DOCSLIB.ORG

Baseball Rel

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Baseball Rel 2006 NEC BASEBALL N EWS & N OTES 200 Cottontail Lane, Vantage Court North, Somerset, NJ 08873 Baseball Contact: Donna Poyant, Assistant Commissioner Phone: 732-469-0440/Fax: 732-469-0744 E-Mail: [email protected] Central Connecticut State • Fairleigh Dickinson • Long Island • Monmouth • Mount St. Mary’s Quinnipiac • Robert Morris • Sacred Heart • St. Francis (NY) • St. Francis (PA) • Wagner NEC Baseball Northeast Conference Baseball Facts & Figures (Week 5 - April 3, 2006) This Week’s Schedule School NEC Pct. Overall Pct. Streak Home Away Neutral Tuesday, April 4 Saturday, April 8 1. Monmouth 6-0 1.000 12-10 .545 W9 3-0 7-8 2-2 St. John’s at ST. FRANCIS (NY) LONG ISLAND at CCSU (DH) Wagner 3-0 1.000 4-17 .190 W3 0-2 4-13 0-2 WAGNER at Rutgers FDU at SFNY (DH) 3. Sacred Heart 5-1 .833 11-13 .458 W5 4-1 7-2 0-10 CCSU at Rhode Island WAGNER at MT. ST. MARY’S (DH) 4. Quinnipiac 4-2 .667 8-12-1 .405 W1 7-3 1-9-2 0-0 LONG ISLAND at Hofstra QUINNIPIAC at SACRED HEART (DH) 5. Mount St. Mary's 3-3 .500 10-13 .435 L1 3-5 4-4 3-4 Siena at QUINNIPIAC SACRED HEART at Iona Sunday, April 9 6. Central Connecticut State 1-2 .333 14-7 .667 W1 8-2 6-5 0-0 Princeton at MONMOUTH LONG ISLAND at CCSU 7. Long Island 1-5 .167 4-15-1 .225 L3 2-5 2-5-1 0-5 FAIRLEIGH DICKINSON at SFNY Fairleigh Dickinson 1-5 .167 3-18 .143 L6 0-4 2-9 1-5 Wednesday, April 5 QUINNIPIAC at SACRED HEART St. Francis (NY) 0-6 .000 2-13 .133 L8 0-5 1-5 1-3 Rutgers at MONMOUTH WAGNER at MT. ST. MARY’S Yale at QUINNIPIAC NJIT at MONMOUTH The top four teams based on conference winning percentage qualify for the NEC Tournament. St. Joseph’s at LONG ISLAND CCSU at Boston College WAGNER at Fordham For starting times, Akadema NEC Player of the Week ST. FRANCIS (NY) at Stony Brook see Schedule/Results page. FDU at St. John’s (DH) Nick Massari, Monmouth Sr., SS, L/R, 5-8, 175 lbs., Trenton, NJ/Hamilton West Thursday, April 6 Massari batted .688 (11-for-16) with 14 runs scored, 13 runs batted in, four doubles, two home runs and MONMOUTH at Columbia one stolen base in a 4-0 week for Monmouth, to help extend the Hawks win streak to nine games. The St. Peter’s at FAIRLEIGH DICKINSON senior shortstop started the week going 5-for-6 with seven runs, six RBI, three doubles, one sacrifice fly Akadema NEC Player of the Week and one stolen base in a 35-1 win over Temple. Massari then posted three two-hit games against NEC rival Long Island during a three-game series sweep. In doubleheader action on Saturday (W 14-0, W 8-1), he Mar. 6 John Romano, Central Connecticut St. Mar. 13 Scott Appleton, Central Connecticut St. went 4-for-7 with four RBI, three walks, one double and two home runs, both of which came in Game 1 Mar. 20 Seth Brown, Central Connecticut St. action. In Sunday’s 14-1 win over the Blackbirds, Massari was 2-for-3 with three runs scored and three Mar. 27 Jeff Mainetti, Quinnipiac runs batted in. For the week, he had an astonishing 1.313 slugging percentage and .750 on base Apr. 3 Nick Massari, Monmouth percentage. On the year, Massari is hitting .312 and tops the NEC in runs batted in (25), ranks second in runs scored (23) and home runs (4) and fourth in slugging percentage (.562). Akadema NEC Pitcher of the Week Mar. 6 Dustin Pease, Mount St. Mary’s Mar. 13 Derek Roberts, Central Connecticut St. Akadema NEC Pitcher of the Week Mar. 20 Matt Gianini, Central Connecticut St. Joe Cummings, Monmouth Mar. 27 Dustin Pease, Mount St. Mary’s Sr., LHP, 5-10, 175 lbs., Toms River, NJ/Toms River East Apr. 3 Joe Cummings, Monmouth Cummings is named Akadema NEC Pitcher of the Week after posting a 14-0 shutout win over Long Island Akadema NEC Rookie of the