Reposted
We try to elevate students and early career voices, discuss the latest research, and have a good time. Here's some nice press we got last year to get a flavor for the event. defector.com/looking-for-...
Looking For Friends Among Baseball’s Most Passionate Nerds | Defector
CHICAGO — I live in fear of two things: flying and networking. But so powerful was the allure of baseball science and making new friends that I boarded the Flyaway bus to LAX to begin my path to the 2...
defector.com
March 17, 2025 at 10:56 PM
We try to elevate students and early career voices, discuss the latest research, and have a good time. Here's some nice press we got last year to get a flavor for the event. defector.com/looking-for-...
quick take is yes— these metrics should have minimal overlap. but that means grading offspeed stuff without considering velo diffs, which is doable.
i also don't like having to specify “primary” fastballs for stuff calcs. arsenal metrics that evaluate all pitch pairs don't have that requirement.
i also don't like having to specify “primary” fastballs for stuff calcs. arsenal metrics that evaluate all pitch pairs don't have that requirement.
January 8, 2025 at 6:34 PM
quick take is yes— these metrics should have minimal overlap. but that means grading offspeed stuff without considering velo diffs, which is doable.
i also don't like having to specify “primary” fastballs for stuff calcs. arsenal metrics that evaluate all pitch pairs don't have that requirement.
i also don't like having to specify “primary” fastballs for stuff calcs. arsenal metrics that evaluate all pitch pairs don't have that requirement.
Reposted
Here’s @lambo.drivelinebaseball.com and @marekramilo.bsky.social’s presentation from saber sem introducing the concepts.
Ultimate goal is using these arsenal models to quantify batter familiarity and pitch buyback effects in order to optimize usage.
youtu.be/OdL6dafOArc?...
Ultimate goal is using these arsenal models to quantify batter familiarity and pitch buyback effects in order to optimize usage.
youtu.be/OdL6dafOArc?...
Quantifying Arsenal Effects A New Paradigm in Pitching Models
YouTube video by Driveline Baseball
youtu.be
January 7, 2025 at 9:34 PM
Here’s @lambo.drivelinebaseball.com and @marekramilo.bsky.social’s presentation from saber sem introducing the concepts.
Ultimate goal is using these arsenal models to quantify batter familiarity and pitch buyback effects in order to optimize usage.
youtu.be/OdL6dafOArc?...
Ultimate goal is using these arsenal models to quantify batter familiarity and pitch buyback effects in order to optimize usage.
youtu.be/OdL6dafOArc?...
guilty as charged; we were indeed reading a script.
if there’s a specific topic you’d like for me or @lambo.drivelinebaseball.com to explain more effectively, happy to do so here.
good a reason as any for me to jump in on bluesky.
if there’s a specific topic you’d like for me or @lambo.drivelinebaseball.com to explain more effectively, happy to do so here.
good a reason as any for me to jump in on bluesky.
January 8, 2025 at 6:15 PM
guilty as charged; we were indeed reading a script.
if there’s a specific topic you’d like for me or @lambo.drivelinebaseball.com to explain more effectively, happy to do so here.
good a reason as any for me to jump in on bluesky.
if there’s a specific topic you’d like for me or @lambo.drivelinebaseball.com to explain more effectively, happy to do so here.
good a reason as any for me to jump in on bluesky.