Changing the Major League Baseball: a Whole New Ballgame
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Risk Factor for Elbow Symptom Manifestation in Young
www.nature.com/scientificreports OPEN Risk factor for elbow symptom manifestation in young baseball players with asymptomatic medial elbow abnormalities: a prospective cohort study Hitoshi Shitara*, Tsuyoshi Tajika, Takuro Kuboi, Tsuyoshi Ichinose, Tsuyoshi Sasaki, Noritaka Hamano, Fumitaka Endo, Masataka Kamiyama, Ryosuke Miyamoto, Kurumi Nakase, Atsushi Yamamoto, Tsutomu Kobayashi, Kenji Takagishi & Hirotaka Chikuda Asymptomatic elbow abnormalities are relatively common in young baseball players, but the factors responsible are unclear. To prospectively identify risk factors related to symptom manifestation in asymptomatic elbow abnormalities, we recruited 573 baseball players (age: 7–14 years) at a pre-participation medical/physical examination in the preseason who were right-handed and had asymptomatic medial elbow abnormalities on ultrasound (US). Baseline preseason and postseason participant characteristics were assessed. A “symptomatic” elbow was defned as an elbow with medial elbow joint problems that prevented ball throwing for ≥ 8 days. After exclusions, 82 players were enrolled, of whom 22 (26.8%) developed a symptomatic elbow. In univariate analyses, the external and internal rotation strengths of the dominant shoulder were signifcantly greater in the symptomatic group than in the asymptomatic group (P = 0.021). Multivariate logistic regression analysis showed that the internal rotation strength of the dominant shoulder was a signifcant independent risk factor (odds ratio = 1.091, P = 0.027) for developing a symptomatic elbow. In young asymptomatic baseball players with abnormalities in the medial elbow region of the dominant arm on US, stronger preseason internal rotation strength of the dominant shoulder was a signifcant independent risk factor for the development of a “symptomatic” elbow. Young baseball players are at high risk for elbow injuries1–5. -
The Pennsylvania State University Schreyer Honors College
THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF INDUSTRIAL AND MANUFACTURING ENGINEERING PREDICTIVE MODELING AND ANALYTICS FOR PROFESSIONAL BASEBALL: AN ANALYSIS OF INJURIES, PLAYER PERFORMANCE, AND MEDICAL STAFF OPTIMIZATION PATRICK SCHERI SPRING 2020 A thesis submitted in partial fulfillment of the requirements for a baccalaureate degree in Industrial Engineering with honors in Industrial Engineering Reviewed and approved* by the following: Guodong (Gordon) Pang Associate Professor Harold and Inge Marcus Department of Industrial and Manufacturing Engineering Thesis Supervisor Catherine Harmonosky Associate Professor and Associate Department Head of Harold and Inge Marcus Department of Industrial and Manufacturing Engineering Honors Adviser * Signatures are on file in the Schreyer Honors College. i ABSTRACT The research in this paper aims to help Major League Baseball (MLB) teams find the next big competitive advantages within baseball – injury modeling and medical staff optimization. The objective of this research is to create models to predict future injury, and evaluate medical staffing so that teams and players can increase their future performance. The game of baseball is quickly shifting towards analytics and as teams strive to find every advantage possible, they must consider evaluating their medical departments. The research in this paper utilizes a predictive model to indicate the odds of a pitcher requiring Tommy John surgery (a common baseball injury). The model used a variety of variables ranging from basic statistics, pitch selections and velocities, and pitching mechanics to generate an equation for the likelihood a player will require surgery. The model showed that a pitcher’s pitch selection is one of the largest indicators of surgery. -
Sabermetrics: the Past, the Present, and the Future
Sabermetrics: The Past, the Present, and the Future Jim Albert February 12, 2010 Abstract This article provides an overview of sabermetrics, the science of learn- ing about baseball through objective evidence. Statistics and baseball have always had a strong kinship, as many famous players are known by their famous statistical accomplishments such as Joe Dimaggio’s 56-game hitting streak and Ted Williams’ .406 batting average in the 1941 baseball season. We give an overview of how one measures performance in batting, pitching, and fielding. In baseball, the traditional measures are batting av- erage, slugging percentage, and on-base percentage, but modern measures such as OPS (on-base percentage plus slugging percentage) are better in predicting the number of runs a team will score in a game. Pitching is a harder aspect of performance to measure, since traditional measures such as winning percentage and earned run average are confounded by the abilities of the pitcher teammates. Modern measures of pitching such as DIPS (defense independent pitching statistics) are helpful in isolating the contributions of a pitcher that do not involve his teammates. It is also challenging to measure the quality of a player’s fielding ability, since the standard measure of fielding, the fielding percentage, is not helpful in understanding the range of a player in moving towards a batted ball. New measures of fielding have been developed that are useful in measuring a player’s fielding range. Major League Baseball is measuring the game in new ways, and sabermetrics is using this new data to find better mea- sures of player performance. -