Week to open the three-game weekend series on Saturday. The senior southpaw threw a complete game seven Mar. 6 Richie Tri, Central Connecticut St. inning shutout, scattering six hits and striking out three, while walking only one. So far this season, Mar. 13 Richie Tri, Central Connecticut St. Cummings is 3-2 with a 4.35 ERA and 20 strikeouts. Mar. 20 Richie Tri, Central Connecticut St. Mar. 27 Kenny Cedel, Long Island Apr. 3 Rick Niederhaus, Monmouth Akadema NEC Rookie of the Week Rick Niederhaus, Monmouth NEC Baseball Tournament Fr., DH, 6-3, 195 lbs., Whitehouse Station, NJ/Hunterdon Central May 25-27 Niederhaus posted a .615 slugging percentage and batted .462 with five runs batted in, one run scored, at FirstEnergy Park, Lakewood, New Jersey one triple and one walk in a four win week for Monmouth last week. The rookie designated hitter went Four team, double-elimination tournament 2-for-3 with an RBI in the win over Temple. In the opening game doubleheader against LIU on Saturday, Niederhaus was 2-for-4 and in the nightcap, was 1-for-2 with an RBI and a walk. He closed out the week NEC Website on Sunday with a bases loaded triple against the Blackbirds, finishing the day 1-for-4 with three RBI and For all the latest news, scores, statistics and notes, visit one run scored. On the year, Niederhaus is hitting .364 to rank sixth in the conference in batting average the NEC website at www.northeastconference.org and has recorded 16 hits, two doubles, two triples, 11 RBI and six runs. Standings are updated daily; statistics are updated weekly. 2006 NEC Baseball Schedule/Results Schedule Subject To Change. All times are local. Central Connecticut State Fairleigh Dickinson Long Island (14-7, 1-2 NEC) (3-18, 1-5 NEC) (4-15-1, 1-5 NEC) M 4 at Navy (DH) L 3-4, L 2-5 F 25 at Seton Hall Cancelled M 4 at Md. Eastern Shore (DH) L 3-5, T 1-1 (7) M 5 at Navy W 12-9 M 4 at Coppin State (DH) L 2-10, W 4-3 M 5 at Md. Eastern Shore W 11-7 M 8 Hartford W 10-4 M 5 at Coppin State (DH) L 2-8, L 4-11 M 11-15 at West Palm Beach, FL M 10 at La Salle W 13-5 M 11 at Delaware State (DH) L 1-4, L 9-11 M 11 vs. Seton Hall L 0-9 M 11 at Villanova W 14-13 M 12 at Delaware State L 8-9 M 12 vs. St. Bonaventure L 2-17 M 12 at La Salle Cancelled M 14-18 at Bradenton, FL M 13 vs. Maine L 5-16 M 15 Hartford W 13-7 M 14 vs. Northern Iowa L 5-7 M 14 vs. Manhattan L 2-14 M 18 at Holy Cross (DH) L 1-2, W 6-5 (8) M 15 vs. Bradley L 2-11 M 15 vs. Maine L 6-10 M 19 Holy Cross W 20-6 M 16 vs. Fairfield W 7-4 M 17-19 at Philadelphia Spring Tourney (Philadelphia, PA) M 17 vs. Army (DH) L 1-3, L 1-10 M 17 at Temple L 6-7 M 21 Boston College W 7-6 M 18 at St. Joseph’s L 6-11 M 22 at Fairfield W 6-1 M 18 vs. Vermont L 2-18 M 22 Iona L 3-13 M 19 at Villanova L 1-5 M 25 at MOUNT ST. MARY’S (DH) W 4-1, L 0-7 M 21 at Rhode Island L 1-4 M 26 at MOUNT ST. MARY’S L 3-4 M 25 at QUINNIPIAC (DH) W 7-5, L 1-10 M 26 at QUINNIPIAC L 2-19 M 25 SACRED HEART (DH) L 2-4, L 0-3 M 29 Vermont (DH) L 3-11, W 9-6 M 26 SACRED HEART W 7-0 M 30 Fairfield W 7-4 M 28 at Hofstra L 1-8 A 1 WAGNER (DH) L 1-2, L 1-11 M 28 St. Peter’s W 7-3 A 1 Binghamton (DH) W 12-8, L 1-10 M 29 at Rider W 7-5 A 2 Binghamton W 11-2 A 2 WAGNER L 7-8 A 1 MONMOUTH (DH) L 0-14, L 1-8 A 4 at Rhode Island 3:00 pm A 5 at St. John’s (DH) 3:30 pm A 2 MONMOUTH L 1-14 A 5 at Boston College 3:00 pm A 6 St. Peter’s 3:30 pm A 4 at Hofstra 3:00 pm A 8 LONG ISLAND (DH) 12:00 pm A 8 at ST. FRANCIS (NY) (DH) 12:00 pm xA 8 at CENTRAL CONNECTICUT STATE (DH) 12:00 pm A 9 LONG ISLAND 12:00 pm A 9 at ST. FRANCIS (NY) 12:00 pm A 9 at CENTRAL CONNECTICUT STATE 12:00 pm A 13 at ST. FRANCIS (NY) (DH) 12:00 pm A 12 at New York Inst. of Tech. 3:30 pm A 11 at New York Inst. of Tech. 3:30 pm A 15 at ST.
