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2021 District 41 Inter-League Rules
2021 District 41 Inter-League Rules Objective: Promote, develop, supervise, and voluntarily assist in all lawful ways, the interest of those who will participate in Little League Baseball. District 41 leagues participating in Inter- league play will adhere to the same rules for the 2021 Season. General: The “2021 Official Regulations and Playing Rules of Little League Baseball” will be strictly enforced, except those rules adopted by these Bylaws. All Managers, Coaches and Umpires shall familiarize themselves with all rules contained in the 2021 Official Regulations and Playing Rules of Little League Baseball (Blue Book/ LL app). All Managers, Coaches and Umpires shall familiarize themselves with District 41 2021 Inter-league Bylaws District 41 Division Bylaws • Tee-Ball Division: • Teams can either use the tee or coach pitch • Each field must have a tee at their field • A Tee-ball game is 60-minutes maximum. • Each team will bat the entire roster each inning. Official scores or standings shall not be maintained. • Each batter will advance one base on a ball hit to an infielder or outfielder, with a maximum of two bases on a ball hit past an outfielder. The last batter of each inning will clear the bases and run as if a home run and teams will switch sides. • No stealing of bases or advancing on overthrows. • A coach from the team on offense will place/replace the balls on the batting tee. • On defense, all players shall be on the field. There shall be five/six (If using a catcher) infield positions. The remaining players shall be positioned in the outfield. -
NCAA Statistics Policies
Statistics POLICIES AND GUIDELINES CONTENTS Introduction ���������������������������������������������������������������������������������������������������������������������� 3 NCAA Statistics Compilation Guidelines �����������������������������������������������������������������������������������������������3 First Year of Statistics by Sport ���������������������������������������������������������������������������������������������������������������4 School Code ��������������������������������������������������������������������������������������������������������������������������������������������4 Countable Opponents ������������������������������������������������������������������������������������������������������ 5 Definition ������������������������������������������������������������������������������������������������������������������������������������������������5 Non-Countable Opponents ����������������������������������������������������������������������������������������������������������������������5 Sport Implementation ������������������������������������������������������������������������������������������������������������������������������5 Rosters ������������������������������������������������������������������������������������������������������������������������������ 6 Head Coach Determination ���������������������������������������������������������������������������������������������������������������������6 Co-Head Coaches ������������������������������������������������������������������������������������������������������������������������������������7 -
NCAA Division I Baseball Records
Division I Baseball Records Individual Records .................................................................. 2 Individual Leaders .................................................................. 4 Annual Individual Champions .......................................... 14 Team Records ........................................................................... 22 Team Leaders ............................................................................ 24 Annual Team Champions .................................................... 32 All-Time Winningest Teams ................................................ 38 Collegiate Baseball Division I Final Polls ....................... 42 Baseball America Division I Final Polls ........................... 45 USA Today Baseball Weekly/ESPN/ American Baseball Coaches Association Division I Final Polls ............................................................ 46 National Collegiate Baseball Writers Association Division I Final Polls ............................................................ 48 Statistical Trends ...................................................................... 49 No-Hitters and Perfect Games by Year .......................... 50 2 NCAA BASEBALL DIVISION I RECORDS THROUGH 2011 Official NCAA Division I baseball records began Season Career with the 1957 season and are based on informa- 39—Jason Krizan, Dallas Baptist, 2011 (62 games) 346—Jeff Ledbetter, Florida St., 1979-82 (262 games) tion submitted to the NCAA statistics service by Career RUNS BATTED IN PER GAME institutions -
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. -
The Rules of Scoring
THE RULES OF SCORING 2011 OFFICIAL BASEBALL RULES WITH CHANGES FROM LITTLE LEAGUE BASEBALL’S “WHAT’S THE SCORE” PUBLICATION INTRODUCTION These “Rules of Scoring” are for the use of those managers and coaches who want to score a Juvenile or Minor League game or wish to know how to correctly score a play or a time at bat during a Juvenile or Minor League game. These “Rules of Scoring” address the recording of individual and team actions, runs batted in, base hits and determining their value, stolen bases and caught stealing, sacrifices, put outs and assists, when to charge or not charge a fielder with an error, wild pitches and passed balls, bases on balls and strikeouts, earned runs, and the winning and losing pitcher. Unlike the Official Baseball Rules used by professional baseball and many amateur leagues, the Little League Playing Rules do not address The Rules of Scoring. However, the Little League Rules of Scoring are similar to the scoring rules used in professional baseball found in Rule 10 of the Official Baseball Rules. Consequently, Rule 10 of the Official Baseball Rules is used as the basis for these Rules of Scoring. However, there are differences (e.g., when to charge or not charge a fielder with an error, runs batted in, winning and losing pitcher). These differences are based on Little League Baseball’s “What’s the Score” booklet. Those additional rules and those modified rules from the “What’s the Score” booklet are in italics. The “What’s the Score” booklet assigns the Official Scorer certain duties under Little League Regulation VI concerning pitching limits which have not implemented by the IAB (see Juvenile League Rule 12.08.08). -
