Top Tweets for #Retrosheet
「plays.csv」が7.91GB
どのツールを使おうかなぁ。
おススメがあれば是非・・・
#retrosheet
米大リーグにおける1試合4本塁打を一晩掛けてまとめました。ゲーリッグ、ホッジス、メイズ等、すげーメンツが揃ってます。
お見せしてるのは表のみですが、各事例のゲーム内容もみ~っちりと見ました。
#retrosheet

new article - "Generating Opening Day Rosters from Retrosheet Event Files Using R" by Derek Bain https://t.co/WXaCrvzqFe #Retrosheet #eventfiles #Rstudio #RLanguage #RProgramming #OpeningDay #Rosters #MLB #lineups #script

These people are unsung heroes. Nerding out on baseball minutiae as an avocation. #Retrosheet
https://t.co/ll2fiY3aVb
"Batting Order Optimization" by Tim Blaker
https://t.co/AGmLbAJp9a
#analysis #battingOrder #combination #lineup #optimization #order #Perl #PlayByPlay #R #retrosheet #sabermetrics #script #SQL

I computed the probability of a ball being hit for a home run using launch angle and launch speed of 143,263 batted balls from 2015 to 2021.
Why did I do this? Not sure. But it was fun.
#ggplot2 #RStats #baseball #retrosheet #dataviz #datavisualization

Retrosheet is pleased to announce its latest release of Negro League games, including the 1945 season and a significant expansion of our collection of pre-1945 games.
In total, Retrosheet now has game accounts for 2,913 Negro League games. Enjoy! https://t.co/89XLfTZOft
Version 0.9.3 of the Chadwick DiamondWare/@Retrosheet tools is now available: Support for statistics tabulation for multiple player identities under the "Ohtani rule" for DHes! https://t.co/dDgAuodOHG #baseball #retrosheet #baseballstatistics
ICYMI: pybbda, a new #Python package for #BaseBall data and analysis:
lahman, baseball-reference, fangraphs, #retrosheet, #statcast
run expectancies, batted-ball trajectories, projections
https://t.co/uXlDKZwXKu
a cool thing about pybbda is you can read #retrosheet event files directly into a data frame. this is because it compiles #chadwickbureau c-code into a shared library with a #python interface using ctypes, example,

Chadwick 0.8.0 is released. Get it at https://t.co/AQ0amJgWbw; see what's new at https://t.co/pGC0GklGqA. #retrosheet
Sherri Nichols @SherriMNichols at #CMSAC18 telling her fascinating story of early sabermetrics including the origin of several groundbreaking baseball data collection efforts #DisruptingExpectations #retrosheet

Beyond excited for the news that Sherri Nichols will be the keynote speaker @CMU_Stats @CMUAnalytics #CMSAC18 !!!! Without her there wouldn’t be @baseballpro - and her role with #Retrosheet in promoting publicly available data laid the foundation for sports research today
Excited to announce the #CMSAC18 keynote speaker: Sherri Nichols. Learn more about the ground-breaking sabermetric work of this female CMU computer scientist who disrupted expectations https://t.co/AmfUojJGlQ
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