Load more

Recommended publications
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • 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).
    [Show full text]
  • 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.
    [Show full text]
  • BYU Baseball
    BYU Baseball Athletic Communications • 30 Smith Fieldhouse • Provo, UT, 84602 Contact: Ralph Zobell • Office: (801) 422-9769 • Fax: (801) 422-0633 e-mail: [email protected] Follow BYU baseball at http://www.facebook.com/BYUbaseball BYU 2012 Schedule/Results BYU [14-12, 6-3] vs. Seattle (15-12] Date Opponent Time at site of game Probable BYU Pitching Rotation Feb 17, Fri. @ UC Riverside L, 0-5 Apr. 12 @ Seattle Chris Capper (2-4, 2.72) 3 p.m. PDT Feb 17, Fri. @ UC Riverside W, 6-2 Apr. 12 @ Seattle Marc Oslund (2-0, 3.05) 6 p.m. PDT Feb 18, Sat. @ UC Riverside W, 8-4, 10 inn. Feb 23, Thu. @ St. Mary’s*$ L, 2-7 Apr. 13 @ Seattle Desmond Poulson (0-2, 5.17) 3 p.m. PDT Feb 24, Fri. @ St. Mary’s*$ W, 4-1 Apr. 14 @ Seattle TBA 1 p.m. PDT Feb 25, Sat. @ St. Mary’s*$ W, 7-3 Feb 28, Tue. @ Arkansas L, 0-5 Feb 29, Wed. @ Arkansas L, 1-8 Coverage This Week Mar 8, Thu. @ UC Irvine L, 1-3 Mar 9, Fri. @ UC Irvine W, 6-1 The games will be available through livestats, live audio and select- Mar 10, Sat. @ UC Irvine L, 2-9 ed video online through links available at http://byucougars.com/ Mar 12, Mon. @ Nebraska Omaha W, 19-9 schedule/m-baseball/2012. None of the games will be broadcast live Mar 13, Tue. @ Creighton L, 0-2 Mar 17, Sat. Seattle$= L, 1-2 on Radio 960 AM. Mar 17, Sat.
    [Show full text]
  • 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.
    [Show full text]
  • How to Do Stats
    EXPLANATION OF STATS IN SCORE BOOK FIELDING STATISTICS COLUMNS DO - Defensive Outs The number of put outs the team participated in while each player was in the line-up. Defensive outs are used in National Championships as a qualification rule. PO - Put out (10.09) A putout shall be credited to each fielder who (1) Catches a fly ball or a line drive, whether fair or foul. (2) Catches a thrown ball, which puts out a batter or a runner. (3) Tags a runner when the runner is off the base to which he is legally entitled. A – Assist (10.10) Any fielder who throws or deflects a battered or thrown ball in such a way that a putout results or would have except for a subsequent error, will be credited with an Assist. E – Error (10.12) An error is scored against any fielder who by any misplay (fumble, muff or wild throw) prolongs the life of the batter or runner or enables a runner to advance. BATTING STATISTICS COLUMNS PA - Plate Appearance Every time the batter completes his time at bat he is credited with a PA. Note: if the third out is made in the field he does not get a PA but is first to bat in the next innings. AB - At Bat (10.02(a)(1)) When a batter has reached 1st base without the aid of an ‘unofficial time at bat’. i.e. do not include Base on Balls, Hit by a Pitched Ball, Sacrifice flies/Bunts and Catches Interference. R – Runs (2.66) every time the runner crosses home plate scoring a run.