An Offensive Earned-Run Average for Baseball
OPERATIONS RESEARCH, Vol. 25, No. 5, September-October 1077 An Offensive Earned-Run Average for Baseball THOMAS M. COVER Stanfortl University, Stanford, Californiu CARROLL W. KEILERS Probe fiystenzs, Sunnyvale, California (Received October 1976; accepted March 1977) This paper studies a baseball statistic that plays the role of an offen- sive earned-run average (OERA). The OERA of an individual is simply the number of earned runs per game that he would score if he batted in all nine positions in the line-up. Evaluation can be performed by hand by scoring the sequence of times at bat of a given batter. This statistic has the obvious natural interpretation and tends to evaluate strictly personal rather than team achievement. Some theoretical properties of this statistic are developed, and we give our answer to the question, "Who is the greatest hitter in baseball his- tory?" UPPOSE THAT we are following the history of a certain batter and want some index of his offensive effectiveness. We could, for example, keep track of a running average of the proportion of times he hit safely. This, of course, is the batting average. A more refined estimate ~vouldb e a running average of the total number of bases pcr official time at bat (the slugging average). We might then notice that both averages omit mention of ~valks.P erhaps what is needed is a spectrum of the running average of walks, singles, doublcs, triples, and homcruns per official time at bat. But how are we to convert this six-dimensional variable into a direct comparison of batters? Let us consider another statistic. -
MLB Statistics Feeds
Updated 07.17.17 MLB Statistics Feeds 2017 Season 1 SPORTRADAR MLB STATISTICS FEEDS Updated 07.17.17 Table of Contents Overview ....................................................................................................................... Error! Bookmark not defined. MLB Statistics Feeds.................................................................................................................................................. 3 Coverage Levels........................................................................................................................................................... 4 League Information ..................................................................................................................................................... 5 Team & Staff Information .......................................................................................................................................... 7 Player Information ....................................................................................................................................................... 9 Venue Information .................................................................................................................................................... 13 Injuries & Transactions Information ................................................................................................................... 16 Game & Series Information .................................................................................................................................. -
Baseball U Maryland Defensive Philosophy
Baseball U Maryland Defensive Philosophy Defense LONG TOSS AS MUCH AS POSSIBLE Individual skill work is a priority GET BETTER everyday Team Defensive Concepts: We will be fundamentally sound defensively- both physically and mentally. 1. Win the Free Base War : BB,HBP, errors, extra bases, mental mistakes 2. Prevent the Big Inning : 3 or more runs 3. Keep Double Play a pitch away (keep runners at 1B) 4. Communicate, Communicate, Communicate Goal: .970 fielding percentage (relates to 1 per game) - majority of errors should be IF play (3b,SS, 2b)- 1B, C, P, and OF cannot attribute to errors. Catching a. Catcher needs to be the most athletic guy on the field…VERY TOUGH b. Catcher has to be a LEADER…MUST BE VOCAL…confidence is key a. MUST be constantly communicating the defense b. MUST know each pitcher and situation c. Before the 1st pitch is thrown, get to know the umpire-“Good Morning, my name is …..” d. Calling Pitches: a. When giving signs, they must be hidden b. Be consistent when calling pitches (i.e. 1-FB, 2 CB, etc.)(Be consistent with a runner on base (i.e. 2nd sign, etc.) c. Know what the Pitchers BEST pitch is THAT DAY d. Avoid tendencies (i.e. every 0-2 count, throw CB) e. Defensive tenets: a. Receiving (80%) (1) be on time, (2) manipulate the ball, (3) keep strikes strikes i. 1 knee vs. 2 knee stances…comfort, try it all in bullpens for best results b. Blocking (15%) (1) know the pitcher, (2) anticipate block, (3) control the baseball i. -
Improving the FIP Model
Project Number: MQP-SDO-204 Improving the FIP Model A Major Qualifying Project Report Submitted to The Faculty of Worcester Polytechnic Institute In partial fulfillment of the requirements for the Degree of Bachelor of Science by Joseph Flanagan April 2014 Approved: Professor Sarah Olson Abstract The goal of this project is to improve the Fielding Independent Pitching (FIP) model for evaluating Major League Baseball starting pitchers. FIP attempts to separate a pitcher's controllable performance from random variation and the performance of his defense. Data from the 2002-2013 seasons will be analyzed and the results will be incorporated into a new metric. The new proposed model will be called jFIP. jFIP adds popups and hit by pitch to the fielding independent stats and also includes adjustments for a pitcher's defense and his efficiency in completing innings. Initial results suggest that the new metric is better than FIP at predicting pitcher ERA. Executive Summary Fielding Independent Pitching (FIP) is a metric created to measure pitcher performance. FIP can trace its roots back to research done by Voros McCracken in pursuit of winning his fantasy baseball league. McCracken discovered that there was little difference in the abilities of pitchers to prevent balls in play from becoming hits. Since individual pitchers can have greatly varying levels of effectiveness, this led him to wonder what pitchers did have control over. He found three that stood apart from the rest: strikeouts, walks, and home runs. Because these events involve only the batter and the pitcher, they are referred to as “fielding independent." FIP takes only strikeouts, walks, home runs, and innings pitched as inputs and it is scaled to earned run average (ERA) to allow for easier and more useful comparisons, as ERA has traditionally been one of the most important statistics for evaluating pitchers. -
