AI-powered player prop research
Stop Guessing.Start Winning.
Propeller’s sport-specific AI analyzes matchup, usage, injuries, market odds, and recent form—then shows what drives every confidence score. You see the signal. You make the call.
Free access · Analysis only · Model outputs are not guarantees
The real Propeller workspaceLive MLB board · captured July 12, 2026
01 / See what drives every score
Signals go in.
Reasoning comes out.
Propeller does not rely on one generic answer. Each sport uses its own data, weights, and specialists before the ensemble produces a directional confidence score.
Context decides the weight.
NBA usage is not MLB ballpark context. Each sport emphasizes what matters.
Independent inputs combine.
Missing data is excluded instead of diluting a strong signal.
A score you can inspect.
Direction, confidence, supporting signals, and counter-signals.
02 / From model to decision
The AI is only useful if you can use it.
Research the full board on desktop, inspect every signal, and carry saved props and scores with you on mobile.
Open the full research workspace →Scan the strongest signals first
Sort the slate by confidence, direction, sport, market, and platform.
Open the reasoning behind the score
See model support, counter-signals, line context, and recent performance.
Keep the workflow moving
Save props, build combinations, track outcomes, and check changes on mobile.
Same pick · full desktop analysis
03 / Evidence before the pitch
Every featured pick. One honest unit.
ROI starts with a clean forward record—not the historical archive. Each eligible top pick is frozen before its event, graded afterward, and measured as a flat one-unit result at the exact captured price.
Audit the forward record →04 / The useful questions
Know what the system is—and what it is not.
Direct answers about the product, the public record, and how desktop and mobile fit together.
Is Propeller a sportsbook?
No. Propeller is a research and analysis tool. We do not accept wagers or place bets for users.
What does the record include?
The public archive has two units: raw graded analysis rows and entries retained after the current API collapse rules. It includes repeated snapshots and legacy retrospective data, so it is not a uniquely published forward-test or ROI record.
Why desktop and mobile?
The desktop web app is built for deeper slate research. Mobile is for quick checks, saved props, alerts, and digest workflows when you are away from the desk.