A comparative study of the team strengths calculated by mathematical and statistical methods and points and winning rate of the Tokyo Big6 Baseball Le

Similar documents
Comparison of the strengths of Japanese Collegiate Baseball Leagues in past 30 seasons Takashi Toriumi 1, Hirohito Watada 2, The Tokyo Big 6 Baseball


~ 事

The Study of Combination of Pitches in College Baseball Keita Kikuchi 1), Nobuyuki Nakajima 2), Hirohito Watada 3) The purpose of this study was to an

The Study of Combination of Pitches in College Baseball Keita Kikuchi 1), Nobuyuki Nakajima 2), Hirohito Watada 3) The purpose of this study was to an

Powered by TCPDF ( Title 明治以前日本水害史年表 Sub Title A chronological table of flood disasters before Meiji era in Japan Author 高木, 勇夫 (Takagi,



Powered by TCPDF ( Title 米国における障害者を対象とした野外教育 : 米国の障害者政策と障害者教育の変遷との関連 Sub Title Outdoor education for people with disabilities in United






.~:ril.~, ー.. ~ 諭






20 55




国民年金保険料における未納 免除 猶予 追納の分析 Analysis of People's Decision-Making for the Absence of Contribution Payments, the Exemption, the Contribution Postponement

彙報 A B





Powered by TCPDF ( Title 初級レベルの授業報告 : 基幹コース3 科目を担当して Sub Title Author 中村, 愛 (Nakamura, Ai) Publisher 慶應義塾大学日本語 日本文化教育センター Publication 20







untitled


Powered by TCPDF ( Title 第 11 講 : フィッシャー統計学 II Sub Title Author 石川, 史郎 (Ishikawa, Shiro) Publisher Publication year 2018 Jtitle コペンハーゲン解





Microsoft Word - 46流力・ANSS14リーフレット_final.docx

雇用と年金の接続 在職老齢年金の就業抑制効果と老齢厚生年金受給資格者の基礎年金繰上げ受給要因に関する分析 The Labour Market Behaviour of Older People: Analysing the Impact of the Reformed "Earning Test"

Powered by TCPDF ( Title 地理情報科学を用いた外国人観光客向け観光防災地図と政策提案 : 鎌倉市をケーススタディーとして Sub Title Geographical Information Science in tourism/evacuatio



07_高平小百合.indd


Ihara Saikaku as an Economic Thought Masamichi Komuro Abstract: Ihara Saikaku was one of the most famous novelists of the Edo Period. He


市区町村別平均寿命の全国順位の変化からみた青森県市町村平均寿命の解析




Fig. 1 Photography of exercise test by Arm Crank Ergometer. Fig. 2 Photography of exercise test by chair with caster. Arm Crank Ergometer Wheelchair T

16_.....E...._.I.v2006

Modal Phrase MP because but 2 IP Inflection Phrase IP as long as if IP 3 VP Verb Phrase VP while before [ MP MP [ IP IP [ VP VP ]]] [ MP [ IP [ VP ]]]

使用済み電気 電子機器 (E-Waste) の適正処理とリサイクル Proper Treatment and Recycling of E-Waste 細田衛士 (Eiji Hosoda) E-Waste と呼ばれる廃電気 電子機器は, 有用稀少金属も含む一方で有害物質も含んでいる 汚染を未然に防ぐ


満州国 商工業都市 1930 年代の奉天の経済発展 Commercial and Industrial City of "Manchoukuo" The Economic Development of Fengtian in 1930's 張暁紅 (Xiaohong Zhang) 1930 年代奉天

Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth

<95DB8C9288E397C389C88A E696E6462>

Oda

IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for

™…

7 success of the creation of Soccer town in Urawa is mainly due to strong recognition and identity by local people as the Soccer town in Urawa distric

_念3)医療2009_夏.indd

中小企業の量的成長と質的成長 Size Growth and Capability Growth by Small Firms 髙橋美樹 (Miki Takahashi) 企業の成長には2つの側面があり 従業員数や資本金 売上高でみた量的な側面と イノベーション創出能力あるいは組織能力でみた質的な側

