|SF (100) @ Fanduel|
Data Driven MLB play for Saturday: San Francisco Giants
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 biases, 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 Giants in Game 2 of this three-game series in St. Louis. The Giants have averaged 8.2 runs per game over a six-game winning streak, and they won the opener of this series 8-2 on Friday. The Giants took on the Cards and right-hander Dakota Hudson (2-2, 3.16 ERA) on May 8, and won 4-3 with Hudson giving up three runs on five hits and four walks over 4 2/3 innings. As in this game, the Giants had Jakob Junis (1-0, 1.20 ERA) on the mound. Junis has allowed only 10 hits and two runs over 15 innings this year.
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