Every morning, SharpPicks wakes up before you do. By the time you check the app, the system has already pulled fresh lines from six major sportsbooks, run them through a four-model ensemble, and decided whether any game on tonight's slate is worth your attention.
Here's what that actually looks like, step by step.
Step 1: Line Collection
Three times a day, the system pulls the best available spread, total, and moneyline from DraftKings, FanDuel, BetMGM, Caesars, PointsBet, and BetRivers. It doesn't use an average -- it uses the best available number for each market. If DraftKings has +7.5 and FanDuel has +8, the system uses +8. You should too.
Step 2: Feature Engineering
Each game gets analyzed across 56 features. These include scoring differentials, defensive efficiency, pace, rest days, home/away splits, and recent form windows. None of these features are exotic. The edge isn't in having secret data -- it's in how the models weight them together.
Step 3: The Ensemble
Four models vote: Gradient Boosting, Random Forest, XGBoost, and AdaBoost. Each one sees the same features but processes them differently. The ensemble blends their outputs, then applies a 30/70 shrinkage toward the market line. This is important -- the model respects the market. It just thinks the market is sometimes wrong by a few points.
Step 4: The Discipline Filter
Raw edges pass through the filter. Anything below 3.5% adjusted edge gets cut. Spread magnitude caps are enforced regardless of edge size. What survives is a signal. What doesn't is labeled "passed" and shown on the Market Board so you can see exactly what the model considered and rejected.
Step 5: Your Phone Buzzes
If signals survive the filter, you get a push notification. Open the app, and you see the pick, the edge, the quant reasoning, and the cover probability. No fluff, no narrative, no "lock of the day." Just the math and what it says.
The entire pipeline runs without human intervention. I don't override it. I don't add picks. I don't remove picks. The system is the system.