Peter Gammons: the Cleveland Indians, Best Run Team in Professional Sports March 5, 2018 by Peter Gammons 7 Comments PHOENIX—T
Peter Gammons: The Cleveland Indians, best run team in professional sports March 5, 2018 by Peter Gammons 7 Comments PHOENIX—The Cleveland Indians have won 454 games the last five years, 22 more than the runner-up Boston Red Sox. In those years, the Indians spent $414M less in payroll than Boston, which at the start speaks volumes about how well the Indians have been run. Two years ago, they got to the tenth inning of an incredible World Series game 7, in a rain delay. Last October they lost an agonizing 5th game of the ALDS to the Yankees, with Corey Kluber, the best pitcher in the American League hurt. They had a 22 game winning streak that ran until September 15, their +254 run differential was 56 runs better than the next best American League team (Houston), they won 102 games, they led the league in earned run average, their starters were 81-38 and they had four players hit between 29 and 38 homers, including 29 apiece from the left side of their infield, Francisco Lindor and Jose Ramirez. And they even drew 2.05M (22nd in MLB) to the ballpark formerly known as The Jake, the only time in this five year run they drew more than 1.6M or were higher than 28th in the majors. That is the reality they live with. One could argue that in terms of talent and human player development, the growth of young front office talent (6 current general managers and three club presidents), they are presently the best run organization in the sport, especially given their financial restraints. -
OFFICIAL GAME INFORMATION Lake County Captains (14-15) Vs
High-A Affiliate OFFICIAL GAME INFORMATION Lake County Captains (14-15) vs. Dayton Dragons (16-13) Sunday, June 6th • 1:30 p.m. • Classic Park • Broadcast: WJCU.org Game #30 • Home Game #12 • Season Series: 3-2, 19 Games Remaining RHP Mason Hickman (1-2, 3.45 ERA) vs. RHP Spencer Stockton (2-0, 3.57 ERA) YESTERDAY: The Captains’ three-game winning streak ended with a 15-4 loss to Dayton on Saturday night. Kevin Coulter surrendered seven runs on 10 hits over 1.2 innings to take the loss in a spot start. Dragons centerfielder Quin Cotton hit two home runs and drove in six High-A Central League runs to lead the Dayton offense. Dragons starter Graham Ashcraft earned the win with seven strong innings, in which he allowed just one run on two hits and struck out nine. East Division W L GB COMING ALIVE: After scoring just 12 runs and suffering a six-game sweep last week at West Michigan, the Captains have already scored 29 runs in the first five games of this series against Dayton. Will Brennan has gone 7-for-18 (.389) with two home runs, two doubles, 10 RBI and West Michigan (Detroit) 16 12 -- a 1.254 OPS. Joe Naranjo has gone 3-for-10 with a team-leading five walks for a .533 on-base percentage. Dayton (Cincinnati) 16 13 0.5 BRENNAN BASHING: Captains OF Will Brennan leads the High-A Central League (HAC) lead in doubles (11). He is second in batting average (.326), fourth in wRC+ (154), fifth in on-base percentage (.410), sixth in OPS (.920), sixth in extra-base hits (13) and ninth in slugging Great Lakes (Los Angeles - NL) 15 14 1.5 percentage (.511). -
Oracle Public Sector Incident Reporting Process Accelerator 11Grelease 1 (11.1.1.7.1)
Oracle® Fusion Middleware User’s Guide for Oracle Public Sector Incident Reporting Process Accelerator 11gRelease 1 (11.1.1.7.1) January 2014 Copyright © 2012, 2014, Oracle and/or its affiliates. All rights reserved. Disclaimer This document contains proprietary information and is protected by copyright and other intellectual property laws. You may copy and print this document solely for your own use in an Oracle training course. The document may not be modified or altered in any way. Except where your use constitutes "fair use" under copyright law, you may not use, share, download, upload, copy, print, display, perform, reproduce, publish, license, post, transmit, or distribute this document in whole or in part without the express authorization of Oracle. The information contained in this document is subject to change without notice. If you find any problems in the document, please report them in writing to: Oracle University, 500 Oracle Parkway, Redwood Shores, California 94065 USA. This document is not warranted to be error-free. Restricted Rights Notice If this documentation is delivered to the United States Government or anyone using the documentation on behalf of the United States Government, the following notice is applicable: U.S. GOVERNMENT RIGHTS The U.S. Government’s rights to use, modify, reproduce, release, perform, display, or disclose these training materials are restricted by the terms of the applicable Oracle license agreement and/or the applicable U.S. Government contract. Trademark Notice Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. CONTENTS Oracle Public Sector Incident Reporting Process Accelerator ........ -