Powered by TCPDF ( Title 金利現実化措置以後の韓国における企業金融 : 年 Sub Title Korean corporate finance between 1965 and 1971 Author 李, 明輝 (Lee,

JOURNAL OF THE JAPANESE ASSOCIATION FOR PETROLEUM TECHNOLOGY VOL. 66, NO. 6 (Nov., 2001) (Received August 10, 2001; accepted November 9, 2001) Alterna

終身雇用制 : 再考 - ニューラルネットワークによる財務業績の検証 Revising Japanese Lifetime Employment System: Financial Performance Analysis using Artificial Neural Networks 岡本大輔

untitled




A Nutritional Study of Anemia in Pregnancy Hematologic Characteristics in Pregnancy (Part 1) Keizo Shiraki, Fumiko Hisaoka Department of Nutrition, Sc


OECD INVEST JAPAN jp/ij/index.htm

Powered by TCPDF ( Title 老舗音楽コンテンツホルダーによるミュージックスクールを通じた脱レコード販売のためのビジネスデザインの研究 Sub Title Business design of music school innovating on de



OR2017_curlingRating.dvi

スポーツ教育学研究(2013. Vol.33, No1, pp.1-13)

The Formation of Export Promotion Policy in Korea from 1959 to 1964 Sangcheol Lee Translated by Inman Yeo Abstract: This paper

alternating current component and two transient components. Both transient components are direct currents at starting of the motor and are sinusoidal

Powered by TCPDF ( Title 日本コンテンツの海外展開における 中国向けウェブコンテンツプロモーション向上の為の新しい仕組み構築と手法の研究 Sub Title In overseas expansion of Japanese culture web

[2] , [3] 2. 2 [4] 2. 3 BABOK BABOK(Business Analysis Body of Knowledge) BABOK IIBA(International Institute of Business Analysis) BABOK 7

The 18th Game Programming Workshop ,a) 1,b) 1,c) 2,d) 1,e) 1,f) Adapting One-Player Mahjong Players to Four-Player Mahjong

2 ( ) i



udc-2.dvi

29 Short-time prediction of time series data for binary option trade

Bull. of Nippon Sport Sci. Univ. 47 (1) Devising musical expression in teaching methods for elementary music An attempt at shared teaching

untitled


56

Transcription:

Powered by TCPDF (www.tcpdf.org) Title 東京六大学野球リーグ戦において勝敗結果から計算する優勝チームと勝点 勝率との比較研究 Sub Title A comparative study of the team strengths calculated by mathematical and statistical methods and points and winning rate of the Tokyo Big6 Baseball League. Author 鳥海, 崇 (Toriumi, Takashi) 綿田, 博人 (Watada, Hirohito) Publisher 慶應義塾大学体育研究所 Publication year 2017 Jtitle 体育研究所紀要 (Bulletin of the institute of physical education, Keio university). Vol.56, No.1 (2017. 1),p.45-53 Abstract In this study, we calculate the team strengths of the Tokyo Big6 Baseball League teams from 2001 to 2015 seasons by using five mathematical and statistical methods; which are 1 Keener's model using points in the standings, 2 Keener's model using wins and losses, 3 Bradley-Terry model using wins and losses, 4 Offence-Defense methods using scores, and 5 Keener's model using a parameter derived from points and winning rate. Based on the 20 results whose standings of the points and the winning rates are on the same order, we calculate the Kendall rank correlation coefficient between both rankings derived from strengths and from points in each method. The average coefficients from 2001 to 2015 seasons show that Keener's model using wins and losses, Keener's model using a parameter, and Bradley-Terry model have high correlations (more than 0.9). On the other hand, Keener's model using points in the standings and Offence-Defense model have a low correlation (less than 0.9). We also calculate the strengths in the case that the team ranked 1st in the standings is ranked 2nd in terms of the winning rate. The three methods with high correlations show that the strength of the team ranked highest in terms of wining rate is greater than the team ranked second highest. This implies that the winning rate is a better indicator of a team's strength than its points in the Tokyo Big6 Baseball League standings from 2001 to 2015. Notes Genre Departmental Bulletin Paper URL http://koara.lib.keio.ac.jp/xoonips/modules/xoonips/detail.php?koara_id=an00135710-00560001 -0045

