The MVP machine: how baseball's new nonconformists are using data to build better players
"[T]he Moneyball era is over. Fifteen years after Michael Lewis brought the Oakland Athletics' groundbreaking team-building strategies to light, every front office takes a data-driven approach to evaluating players, and the league's smarter teams no longer have a huge advantage in val...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York
Basic Books
June 2019
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Ausgabe: | First edition |
Schlagworte: | |
Zusammenfassung: | "[T]he Moneyball era is over. Fifteen years after Michael Lewis brought the Oakland Athletics' groundbreaking team-building strategies to light, every front office takes a data-driven approach to evaluating players, and the league's smarter teams no longer have a huge advantage in valuing past performance. Lindbergh and Sawchik's behind-the-scenes reporting reveals: How the 2017 Astros and 2018 Red Sox used cutting-edge technology to win the World Series ; How undersized afterthoughts José Altuve and Mookie Betts became big sluggers and MVPs ; How polarizing pitcher Trevor Bauer made himself a Cy Young contender ; How new analytical tools have overturned traditional pitching and hitting techniques ; How a wave of young talent is making MLB both better than ever and arguably worse to watch. Instead of out-drafting, out-signing, and out-trading their rivals, baseball's best minds have turned to out-developing opponents, gaining greater edges than ever by perfecting prospects and eking extra runs out of older athletes who were once written off. Lindbergh and Sawchik take us inside the transformation of former fringe hitters into home-run kings, show how washed-up pitchers have emerged as aces, and document how coaching and scouting are being turned upside down. The MVP Machine charts the future of a sport and offers a lesson that goes beyond baseball: Success stems not from focusing on finished products, but from making the most of untapped potential." -- |
Beschreibung: | viii, 374 Seiten 25 cm |
ISBN: | 9781541698949 |
Internformat
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100 | 1 | |a Lindbergh, Ben |e Verfasser |0 (DE-588)1193609119 |4 aut | |
245 | 1 | 0 | |a The MVP machine |b how baseball's new nonconformists are using data to build better players |c Ben Lindbergh & Travis Sawchik |
250 | |a First edition | ||
264 | 1 | |a New York |b Basic Books |c June 2019 | |
300 | |a viii, 374 Seiten |c 25 cm | ||
336 | |b txt |2 rdacontent | ||
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505 | 8 | |a Saviormetrics -- A natural maniac, an unnatural athlete -- Making mules into racehorses -- First principles -- A bottom-up revolution -- The 10,000-pitch rule -- The conduit -- Perfect pitch -- We're all astronauts -- SpinGate -- Amateur ball -- The all-star player-coach -- Performance-enhancing data -- Just be better -- Soft factors -- If you build them, they will come -- No ceiling | |
520 | 3 | |a "[T]he Moneyball era is over. Fifteen years after Michael Lewis brought the Oakland Athletics' groundbreaking team-building strategies to light, every front office takes a data-driven approach to evaluating players, and the league's smarter teams no longer have a huge advantage in valuing past performance. Lindbergh and Sawchik's behind-the-scenes reporting reveals: How the 2017 Astros and 2018 Red Sox used cutting-edge technology to win the World Series ; How undersized afterthoughts José Altuve and Mookie Betts became big sluggers and MVPs ; How polarizing pitcher Trevor Bauer made himself a Cy Young contender ; How new analytical tools have overturned traditional pitching and hitting techniques ; How a wave of young talent is making MLB both better than ever and arguably worse to watch. Instead of out-drafting, out-signing, and out-trading their rivals, baseball's best minds have turned to out-developing opponents, gaining greater edges than ever by perfecting prospects and eking extra runs out of older athletes who were once written off. Lindbergh and Sawchik take us inside the transformation of former fringe hitters into home-run kings, show how washed-up pitchers have emerged as aces, and document how coaching and scouting are being turned upside down. The MVP Machine charts the future of a sport and offers a lesson that goes beyond baseball: Success stems not from focusing on finished products, but from making the most of untapped potential." -- | |
650 | 4 | |a Baseball / United States | |
650 | 4 | |a Baseball players / United States | |
650 | 4 | |a Baseball teams / United States | |
650 | 4 | |a Baseball / Statistical methods | |
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700 | 1 | |a Sawchik, Travis |e Sonstige |0 (DE-588)1193609542 |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-5416-9895-6 |
999 | |a oai:aleph.bib-bvb.de:BVB01-031442405 |
Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Lindbergh, Ben |
author_GND | (DE-588)1193609119 (DE-588)1193609542 |
author_facet | Lindbergh, Ben |
author_role | aut |
author_sort | Lindbergh, Ben |
author_variant | b l bl |
building | Verbundindex |
bvnumber | BV046061088 |
contents | Saviormetrics -- A natural maniac, an unnatural athlete -- Making mules into racehorses -- First principles -- A bottom-up revolution -- The 10,000-pitch rule -- The conduit -- Perfect pitch -- We're all astronauts -- SpinGate -- Amateur ball -- The all-star player-coach -- Performance-enhancing data -- Just be better -- Soft factors -- If you build them, they will come -- No ceiling |
