Driveline

• Is Finding a Star Nothing But Luck?: Quantifying the Effectiveness of MLB Player Development
  As we’ve continued along with The Business Case For Player Development Series, we’ve attempted to evaluate and analyze specific subcomponents of player development in today’s rapidly changing landscape. These micro-level analyses have been useful in identifying the cost of inefficiencies that still occur within player development; however, they have also been limited when attempting to […]
• Driveline Baseball Podcast- EP. 24
    Driveline Baseball Podcast episode 24: On this weeks episode of the Driveline Baseball Podcast Kyle and Mike discuss the theory and process of creating our data tracking software TRAQ and how it has become an integral part in us, training athletes. Kyle and Mike breakdown the gruelling process of us breaking google sheets when tracking […]
• Pairing Blast and Hittrax Data Part 2: Specific Focuses
  In our last piece, we took a surface level look at the first publicly available pairing of Blast and HitTrax data. In this piece, we take a look at commonly held, specific beliefs that have been touched upon by our hitting trainers and see whether the data backs it up. We also take a more […]
• Driveline Baseball Podcast- EP. 23
    Driveline Baseball Podcast episode 23: On this weeks episode of the Driveline Baseball Podcast we have part 2 of the Trevor and Warren Bauer interview. In part 2 Kyle and the Bauer duo explore what baseball will look like in the near future as tech integration plays a bigger role inside the professional ranks as […]
• Randomized and Blocked Training: Balancing Different Types of Hitting Practice
  For years, the game of baseball’s training environment hasn’t mimicked what occurs during a game. Throwing fastballs or curveballs every other pitch in batting practice hardly creates a random environment for pitches that hitters may see in a game. Though rotating between two pitches does get us further away from “block” training, it still lets […]