PrizePicks, Sleeper & Underdog Cheat Sheet: Best More/Less Picks Today for MLB (August 4)

We’re bringing back the weekend PrizePicks, Sleeper and Underdog Cheat Sheet, where we provide today’s best PrizePicks, Sleeper and Underdog Fantasy predictions for MLB action — completely free! Leveraging our pick’em tools and industry-leading projections, we’ll highlight the best “more” and “less” plays for MLB on PrizePicks, Sleeper, and Underdog, based on their chances of success. Keep in mind that these selections are a great starting point, but the highest-ROI entries often involve more than just a few picks. Now let’s dive into today’s Cheat Sheet for August 4!

MLB PrizePicks, Sleeper & Underdog Cheat Sheet Today

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MLB Pick’em Cheat Sheet Today

Best PrizePicks MLB More/Less Picks for Today’s Slate:

PlayerStatSideProj.Win%
Mitch HanigerTotal BasesMore Than 0.51.352
Griffin CanningStrikeoutsLess Than 4.53.755

Best Sleeper Fantasy MLB More/Less Picks for Today’s Slate:

PlayerStatSideWin% (Multiplier)
Justin SteeleEarned RunsMore Than 2.544 (2.08x)
Miles MikolasPitching OutsLess Than 17.549 (2.07x)

Best Underdog Fantasy MLB More/Less Picks for Today’s Slate:

PlayerStatSideWin%
Jose QuintanaStrikeoutsMore Than 4.552
Brandon NimmoTotal BasesLess Than 1.555
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Easily generate a lineup pool that closely matches the projected ownership for your chosen slate. Compare each player’s projected ownership with their actual ownership within your custom pool. Adjust the pool to your preferences using the “Boost Ownership” arrows for each player.

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Simulate various scenarios to evaluate your competitors’ lineups and potential outcomes, identifying high-ROI lineups in just minutes. Each lineup is processed through our proprietary simulation software, replicating a real DFS contest. After each simulation, lineups are awarded prize payouts, and this process is repeated thousands of times. As a result, each lineup is assigned a simulated ROI percentage along with other key metrics.

MLB Post-Contest Simulator

Reviewing your lineups is essential for long-term success. Rather than relying solely on actual results, use simulations to create valuable feedback loops. Analyze the simulated ROI of every lineup in the field and compare users’ average lineup projections and ownership to identify the most successful strategies. Track how user ROI shifts across different contests to determine the most profitable ones and spot those to avoid.

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Author
Sam Smith is a writer and editor with Stokastic and OddsShopper. He has been immersed in the world of professional sports data since 2015, while also writing extensively on the NFL for a multitude of blogs and websites. With Stokastic, Sam looks to blend his sports and editorial expertise with Stokastic's data to bring you the best fantasy information possible.

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