ctrlnum | (OCoLC)1110102566 (DE-599)BVBBV046061088 |
edition | First edition |
format | Book |
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indexdate | 2024-07-10T08:34:09Z |
institution | BVB |
isbn | 9781541698949 |
language | English |
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owner_facet | DE-188 |
physical | viii, 374 Seiten 25 cm |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Basic Books |
record_format | marc |
spelling | Lindbergh, Ben Verfasser (DE-588)1193609119 aut The MVP machine how baseball's new nonconformists are using data to build better players Ben Lindbergh & Travis Sawchik First edition New York Basic Books June 2019 viii, 374 Seiten 25 cm txt rdacontent n rdamedia nc rdacarrier Saviormetrics -- A natural maniac, an unnatural athlete -- Making mules into racehorses -- First principles -- A bottom-up revolution -- The 10,000-pitch rule -- The conduit -- Perfect pitch -- We're all astronauts -- SpinGate -- Amateur ball -- The all-star player-coach -- Performance-enhancing data -- Just be better -- Soft factors -- If you build them, they will come -- No ceiling "[T]he Moneyball era is over. Fifteen years after Michael Lewis brought the Oakland Athletics' groundbreaking team-building strategies to light, every front office takes a data-driven approach to evaluating players, and the league's smarter teams no longer have a huge advantage in valuing past performance. Lindbergh and Sawchik's behind-the-scenes reporting reveals: How the 2017 Astros and 2018 Red Sox used cutting-edge technology to win the World Series ; How undersized afterthoughts José Altuve and Mookie Betts became big sluggers and MVPs ; How polarizing pitcher Trevor Bauer made himself a Cy Young contender ; How new analytical tools have overturned traditional pitching and hitting techniques ; How a wave of young talent is making MLB both better than ever and arguably worse to watch. Instead of out-drafting, out-signing, and out-trading their rivals, baseball's best minds have turned to out-developing opponents, gaining greater edges than ever by perfecting prospects and eking extra runs out of older athletes who were once written off. Lindbergh and Sawchik take us inside the transformation of former fringe hitters into home-run kings, show how washed-up pitchers have emerged as aces, and document how coaching and scouting are being turned upside down. The MVP Machine charts the future of a sport and offers a lesson that goes beyond baseball: Success stems not from focusing on finished products, but from making the most of untapped potential." -- Baseball / United States Baseball players / United States Baseball teams / United States Baseball / Statistical methods Baseball / Mathematical models Baseballspieler (DE-588)4739208-3 gnd rswk-swf Baseball (DE-588)4144091-2 gnd rswk-swf USA (DE-588)4078704-7 gnd rswk-swf Baseball (DE-588)4144091-2 s Baseballspieler (DE-588)4739208-3 s USA (DE-588)4078704-7 g DE-604 Sawchik, Travis Sonstige (DE-588)1193609542 oth Erscheint auch als Online-Ausgabe 978-1-5416-9895-6 |
spellingShingle | Lindbergh, Ben The MVP machine how baseball's new nonconformists are using data to build better players Saviormetrics -- A natural maniac, an unnatural athlete -- Making mules into racehorses -- First principles -- A bottom-up revolution -- The 10,000-pitch rule -- The conduit -- Perfect pitch -- We're all astronauts -- SpinGate -- Amateur ball -- The all-star player-coach -- Performance-enhancing data -- Just be better -- Soft factors -- If you build them, they will come -- No ceiling Baseball / United States Baseball players / United States Baseball teams / United States Baseball / Statistical methods Baseball / Mathematical models Baseballspieler (DE-588)4739208-3 gnd Baseball (DE-588)4144091-2 gnd |
subject_GND | (DE-588)4739208-3 (DE-588)4144091-2 (DE-588)4078704-7 |
title | The MVP machine how baseball's new nonconformists are using data to build better players |
title_auth | The MVP machine how baseball's new nonconformists are using data to build better players |
title_exact_search | The MVP machine how baseball's new nonconformists are using data to build better players |
title_full | The MVP machine how baseball's new nonconformists are using data to build better players Ben Lindbergh & Travis Sawchik |
title_fullStr | The MVP machine how baseball's new nonconformists are using data to build better players Ben Lindbergh & Travis Sawchik |
title_full_unstemmed | The MVP machine how baseball's new nonconformists are using data to build better players Ben Lindbergh & Travis Sawchik |
title_short | The MVP machine |
title_sort | the mvp machine how baseball s new nonconformists are using data to build better players |
title_sub | how baseball's new nonconformists are using data to build better players |
topic | Baseball / United States Baseball players / United States Baseball teams / United States Baseball / Statistical methods Baseball / Mathematical models Baseballspieler (DE-588)4739208-3 gnd Baseball (DE-588)4144091-2 gnd |
topic_facet | Baseball / United States Baseball players / United States Baseball teams / United States Baseball / Statistical methods Baseball / Mathematical models Baseballspieler Baseball USA |
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