State Clinic 2014 January 16-18
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06-21-2012 Lineup.Indd
Los Angeles Dodgers vs. Oakland Athletics · Thursday, June 21, 2012 · 12:35 pm · CSNCA GAME SCORECARD First Pitch: Time of Game: Attendance: Today’s Umpires: About Today’s Game: Offi cial Scorer: Art Santo Domingo HP 55 Angel Hernandez* Throwback Thursday giveaway: A’s scorecard and bag of peanuts (10,000 fans) 1B 98 Chris Conroy A’s Upcoming Games: 2B 15 Ed Hickox June 22 SF RHP Jarrod Parker (3-3, 2.82) vs. RHP Tim Lincecum (2-8, 6.19) 7:05 pm CSNCA 3B 6 Mark Carlson June 23 SF RHP Tyson Ross (2-6, 6.11) vs. LHP Madison Bumgarner (8-4, 2.92) 4:15 pm FOX *Crew chief June 24 SF RHP Brandon McCarthy (6-3, 2.54) vs. RHP Matt Cain (9-2, 2.34) 1:05 pm CSNCA LOS ANGELES DODGERS (42-27) 1 2 3 4 5 6 7 8 9 10 11 12 AB R H RBI 9 Dee GORDON, SS (L) (.228, 1, 15) 37 Elian HERRERA, LF (S) (.283, 0, 14) 16 Andre ETHIER, RF (L) (.286, 10, 55) 21 Juan RIVERA, 1B (.240, 3, 21) 6 Jerry HAIRSTON JR., 2B (.311, 2, 16) 13 Ivan DE JESUS, DH (.310, 0, 4) 5 Juan URIBE, 3B (.240, 1, 12) 10 Tony GWYNN JR., CF (L) (.257, 0, 17) 18 Matt TREANOR, C (.295, 2, 7) LOS ANGELES ROSTER PITCHERS IP H R ER BB SO HR Pitches Coaching Staff: 8 Don Mattingly, Manager 22 LHP Clayton KERSHAW (5-3, 2.86) 45 Trey Hillman, Bench 40 Rick Honeycutt, Pitching 25 Dave Hansen, Hitting 43 Ken Howell, Bullpen 15 Davey Lopes, First Base 26 Tim Wallach, Third Base Bench: Bullpen: Left Left 3 Adam Kennedy IF 35 Chris Capuano SP 7 James Loney IF 57 Scott Elbert RP 23 Bobby Abreu OF Right Right 28 Jamey Wright RP 17 A.J. -
F(Error) = Amusement
Academic Forum 33 (2015–16) March, Eleanor. “An Approach to Poetry: “Hombre pequeñito” by Alfonsina Storni”. Connections 3 (2009): 51-55. Moon, Chung-Hee. Trans. by Seong-Kon Kim and Alec Gordon. Woman on the Terrace. Buffalo, New York: White Pine Press, 2007. Peraza-Rugeley, Margarita. “The Art of Seen and Being Seen: the poems of Moon Chung- Hee”. Academic Forum 32 (2014-15): 36-43. Serrano Barquín, Carolina, et al. “Eros, Thánatos y Psique: una complicidad triática”. Ciencia ergo sum 17-3 (2010-2011): 327-332. Teitler, Nathalie. “Rethinking the Female Body: Alfonsina Storni and the Modernista Tradition”. Bulletin of Spanish Studies: Hispanic Studies and Researches on Spain, Portugal and Latin America 79, (2002): 172—192. Biographical Sketch Dr. Margarita Peraza-Rugeley is an Assistant Professor of Spanish in the Department of English, Foreign Languages and Philosophy at Henderson State University. Her scholarly interests center on colonial Latin-American literature from New Spain, specifically the 17th century. Using the case of the Spanish colonies, she explores the birth of national identities in hybrid cultures. Another scholarly interest is the genre of Latin American colonialist narratives by modern-day female authors who situate their plots in the colonial period. In 2013, she published Llámenme «el mexicano»: Los almanaques y otras obras de Carlos de Sigüenza y Góngora (Peter Lang,). She also has published short stories. During the summer of 2013, she spent time in Seoul’s National University and, in summer 2014, in Kyungpook National University, both in South Korea. https://www.facebook.com/StringPoet/ The Best Players in New York Mets History Fred Worth, Ph.D. -
Spring Notes
SPRING TRAINING GAME NOTES NEW YORK YANKEES (18-6) vs. BOSTON RED SOX (11-12-2) YANKEES ROSTER RHP Bryan Mitchell (2-1, 3.77) vs. LHP Chris Sale (1-0, 3.60) 11 Brett Gardner . OF 12 Chase Headley . .INF Probable relievers for NYY: LHP Aroldis Chapman, RHP Luis Cessa and LHP Jon Niese 14 Starlin Castro . .INF 17 Matt Holliday . .DH Tuesday, March 21, 2017 • GMS Field • Tampa, Florida • 6:35 p.m. ET 18 Didi Gregorius . .INF Game #26 • Home Game #13 • TV: None • Radio: None 19 Masahiro Tanaka . .RHP 22 Jacoby Ellsbury . OF 24 Gary Sánchez . C AT A GLANCE: The New York Yankees will play the 26th exhibition game of their spring schedule tonight vs. the Boston 26 Tyler Austin . .INF/OF Red Sox in Tampa, Fla.