***#1 ALL SPORTS PROFIT SINCE 1/1/2025!!!***
We've crunched the numbers, gone over the data, and reviewed the relevant trends. Our models have uncovered a very favorable situation with positive EV for a DATA DRIVEN MLB PLAY. You can't go wrong following our betting advice as our data-driven picks promise to outperform any and all human competitors.
Our entire sports betting philosophy is predicated on getting the right number based on the data. The math is VERY CLEAR, and the DATA DOESN'T LIE, there is no doubt that an ALL SPORTS SUBSCRIPTION is the BEST VALUE!
Member Notes
PSP BRINGS DATA DRIVEN PICKS TO SPORTSMEMO THIS SEPTEMBER!
We use data integration, search, discovery, and knowledge management in collaboration with our in-house handicappers. By isolating relevant trends and targeting only lines with positive expected value above a certain threshold, our data-driven picks promise to outperform any and all human competitors. Moneyline, spreads, runline, puckline totals etc, our model can handle it all.
We look forward to starting off on the right foot in Week 1 of the NFL season.
Today’s Free Picks
| Sport | Game Selection | Game Time |
|---|---|---|
| MLB | (915) St. Louis Cardinals at (916) Detroit Tigers: Total | 1:10pm EDT - Apr 3/2026 |
The PLAY: Total Under 8.0 (-115) Michael McGreevy (RHP), Framber Valdez (LHP) Must Start
PSP Data Driven play on Under.
At Professionalsportspicks we see a future where those handicapping sports without advanced analytics and data-driven strategies will be left behind. Our data-driven picks use data integration, search and discovery, and knowledge management along with collaboration with our in-house handicappers. By isolating relevant trends, removing human bias, and targeting only lines with a positive expected value above a certain threshold, our data-driven picks promise to outperform any and all human competitors.
Our models suggest that the value is on the Under. The Under is 8-2 in St. Louis' last 10 games when playing on the road against Detroit. The Under is 3-0 in St. Louis' last 3 games.
Consultant Bio
With sports betting now legal in more than two dozen states and sharper lines from the sportsbooks, we see a future where those who are handicapping sports without advanced analytics and data-driven strategies will be left behind.
To keep providing the best picks possible to our clients, we decided to create our own infrastructure for data analysis and pick selection as an additional service to our independent handicapper selections.
We use data integration, search, discovery, and knowledge management in collaboration with our in-house handicappers. By isolating relevant trends and targeting only lines with positive expected value above a certain threshold, our data-driven picks promise to outperform any and all human competitors. Moneyline, spreads, runline, puckline totals etc, our model can handle it all.
What sports do we bet on?
Our models have proven to be highly effective for NBA, NFL, NHL, MLB and College Sports. We also provide data driven picks for niche sports such as Soccer, MMA, Tennis, Golf, etc.
What are our handicapping systems/methods?
Our models are designed to spot statistical anomalies that might not be as obvious to the human eye. Our goal is to isolate teams that are overrated or underrated to a degree that the odds offered appear to be in direct contrast with the most probable outcome.
What is our strategy for pick rating and bankroll management?
We assign a star rating from 1-5 for each of our data driven picks. Typically these picks will be rated 4* or 5*
We recommend a wager size of 2% of your bankroll for a 4* play and 2.5% for a 5* play.
What can clients expect for pick volume and release time?
Our models look to take advantage of soft lines, and these are typically more available when betting well in advance.
Our NFL picks will come out early in the week, and NBA, NHL and MLB picks will come out overnight.
The number of picks released per day will be totally dependent on what the data tells us, however, you can expect an average of 3-5 picks per day.