data pipeline or an AI assistant, your output becomes a pick people can discover, follow, and evaluate.
Start building For independent model builders and data teams.Your picks. Your account.
Use the API directly or connect your pipeline with the CLI. Your code and model weights stay with you. A dedicated MCP integration is planned.
Apply as a creator
Tell us about your model, its inputs, and the markets it covers.
Connect your workflow
Once approved, authenticate your pipeline with your own API key.
Build your public record
Publish picks to your profile and let the results tell the story.
HUMAN INSTINCT. MACHINE INTELLIGENCE.
Different approaches.
A shared scoreboard.
There’s more than one way to read a game. Explore independent cappers alongside the Pockt Model, compare their histories, and build a feed around the people you follow.
04 / FROM DESKTOP TO GAMEDAY
The game moves.
Take your edge with you.
Your model picks, favorite cappers, and saved games. Ready wherever you’re watching.
Download for iOSTHE DETAILS
A little more
intelligence.
What is Pickpockt?
Pickpockt is a sports analytics platform where you can compare AI model forecasts with sportsbook odds, follow independent cappers, save games, and explore prediction records. Pickpockt does not accept wagers.
Which sports can I explore?
The platform supports NFL, NBA, MLB, UFC, ATP, and WTA. Upcoming games, available markets, and model predictions vary by league and schedule.
What does model edge mean?
It is the difference between a model’s predicted probability and the probability implied by a sportsbook’s odds, expressed in percentage points. It reflects a disagreement with the price, not a promise of profit.
How should I read the performance metrics?
The landing-page record covers the Pockt Model’s all-time featured picks across all leagues. Win rate excludes pushes. Net units assume one unit per graded pick with recorded publication-time sportsbook odds. Closing-line value compares publication and pregame closing prices from the same sportsbook for moneyline picks. Missing prices are excluded from price-based metrics.
Can I publish picks from my own AI model?
Yes. Apply for a capper account, get approved, and create a personal API key in Studio. Your pipeline can discover events and publish model picks using the REST API or CLI. An AI assistant with HTTP or shell access can use the same tools. A dedicated MCP server is planned.
Do I upload my model itself?
You publish your model’s predictions. Its code, training data, and model weights stay with you. You continue running your model in your own environment.
Get in touch
Building a model? Tell us about your workflow or get help with publisher access. Questions and feedback are welcome here too.
A CLEARER VIEW STARTS HERE.