… will be the second of two spring training matchups between the two teams in 2017… will play 27 Austin Romine . C 35 total spring games, all but one against MLB opposition (10-4 win vs. Team Canada on 3/8)… are slated for 17 home 28 Joe Girardi . MANAGER games… will play six night games, including fi ve at home (left to play: 3/28 vs. Detroit) and one on the road (3/31 at Atlanta 29 Tyler Clippard^ . .RHP at SunTrust Park)… each of the Yankees’ home night games will start at 6:35 p.m.… marks the Yankees’ 22nd consecutive 30 Rubén Tejada* . .INF season at Steinbrenner Field (1996-2017), formerly Legends Field. 31 Aaron Hicks . OF The Yankees’ 18 spring wins match their highest total since 2010 (18-12-3 in 2012)…their highest win total over the 33 Greg Bird . -
Ohio High School Baseball Coaches Association State Clinic 2016
OHIO HIGH SCHOOL BASEBALL COACHES ASSOCIATION STATE CLINIC 2016 PREPARE FOR THE END JANUARY 21-23 HYATT REGENCY - Columbus HALL OF FAME INDUCTEES Irvin “Frosty” Brown, Bethel HS / Troy HS • John Cannizzaro, Newark Catholic HS Ken Ciolek, Lakewood HS • Glen Morse, New London HS • Greg Wilker, Milbury Lake HS INNOVATIVE PERFORMANCE The demands of the game are not the same for all players. We design each product with innovations to drive your preformance to the next level. Rawlings is the ball of choice for athletes who desire to be the best. PERFORMANCE MATTERS. RAWLINGS IS PROUD TO BE THE OFFICIAL BASEBALL OF THE OHIO HIGH SCHOOL BASEBALL COACHES ASSOCIATION. 4/%$'"+)(*,$'"((+ ('3,(-$+2 OHIO HIGH SCHOOL BASEBALL COACHES ASSOCIATION Dear OHSBCA Members, Welcome to the 65th annual OHSBCA State Clinic. You are a member of the 2nd largest coaches association in the United States. Many high school coaches and college speakers have said that this is one of the best clinics in the nation. I am hop- ing that you are able to take something from this year’s clinic and go back to your school to make the young men in your program better this coming year and for years to come. The theme for the 2016 clinic is “Prepare for the End” and it is my hope that all of you set your goals high and start preparing for your team to reach Huntington Park. My involvement on this board for the past 6 years has allowed me the opportunity to witness great improvements the association has made. It is my honor to give back as Director of the 2016 State Clinic. -
Postseaason Sta Rec Ats & Caps & Re S, Li Ecord Ne S Ds
Postseason Recaps, Line Scores, Stats & Records World Champions 1955 World Champions For the Brooklyn Dodgers, the 1955 World Series was not just a chance to win a championship, but an opportunity to avenge five previous World Series failures at the hands of their chief rivals, the New York Yankees. Even with their ace Don Newcombe on the mound, the Dodgers seemed to be doomed from the start, as three Yankee home runs set back Newcombe and the rest of the team in their opening 6-5 loss. Game 2 had the same result, as New York's southpaw Tommy Byrne held Brooklyn to five hits in a 4-2 victory. With the Series heading back to Brooklyn, Johnny Podres was given the start for Game 3. The Dodger lefty stymied the Yankees' offense over the first seven innings by allowing one run on four hits en route to an 8-3 victory. Podres gave the Dodger faithful a hint as to what lay ahead in the series with his complete-game, six-strikeout performance. Game 4 at Ebbets Field turned out to be an all-out slugfest. After falling behind early, 3-1, the Dodgers used the long ball to knot up the series. Future Hall of Famers Roy Campanella and Duke Snider each homered and Gil Hodges collected three of the club’s 14 hits, including a home run in the 8-5 triumph. Snider's third and fourth home runs of the Series provided the support needed for rookie Roger Craig and the Dodgers took Game 5 by a score of 5-3. -