TODAY's HEADLINES AGAINST the OPPOSITION Home
ST. PAUL SAINTS (10-11) vs IOWA CUBS (CHC) (9-10) RHP GRIFFIN JAX (2-1, 4.29) vs RHP ALEC MILLS (MLR) (0-1, 27.00) Friday, May 28th, 2021 - 7:08 pm (CT) - Des Moines, IA - Principle Park Game #22 - Road Game #10 TV: MiLB.TV RADIO: KFAN+ 2021 At A Glance TODAY'S HEADLINES AGAINST THE OPPOSITION Home .....................................................5-7 That Was Yesterday - The Saints winning streak marched on to four SAINTS VS IOWA Road ......................................................5-4 games with a 4-2 come-from-behind win over Iowa last night. Jhoan vs. LHP .............................................1-0 Duran again lived up to the expectations, striking out eight in four .209 ------------- BA ------------ .246 innings. St. Paul trailed 2-1 entering the ninth inning, and used two vs. RHP ..........................................9-11 singles, two hit by pitches and an error to plate three runs, scoring them .221 -------- BA W/2O ----------.173 Current Streak ....................................W4 their first comeback win in the ninth this season. .297 ------ BA W/RISP ---------.255 Most Games > .500 ..........................0 44 --------------RUNS ------------- 42 - Today the Saints strive for five in a row and secure their Most Games < .500 ..........................5 Today’s Game 12 ---------------- HR ---------------- 2 first series win of the year. RHP Griffin Jax heads out to the hill looking 8 ------------- STEALS ------------- 7 Overall Series ..................................0-2-1 to build on a six-inning, eight-strikeout performance in his last start. The 4.44 ------------- ERA ----------- 4.27 Saints are 6-3 against Iowa this season. Home Series ...............................0-1-1 87 --------------- K's -------------- 91 Away Series ................................0-1-0 Starters Strength - In the last full run through the Saints starting Extra Innings ........................................0-2 pitching rotation (May 21st), the St. -
Fans Don't Boo Nobodies: Image Repair Strategies of High-Profile Baseball Players During the Steroid Era
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2011-09-23 Fans Don't Boo Nobodies: Image Repair Strategies of High-Profile Baseball Players During the Steroid Era Kevin R. Nielsen Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Communication Commons BYU ScholarsArchive Citation Nielsen, Kevin R., "Fans Don't Boo Nobodies: Image Repair Strategies of High-Profile Baseball Players During the Steroid Era" (2011). Theses and Dissertations. 2876. https://scholarsarchive.byu.edu/etd/2876 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Fans don't boo nobodies: Image repair strategies of high-profile baseball players during the Steroid Era Kevin Nielsen A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Arts Steve Thomsen, Chair Kenneth Plowman Tom Robinson Department of Communications Brigham Young University December 2011 Copyright © 2011 Kevin Nielsen All Rights Reserved Fans don't boo nobodies: Image repair strategies of high-profile baseball players during the Steroid Era Kevin Nielsen Department of Communications, BYU Master of Arts Baseball's Steroid Era put many different high-profile athletes under pressure to explain steroid allegations that were made against them. This thesis used textual analysis of news reports and media portrayals of the athletes, along with analysis of their image repair strategies to combat those allegations, to determine how successful the athletes were in changing public opinion as evidenced through the media. -
Change To***** I. Rule Changes, Additions, And/Or Deletions 1
I. League Voting A 2/3 (two-thirds) majority vote is required for all rule changes. *****Change to***** I. Rule Changes, Additions, and/or Deletions 1. A 66% majority vote is required. 2. 10 teams constitute a quorum. II. The Draft 1. Each team drafts 18 players. When the 18th is chosen that team is finished drafting (note: team may draft a player on the DL and at the conclusion of the full Draft, he may disable the player and pick-up another player). 2. Teams draft in reverse order of the standings the previous year. 3. Expansion team(s) will pick 6th in rounds 1 thru 6, and first thereafter in each round until his roster contains 23 players. *****Change to***** II. The Draft 1. Each team drafts until the total number of players on the roster reaches 23. Any players drafted who are currently on the 7, 10, or 60 day IL may be replaced at the end of the draft maintaining the correct draft order and protocol. 2. The previous season’s team point total will determine the draft order smallest to largest. 3. All expansion teams will select five players in an expansion draft (see section VI). They will then draft in the 6 th round for 6 rounds and then 1 st after that. (If more than 1 team the next round) III. The Rosters 1. Each team protects 5 players from the previous season roster. 2. Each team may have up to 23 active players. You can have any combination of pitchers and hitters. -