    [Show full text]
  • NFCA Home Plate: ATEC: Beyond the Basics of Scoring Fastpitch Softball
    NFCA Home Plate: ATEC: Beyond the Basics of Scoring Fastpitch Softball by Jeri Findlay Published by National Fastpitch Coaches Association Copyright 1999. All Right Reserved Introduction Basic Guidelines and Scorer Responsibilities Proving A Box Score Percentages and Averages Cumulative Performance Records Called and Forfeited Games Offense: Statistics Offense: Hits Offense: Extra Base Hits Offense: Game Ending Hits Offense: Fielder's Choice Offense: Sacrifices Offense: Runs Batted In (RBI) Offense: Batting Out of Order Offense: Strikeouts Offense: Stolen Bases Offense: Caught Stealing (Unsuccessful Attempt) Defense: Statistics Defense: Errors Defense: Putouts Defense: Assists Defense: Double Play/Triple Play Defense: Throw Outs Pitching: Statistics Pitching: Earned Runs Pitching: Charging Runs Scored (When Relief Pitchers Are Used) Pitching: Strikeouts Pitching: Bases On Balls Pitching: Wild Pitches/Passed Balls Pitching: Winning and Losing Pitcher Pitching: Saves Scoring The Tie-Breaker Some images Copyright www.arttoday.com Web design by Ray Foster. Reproduction of material from any NFCA Home Plate pages without written permission is strictly prohibited. Copyright ©1999 National Fastpitch Coaches Association. NFCA, 409 Vandiver Drive, Suite 5-202, Columbia, MO 65202 TELEPHONE (573) 875-3033 | FAX (573) 875-2924 | EMAIL http://www.nfca.org/indexscoringfp.lasso [1/27/2002 2:21:41 AM] NFCA Homeplate: ATEC: Beyond The Basics of Scoring Fastpitch Softball TABLE OF CONTENTS Introduction Introduction Basic Guidelines and Scorer - - - - - - - - - - - - - - - - - - - - - - - Responsibilities Proving A Box Score Published by: National Softball Coaches Association Percentages and Averages Written by Jeri Findlay, Head Softball Coach, Ball State University Cumulative Performance Records Introduction Called and Forfeited Games Scoring in the game of fastpitch softball seems to be as diversified as the people Offense: Statistics playing it.
    [Show full text]
  • Package 'Mlbstats'
    Package ‘mlbstats’ March 16, 2018 Type Package Title Major League Baseball Player Statistics Calculator Version 0.1.0 Author Philip D. Waggoner <[email protected]> Maintainer Philip D. Waggoner <[email protected]> Description Computational functions for player metrics in major league baseball including bat- ting, pitching, fielding, base-running, and overall player statistics. This package is actively main- tained with new metrics being added as they are developed. License MIT + file LICENSE Encoding UTF-8 LazyData true RoxygenNote 6.0.1 NeedsCompilation no Repository CRAN Date/Publication 2018-03-16 09:15:57 UTC R topics documented: ab_hr . .2 aera .............................................3 ba ..............................................4 baa..............................................4 babip . .5 bb9 .............................................6 bb_k.............................................6 BsR .............................................7 dice .............................................7 EqA.............................................8 era..............................................9 erc..............................................9 fip.............................................. 10 fp .............................................. 11 1 2 ab_hr go_ao . 11 gpa.............................................. 12 h9.............................................. 13 iso.............................................. 13 k9.............................................. 14 k_bb............................................
    [Show full text]
  • Changing Baseball Forever Jake Sumeraj College of Dupage
    ESSAI Volume 12 Article 34 Spring 2014 Changing Baseball Forever Jake Sumeraj College of DuPage Follow this and additional works at: http://dc.cod.edu/essai Recommended Citation Sumeraj, Jake (2014) "Changing Baseball Forever," ESSAI: Vol. 12, Article 34. Available at: http://dc.cod.edu/essai/vol12/iss1/34 This Selection is brought to you for free and open access by the College Publications at DigitalCommons@COD. It has been accepted for inclusion in ESSAI by an authorized administrator of DigitalCommons@COD. For more information, please contact [email protected]. Sumeraj: Changing Baseball Forever Changing Baseball Forever by Jake Sumeraj (Honors English 1102) idden in the back rooms of any modern major league baseball franchise are a select few individuals that are drastically changing the way teams operate. Using numbers and Hborderline obsessive tracking of each player’s every move, they see things that elude the everyday baseball fan. These are the baseball analysts. Although they do the research that can potentially decide which player becomes the face of the team, these analysts can likely walk the city streets without a single diehard fan knowing who they are. Baseball analysts get almost zero publicity. However, their work is clearly visible at any baseball game. A catcher’s decision to call for a 2-0 curveball to a power hitter, the manager’s choice to continuously play a hitter that’s only batting 0.238, and a defensive shift to the left that leaves the entire right side of the infield open are all moves that are the result of research done by analysts.
