For Sunday’s MLB slate, PRO Systems and Bet Labs deliver sharp insights using backtested trends.
By leveraging proprietary betting models, PRO subscribers gain an edge in moneyline and over/under markets, capitalizing on patterns and situational smash spots.
Let’s dive into two compelling matchups featuring the Orioles vs. Rays and the Angels vs. Phillies for MLB Sunday, with premium picks on both games.
MLB Odds: Data-Fueled Moneyline, Over/Under Predictions for 7/20
Orioles vs. Rays Pick for Sunday
First up, the Rays host the Orioles at 12:10 p.m., where pitching and weather conditions factor heavily into the edge. Trevor Rogers gets the start for Baltimore opposite Ryan Pepiot.
Tampa Bay is a short home favorite at open, with an over/under at 8.5 or 9.
Our “Unders with Soft Starters and Neutral Winds” PRO System pings games with softer home starting pitchers—those boasting lower strikeout rates and moderate WHIP—especially in games three or four of a series.
By this stage, hitters have adjusted, leading to more efficient at-bats but muted scoring. The PRO System removes games with strong directional winds, which can inflate run production, ensuring a more neutral environment.
Historically, these spots have produced a 60% win rate for the under – and Rays vs. Orioles pitching, odds and weather all fit the bill for MLB Sunday.
PRO System Pick: Rays vs. Orioles Under
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Angels vs. Phillies Pick for Sunday
Shifting focus to a moneyline play, the “Road Dog (Interleague)” PRO System highlights a smart pick on the Angels to beat the Phillies.
Since 2016, road underdogs in interleague play have won about 43.3% of games – not an eye-popping number on the surface, yet a sustained, positive ROI of roughly 4.6% over five consecutive seasons.
This trend gains a big edge on these clubs, likely due to the unfamiliarity between American and National League matchups and public bias favoring home or favorite teams.
PRO System Pick: Angels Moneyline
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Our PRO signals flag far more great picks than our staff could author each day — that’s where Action AI comes in. Using generative AI, signals that hit a high-grade threshold are written up into articles that are then vetted and edited by a human to help us get you all the sharp action. Read more about how it works here.