A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises
DePaul Journal of Sports Law Volume 4 Issue 1 Summer 2007: Symposium - Regulation of Coaches' and Athletes' Behavior and Related Article 3 Contemporary Considerations A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises Jon Berkon Follow this and additional works at: https://via.library.depaul.edu/jslcp Recommended Citation Jon Berkon, A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises, 4 DePaul J. Sports L. & Contemp. Probs. 9 (2007) Available at: https://via.library.depaul.edu/jslcp/vol4/iss1/3 This Notes and Comments is brought to you for free and open access by the College of Law at Via Sapientiae. It has been accepted for inclusion in DePaul Journal of Sports Law by an authorized editor of Via Sapientiae. For more information, please contact [email protected]. A GIANT WHIFF: WHY THE NEW CBA FAILS BASEBALL'S SMARTEST SMALL MARKET FRANCHISES INTRODUCTION Just before Game 3 of the World Series, viewers saw something en- tirely unexpected. No, it wasn't the sight of the Cardinals and Tigers playing baseball in late October. Instead, it was Commissioner Bud Selig and Donald Fehr, the head of Major League Baseball Players' Association (MLBPA), gleefully announcing a new Collective Bar- gaining Agreement (CBA), thereby guaranteeing labor peace through 2011.1 The deal was struck a full two months before the 2002 CBA had expired, an occurrence once thought as likely as George Bush and Nancy Pelosi campaigning for each other in an election year.2 Baseball insiders attributed the deal to the sport's economic health. -
Clips for 7-12-10
MEDIA CLIPS – July 26th, 2018 Blackmon walks it off as Rox hold Astros to 1 hit By Thomas Harding and Anne Rogers MLB.com Jul. 25th, 2018 DENVER -- Standout starting pitching works for the Rockies, eventually -- even when the opponent is the defending World Series champions. And Charlie Blackmon made sure. Jon Gray held the Astros to one hit in seven innings, but had to wait along with the Coors Field crowd of 40,948, until Blackmon's walkoff homer off Collin McHugh with one out in the bottom of the ninth gave the Rockies a 3-2 victory on Wednesday night. It was Blackmon whose 10th-inning error on Tuesday night, his first of the season, opened the door for a six-run rally and an 8-2 Astros victory. This time, Blackmon's 20th homer of the season -- and first career walk-off blast -- pulled the Rockies to 1 1/2 games behind the National League West-leading Dodgers and one game behind the second-place D- backs.. 25th, 2018 "That's the beauty of baseball," Blackmon said. "You can stink, which is OK. As long as you don't stink the next time and the next time. That's what makes baseball great. It's a long season, and we have a chance." The Rockies had lost their previous two games, but have won 16 of their last 21. The two-game split with the Astros, who lead the American League West, came after five straight series wins over teams above .500.25th, 2018 In his second straight standout start since a brief demotion to Triple-A Albuquerque, Gray struck out six and walked two. -
Openwar: an Open Source System for Overall Player Performance in MLB
OpenWAR: An Open Source System for Overall Player Performance in MLB Ben Baumer1 Shane Jensen2 Gregory Matthews3 1 Smith College 2 The Wharton School University of Pennsylvania 3 University of Massachusetts Joint Mathematical Meetings Baltimore, MD January 17th, 2014 Baumer (Smith) openWAR JMM 1 / 21 Introduction Motivation WAR - What is it good for? WinsAboveReplacement Question: How large is the contribution that each player makes towards winning? Four Components: 1 Batting 2 Baserunning 3 Fielding 4 Pitching Replacement Player: Hypothetical 4A journeyman I Much worse than an average player Baumer (Smith) openWAR JMM 2 / 21 Introduction Motivation Units and Scaling In terms of absolute runs: Me Replacement Average Miguel Cabrera 10 40 90 140 In terms of Runs Above Replacement( RAR): Me Replacement Average Miguel Cabrera −30 0 50 100 In terms of Wins Above Replacement( WAR): Me Replacement Average Miguel Cabrera −3 0 5 10 Baumer (Smith) openWAR JMM 3 / 21 Introduction Motivation Example: 2012 WAR leaders FanGraphs fWAR BB-Ref rWAR Mike Trout 10.0 Mike Trout 10.9 Robinson Cano 7.8 Robinson Cano 8.5 Buster Posey 7.7 Buster Posey 7.4 Ryan Braun 7.6 Miguel Cabrera 7.3 David Wright 7.4 Andrew McCutchen 7.2 Chase Headley 7.2 Adrian Beltre 7.0 Miguel Cabrera 6.8 Ryan Braun 7.0 Andrew McCutchen 6.8 Yadier Molina 6.9 Table : 2012 WAR Leaders Baseball Prospectus also publishes WARP There is no ONE formula for WAR! Baumer (Smith) openWAR JMM 4 / 21 Introduction Motivation WAR is the Answer Baumer (Smith) openWAR JMM 5 / 21 Introduction Related