Exploiting Pitcher Decision-Making Using Reinforcement Learning” (DOI: 10.1214/13-AOAS712SUPP; .Pdf)
The Annals of Applied Statistics 2014, Vol. 8, No. 2, 926–955 DOI: 10.1214/13-AOAS712 c Institute of Mathematical Statistics, 2014 MONEYBaRL: EXPLOITING PITCHER DECISION-MAKING USING REINFORCEMENT LEARNING By Gagan Sidhu∗,† and Brian Caffo‡ General Analytics∗1, University of Alberta† and Johns Hopkins University‡ This manuscript uses machine learning techniques to exploit base- ball pitchers’ decision making, so-called “Baseball IQ,” by modeling the at-bat information, pitch selection and counts, as a Markov De- cision Process (MDP). Each state of the MDP models the pitcher’s current pitch selection in a Markovian fashion, conditional on the information immediately prior to making the current pitch. This in- cludes the count prior to the previous pitch, his ensuing pitch selec- tion, the batter’s ensuing action and the result of the pitch. The necessary Markovian probabilities can be estimated by the rel- evant observed conditional proportions in MLB pitch-by-pitch game data. These probabilities could be pitcher-specific, using only the data from one pitcher, or general, using the data from a collection of pitchers. Optimal batting strategies against these estimated conditional dis- tributions of pitch selection can be ascertained by Value Iteration. Optimal batting strategies against a pitcher-specific conditional dis- tribution can be contrasted to those calculated from the general con- ditional distributions associated with a collection of pitchers. In this manuscript, a single season of MLB data is used to cal- culate the conditional distributions to find optimal pitcher-specific and general (against a collection of pitchers) batting strategies. These strategies are subsequently evaluated by conditional distributions cal- culated from a different season for the same pitchers. -
Mediaguide.Pdf
American Legion Baseball would like to thank the following: 2017 ALWS schedule THURSDAY – AUGUST 10 Game 1 – 9:30am – Northeast vs. Great Lakes Game 2 – 1:00pm – Central Plains vs. Western Game 3 – 4:30pm – Mid-South vs. Northwest Game 4 – 8:00pm – Southeast vs. Mid-Atlantic Off day – none FRIDAY – AUGUST 11 Game 5 – 4:00pm – Great Lakes vs. Central Plains Game 6 – 7:30pm – Western vs. Northeastern Off day – Mid-Atlantic, Southeast, Mid-South, Northwest SATURDAY – AUGUST 12 Game 7 – 11:30am – Mid-Atlantic vs. Mid-South Game 8 – 3:30pm – Northwest vs. Southeast The American Legion Game 9 – Northeast vs. Central Plains Off day – Great Lakes, Western Code of Sportsmanship SUNDAY – AUGUST 13 Game 10 – Noon – Great Lakes vs. Western I will keep the rules Game 11 – 3:30pm – Mid-Atlantic vs. Northwest Keep faith with my teammates Game 12 – 7:30pm – Southeast vs. Mid-South Keep my temper Off day – Northeast, Central Plains Keep myself fit Keep a stout heart in defeat MONDAY – AUGUST 14 Game 13 – 3:00pm – STARS winner vs. STRIPES runner-up Keep my pride under in victory Game 14 – 7:00pm – STRIPLES winner vs. STARS runner-up Keep a sound soul, a clean mind And a healthy body. TUESDAY – AUGUST 14 – CHAMPIONSHIP TUESDAY Game 15 – 7:00pm – winner game 13 vs. winner game 14 ALWS matches Stars and Stripes On the cover Top left: Logan Vidrine pitches Texarkana AR into the finals The 2017 American Legion World Series will salute the Stars of the ALWS championship with a three-hit performance and Stripes when playing its 91st World Series (92nd year) against previously unbeaten Rockport IN. -
Dodgers' Hiroki Kuroda to Miss First Round of Playoffs