Applied Operational Management Techniques for Sabermetrics
Applied Operational Management Techniques for Sabermetrics An Interactive Qualifying Project Report submitted to the faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Bachelor of Science by Rory Fuller ______________________ Kevin Munn ______________________ Ethan Thompson ______________________ May 28, 2005 ______________________ Brigitte Servatius, Advisor Abstract In the growing field of sabermetrics, storage and manipulation of large amounts of statistical data has become a concern. Hence, construction of a cheap and flexible database system would be a boon to the field. This paper aims to briefly introduce sabermetrics, show why it exists, and detail the reasoning behind and creation of such a database. i Acknowledgements We acknowledge first and foremost the great amount of work and inspiration put forth to this project by Pat Malloy. Working alongside us on an attached ISP, Pat’s effort and organization were critical to the success of this project. We also recognize the source of our data, Project Scoresheet from retrosheet.org. The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at 20 Sunset Rd., Newark, DE 19711. We must not forget our advisor, Professor Brigitte Servatius. Several of the ideas and sources employed in this paper came at her suggestion and proved quite valuable to its eventual outcome. ii Table of Contents Title Page Abstract i Acknowledgements ii Table of Contents iii 1. Introduction 1 2. Sabermetrics, Baseball, and Society 3 2.1 Overview of Baseball 3 2.2 Forerunners 4 2.3 What is Sabermetrics? 6 2.3.1 Why Use Sabermetrics? 8 2.3.2 Some Further Financial and Temporal Implications of Baseball 9 3. -
Mcminnville Grizzly Grand Slam JBO Invitational Baseball Tournament Supplemental Tournament Rules
McMinnville Grizzly Grand Slam JBO Invitational Baseball Tournament Supplemental Tournament Rules TOURNAMENT RULES: Official Tournament rules will be as outlined in the most current edition of the official NFHS rule book, as adopted and modified by the OSAA, as modified in the 2015 JBO rulebook (located online at http://juniorbaseballorg.com/images/documents/2015_jbo_book_web.pdf ) or as outlined in our tournament rules. General Tournament Information: Tournaments are a (3) three game guaranteed with Team and Individual player awards awarded to the 1st and 2nd place teams in the gold bracket and 1 st place in silver bracket. Tournament Director Matthew Primbs 971-237-6529 [email protected] All communication prior to and during Tournament weekend shall be directed to the Tournament Director. Tournament Team Information: OFFICIAL ROSTERS: All coaches will need to provide a comprehensive player roster (Full player names and uniform numbers) in advance of the first tournament game played. MJBO will have an “open” roster policy in regards to the original roster submitted to the Tournament Director. No roster substitutions and/or modifications will be allowed after the initial comprehensive player roster is submitted and accepted by MJBO Tournament Director. GAME CHECK IN: Teams shall check in for all scheduled Tournament games with the appropriate site specific Tournament Official approximately twenty (20) minutes prior to the scheduled game time. Roster and/or line-up cards must also be prepared and made available to MJBO and the opposing team’s scorekeeper at least (20) twenty minutes before game time. Tournament Specific Rules: HOME/AWAY DESIGNATION: For pool and/or seeding games - the “home” & “away” team(s) will be determined by the toss of a coin, with the team physically residing the furthest from McMinnville, OR making the “call” prior to the coin being tossed. -
Measuring Production and Predicting Outcomes in the National Basketball Association
Measuring Production and Predicting Outcomes in the National Basketball Association Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Michael Steven Milano, M.S. Graduate Program in Education The Ohio State University 2011 Dissertation Committee: Packianathan Chelladurai, Advisor Brian Turner Sarah Fields Stephen Cosslett Copyright by Michael Steven Milano 2011 Abstract Building on the research of Loeffelholz, Bednar and Bauer (2009), the current study analyzed the relationship between previously compiled team performance measures and the outcome of an “un-played” game. While past studies have relied solely on statistics traditionally found in a box score, this study included scheduling fatigue and team depth. Multiple models were constructed in which the performance statistics of the competing teams were operationalized in different ways. Absolute models consisted of performance measures as unmodified traditional box score statistics. Relative models defined performance measures as a series of ratios, which compared a team‟s statistics to its opponents‟ statistics. Possession models included possessions as an indicator of pace, and offensive rating and defensive rating as composite measures of efficiency. Play models were composed of offensive plays and defensive plays as measures of pace, and offensive points-per-play and defensive points-per-play as indicators of efficiency. Under each of the above general models, additional models were created to include streak variables, which averaged performance measures only over the previous five games, as well as logarithmic variables. Game outcomes were operationalized and analyzed in two distinct manners - score differential and game winner.