    [Show full text]
  • Investigating Major League Baseball Pitchers and Quality of Contact Through Cluster Analysis
    Grand Valley State University ScholarWorks@GVSU Honors Projects Undergraduate Research and Creative Practice 4-2020 Investigating Major League Baseball Pitchers and Quality of Contact through Cluster Analysis Charlie Marcou Grand Valley State University Follow this and additional works at: https://scholarworks.gvsu.edu/honorsprojects Part of the Sports Sciences Commons, and the Statistics and Probability Commons ScholarWorks Citation Marcou, Charlie, "Investigating Major League Baseball Pitchers and Quality of Contact through Cluster Analysis" (2020). Honors Projects. 765. https://scholarworks.gvsu.edu/honorsprojects/765 This Open Access is brought to you for free and open access by the Undergraduate Research and Creative Practice at ScholarWorks@GVSU. It has been accepted for inclusion in Honors Projects by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Investigating Major League Baseball Pitchers and Quality of Contact through Cluster Analysis Charlie Marcou Introduction The rise of sabermetrics, the quantitative analysis of baseball, has changed how baseball front offices operate, how prospects are evaluated and developed, and how baseball is played on the field. Stolen bases are on the decline, while strikeouts, walks, and homeruns have steadily increased. Hitters care more and more about their launch angle and pitchers have started using high speed cameras to analyze their movement. Despite these changes, there are still many areas that need investigation. This paper seeks to investigate the quality of contact that a pitcher allows. Not much is currently known about quality of contact, but if factors determining quality of contact could be determined it could assist teams in identifying and developing pitching talent.
    [Show full text]
  • BASEBALL 2007 Roster 5 2007 Preview 6 Schedule 2007 Seawolves 7-14 DATE OPPONENT LOCATION TIME 2006 Review Fri-Feb
    Table of Contents 2007 Information 2007 Seawolves Schedule 1 Head Coach John Goelz 2 Assistant Coaches 3-4 BASEBALL 2007 Roster 5 2007 Preview 6 Schedule 2007 Seawolves 7-14 DATE OPPONENT LOCATION TIME 2006 Review Fri-Feb. 2 CAL STATE MONTEREY BAY ROHNERT PARK 2:00 pm 2006 Highlights 16 Sat-Feb. 3 CAL STATE MONTEREY BAY (dh) ROHNERT PARK 11:00 am 2006 Results 16 Tue-Feb. 6 SAN FRANCISCO STATE ROHNERT PARK 2:00 pm 2006 Statistics 17-19 Thu-Feb. 8 WESTERN OREGON ROHNERT PARK 2:00 pm 2006 Honors 19 Sat-Feb. 10 Western Oregon San Francisco, Calif 2:00 pm 2006 CCAA Standings 20 Fri-Feb. 16 Grand Canyon Phoenix, Ariz 5:00 pm 2006 All-Conference Honors 20 2006 CCAA Leaders 21 Sat-Feb. 17 Grand Canyon (dh) Phoenix, Ariz 12:00 pm Sun-Feb. 18 Grand Canyon Phoenix, Ariz 11:00 am SSU Baseball History Sat-Feb. 24 CAL STATE STANISLAUS* (dh) ROHNERT PARK 11:00 am Yearly Team Honors 22 Sun-Feb. 25 CAL STATE STANISLAUS* (dh) ROHNERT PARK 11:00 am All-Time Awards 22-23 Fri-Mar. 2 UC SAN DIEGO* ROHNERT PARK 2:00 pm All-Americans 24 Sat-Mar. 3 UC SAN DIEGO* (dh) ROHNERT PARK 11:00 am All-Time SSU Baseball Team 25 Sun-Mar. 4 UC SAN DIEGO* ROHNERT PARK 11:00 am Yearly Leaders 26-27 Fri-Mar. 9 Cal State Dominguez Hills* Carson, Calif 2:00 pm Records 28-30 Sat-Mar. 10 Cal State Dominguez Hills* (dh) Carson, Calif 11:00 am Yearly Team Statistics 30 Sun-Mar.
    [Show full text]