A comparative study of the team strengths calculated by mathematical and statistical methods and points and winning rate of the Tokyo Big6 Baseball League. Takashi Toriumi 1, Hirohito Watada 2, In this study, we calculate the team strengths of the Tokyo Big6 Baseball League teams from 2001 to 2015 seasons by using five mathematical and statistical methods; which are Keener s model using points in the standings, Keener s model using wins and losses, Bradley-Terry model using wins and losses, Offence-Defense methods using scores, and Keener s model using a parameter derived from points and winning rate. Based on the 20 results whose standings of the points and the winning rates are on the same order, we calculate the Kendall rank correlation coefficient between both rankings derived from strengths and from points in each method. The average coefficients from 2001 to 2015 seasons show that Keener s model using wins and losses, Keener s model using a parameter, and Bradley-Terry model have high correlations (more than 0.9). On the other hand, Keener s model using points in the standings and Offence-Defense model have a low correlation (less than 0.9). We also calculate the strengths in the case that the team ranked 1 st in the standings is ranked 2 nd in terms of the winning rate. The three methods with high correlations show that the strength of the team ranked highest in terms of wining rate is greater than the team ranked second highest. This implies that the winning rate is a better indicator of a team s strength than its points in the Tokyo Big6 Baseball League standings from 2001 to 2015. 6 2 2 1 1 1 2 2013 1 1 10 4 2 5 714 2 9 2 4 818 1 2 1 2 45

1 1 2 2013 1 2 3 4 5 6 1 5 714 2 4 818 3 3 583 4 2 455 5 1 333 6 0 00 1 2 1 2 20002015 30 2 20092013 2 1979 1997 5 6 2 1 5 3 3 5 1 2 3 4 5 3 2 1993 1 0 2 3 46

1 6 2 3 2 20112012 1 100 100 4 A 1952 47

2012 1 1 20022003 0505 Cattelan et al., 2013 2002McHale and Morton 2011 1996 m 1 2 0 2 1 48

1 6 1 2 1 2 1 3 2 1 4 2 3 2000 2009 1 6 1 2 1 2 3 2 1 4 2 3 2 2 1 1 2 20012015 2 30 5 1 2 3 4 5 2 1 1 49

2 5 3 5 4 2 1 2 5 1 2 2 6 5 7 2 20 14 0773 0884 0920 0938 0942 3 1 2 2009 14 1 4 0185 0274 0185 0228 0197 615 2 3 0328 0213 0199 0271 0199 667 4 1 2 2013 14 1 5 0272 0592 0208 0270 0231 714 2 4 0257 0246 0222 0447 0233 818 1 0.95 0.9 0.85 0.8 1 10 100 1 50

1 1 200020153020 10 1 2 2 7 1 2 1 20 20 2 14 09 09 1 20 1010022 20 1 100 14 0942 09 140942 0938 0920 09 0884 0773 2 2 2001 2015 1 2 2 30 2 2009 2013 5 1 2 3 4 2 14 3 09 3 1 2 3 2 1 2 1 09 2 2009 1 2 1 2 2 20092013 2001 3016533 51

2 2 2001 2015 3 2012 2016 1 2 2012 2006 1530 172 1 2 8 20012015 5 1 2 3 14 2 3 1 1952 39324345 2 2012 27 3 412433 3 2013 62 1 135150 4 2011 2010 5 2 205219 5 20122010 18193547 6 2009 5 1 4 7 1996 265160 8 2012 5711629 638 9 2003 3 3545 102000 45719738 112002 2002 29 2 223231 122016 1 2 592137 132012 57 1 21 26 141993 35 1 8093 151997 10 1 15 19 16 2002 2 1 7 17 2011 27619630 182006 52

51 6 319327 191979 24 4 185192 2016 9 9 201611 7 53