|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
b12078839 |
| 003 |
CoU |
| 005 |
20220407034347.0 |
| 008 |
211202t20222022njua b 001 0 eng d |
| 010 |
|
|
|a 2021949227
|
| 020 |
|
|
|a 9780691177625
|q (paperback)
|
| 020 |
|
|
|a 0691177627
|q (paperback)
|
| 020 |
|
|
|z 9780691189291 (ebook)
|
| 035 |
|
|
|a (OCoLC)ocn1289270932
|
| 035 |
|
|
|a (OCoLC)1289270932
|
| 040 |
|
|
|a UKMGB
|b eng
|e rda
|c UKMGB
|d OCLCF
|d OCLCO
|d UKMGB
|d PIT
|d COD
|
| 049 |
|
|
|a CODA
|
| 050 |
|
4 |
|a GV706.8
|b .W56 2022
|
| 100 |
1 |
|
|a Winston, Wayne L.,
|e author.
|0 http://id.loc.gov/authorities/names/n87942571
|1 https://isni.org/isni/0000000121423844.
|1 http://isni.org/isni/0000000121423844.
|
| 245 |
1 |
0 |
|a Mathletics :
|b how gamblers, managers, and fans use mathematics in sports.
|
| 250 |
|
|
|a 2nd edition /
|b Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis.
|
| 264 |
|
1 |
|a Princeton :
|b Princeton University Press,
|c [2022]
|
| 264 |
|
4 |
|c ©2022.
|
| 300 |
|
|
|a xxi, 584 pages :
|b illustrations (black and white) ;
|c 24 cm.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent.
|
| 336 |
|
|
|a still image
|b sti
|2 rdacontent.
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia.
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier.
|
| 500 |
|
|
|a Previous edition: published as by Wayne Winston. 2009.
|
| 504 |
|
|
|a Includes bibliographical references (pages 569-578) and index.
|
| 505 |
0 |
|
|a Preface -- Acknowledgments -- Abbreviations -- Part 1: Baseball -- 1: Baseball's Pythagorean Theorem -- 2: Who had a better year, Mike Trout or Kris Bryant? -- 3: Evaluating hitters by linear weights -- 4: Evaluating hitters by Monte Carlo simulation -- 5: Evaluating baseball pitchers, forecasting future pitcher performance, and an introduction to Statcast -- 6: Baseball decision-making -- 7: Evaluating fielders -- 8: Win probability added (WPA) -- 9: Wins above replacement (WAR) and player salaries -- 10: Park factors -- 11: Streakiness in sports -- 12: The platoon effect -- 13: Was Tony Perez a great clutch hitter? -- 14: Pitch count, pitcher effectiveness, and PITCHf/x data -- 15: Would Ted Williams hit .406 today? -- 16: Was Joe DiMaggio's 56-game hitting streak the greatest sports record of all time? -- 17: Projecting major league performance -- Part 2: Football -- 18: What makes NFL teams win? -- 19: Who's better: Brady or Rodgers? -- 20: Football states and values -- 21: Football decision-making 101 -- 22: If passing is better than running, why don't teams always pass? -- 23: Should we go for a one-point or two-point conversion? -- 24: To give up the ball is better than to receive : the case of college football overtime -- 25: Has the NFL finally gotten the OT rules right? -- 26: How valuable are NFL draft picks? -- 27: Player tracking data in the NFL -- Part 3: Basketball -- 28: Basketball statistics 101 : the four-factor model -- 29: Linear weights for evaluating NBA players -- 30: Adjusted +/- player ratings -- 31: ESPN RPM and FiveThirtyEight RAPTOR ratings -- 32: NBA lineup analysis -- 33: Analyzing team and individual matchups -- 34: NBA salaries and the value of a draft pick -- 35: Are NBA officials prejudiced? -- 36: Pick-n-rolling to win, the death of post ups and isos -- 37: SportVU, Second Spectrum, and the spatial basketball data revolution -- 38: In-game basketball decision making -- Part 4: Other sports -- 39: Soccer analytics -- 40: Hockey analytics -- 41: Volleyball analytics -- 42: Golf analytics -- 43: Analytics and cyber athletes : the era of e-sports -- Part 5: Sports gambling -- 44: Sports gambling 101 -- 45: Freakonomics meets the bookmaker -- 46: Rating sports teams -- 47: From point ratings to probabilities -- 48: The NCAA evaluation tool (NET) -- 49: Optimal money management : the Kelley growth criterion -- 50: Calcuttas -- Part 6: Methods and miscellaneous -- 51: How to work with data sources : collecting and visualizing data -- 52: Assessing players with limited data : the Bayesian approach -- 53: Finding latent patterns through matrix factorization -- 54: Network analysis in sports -- 55: Elo ratings -- 56: Comparing players from different eras -- 57: Does fatigue make cowards of us all? The case of NBA back-to-back games and NFL bye weeks -- 58: The college football playoff -- 59: Quantifying sports collapses -- 60: Daily fantasy sports -- Bibliography -- Index.
|
| 650 |
|
0 |
|a Sports
|x Mathematics.
|
| 650 |
|
7 |
|a Sports
|x Mathematics.
|2 fast
|0 (OCoLC)fst01130478.
|
| 700 |
1 |
|
|a Nestler, Scott,
|e author.
|
| 700 |
1 |
|
|a Pelechrinis, Konstantinos,
|e author.
|
| 700 |
1 |
|
|a Winston, Wayne L.
|t Mathletics.
|s First edition.
|
| 776 |
0 |
8 |
|i ebook version :
|z 9780691189291.
|
| 907 |
|
|
|a .b120788391
|b 05-03-22
|c 02-03-22
|
| 998 |
|
|
|a eng
|b 04-07-22
|c a
|d m
|e -
|f eng
|g nju
|h 0
|i 1
|
| 907 |
|
|
|a .b120788391
|b 04-08-22
|c 02-03-22
|
| 944 |
|
|
|a MARS - RDA ENRICHED
|
| 946 |
|
|
|a jvk
|
| 999 |
f |
f |
|i a9f614e5-6c28-554c-8d43-7337e0767d37
|s e35a0937-b7b0-570f-9f63-360dd9d0d8c4
|
| 952 |
f |
f |
|p Popular Reading Collections
|a University of Colorado Boulder
|b Boulder Campus
|c Engineering Math & Physics
|d Engineering Math & Physics Library - Popular Reading
|e GV706.8 .W56 2022
|h Library of Congress classification
|i Mona
|m U183073375296
|n 1
|