http://www.latimes.com/sports/la-sp-dodgers-fyi3-2009oct03,0,4254309,print.story latimes.com/sports/la-sp-dodgers-fyi3-2009oct03,0,4441497.story latimes.com DODGERS FYI Dodgers' Hiroki Kuroda to miss first round of playoffs Dodgers right-hander, who has been on the disabled list twice this season, has a bulging disk in his neck that will sideline him for at least the division series. By Dylan Hernandez October 3, 2009 Hiroki Kuroda maintained his sense of humor when talking about what could be his greatest setback of an injury-riddled season: a slightly bulging disk in his neck that will sideline him for at least the opening round of Workplace voluntary benefits boost the playoffs. company image, bottom line and employee morale Asked whether he considered this to be unluckiest season of his professional career, Kuroda replied, "So far. But my career's not over yet." Kuroda spent most of the first two months Millions in tuition aid to return to college this season on the disabled list because of a strained side muscle. He returned to the DL in August after a line drive struck him on the head. With Kuroda unavailable, Manager Joe Torre will face simpler decisions when assembling his postseason roster -- but simpler, in this case, probably isn't better. Randy Wolf and Clayton Kershaw figure to start the first two games of the National League division series, with Chad Billingsley, Vicente Padilla and Jon Garland candidates to start the next two. Padilla will start the regular-season finale Sunday. Garland, who gave up five runs in 3 1/3 innings in a loss to San Diego on Wednesday, is scheduled to pitch in relief that day. -
Indians Complete 2013 First-Year Player Draft
INDIANS COMPLETE 2013 FIRST-YEAR PLAYER DRAFT CLEVELAND, OH - Information on Cleveland Indians 2013 First-Year Player Draft selections, rounds 1 thru 10. *Signed 6/15 Round 1 (#5 overall) OF CLINT FRAZIER AGE/DOB: 18, September 6, 1994 High School: Loganville HS (GA) BATS/THROWS: R/R HEIGHT/WEIGHT: 5-11/185 Prep outfielder, recently graduated from Loganville High School in Loganville, Georgia, where he batted .485 in his senior campaign (47-for-97) with 17 homers, 45 RBI, 56 runs scored, a .561 on-base pct. and a 1.134 slugging pct. in 32 games. Following the season, the 5’11” right-handed hitter was named the Gatorade National Baseball Player of the Year. He has a verbal commit to attend the University of Georgia and is the first overall high school position player selected in the 2013 draft. From MLB.com on Frazier Comments: Everything you say about Austin Meadows, you can say about Frazier, except for one thing: his size. Frazier doesn't "look the part" quite as much, but he still has just as many tools as his fellow Georgia prepster. A right-handed hitter, Frazier ran a 6.6 second 60 at the East Coast Pro Showcase over the summer. He also might have a more advanced bat than most of the high schoolers in the class, with a quick, short stroke that generates more power than you might expect given his frame. The lack of physicality might concern some, but his collection of tools should keep him high on Draft boards all spring. -
Syndergaard Ancla Una Rotación Presente Y Futura
202 NEW YORK METS (NL EAST) (NL EAST) NEW YORK METS 203 MLB MLB NEW YORK LOS PRONÓSTICOS DEL SANEDRÍN DE @MLB_AS GAME DIVISIÓN CAMPEONATO PLAYOFFS DE DE MUNDIALES DE CARD AMPEÓN SERIES SERIES WILD FUERA C SERIES METS FERNANDO DÍAZ X X X X X X PEPE RODRÍGUEZ X X X X X X LEÓN FELIPE GIRÓN X X X X X X SYNDERGAARD ANCLA UNA DANI GARCÍA X X X X X X CARLOS SAIZ X X X X X X CARLOS COELLO X X X X X X EDUARDO DE PAZ X X X X X X ROTACIÓN PRESENTE Y FUTURA ANGEL LLUIS CARRILLO X X X X X X PEPE LATORRE X X X X X X Los Mets cuentan CARLOS PARRA X X X X X X con todo el LAS TRES CLAVES DEL EQUIPO o es fácil nacer y vivir siem- potencial para John. Si todo eso se conjuga, el cie- Npre a la sombra de un her- sacar la cara lo es el límite en Queens. Salud, salud, salud. La temporada pasada alcan- mano mayor como los Yankees, por Nueva York, A ello hay que agregarle que una zaron un Wild Card pese a perder por lesión por pero esas son las cartas que le to- ofensiva que se ubicó en el último 1 tiempo prolongado a tres de sus cinco abridores, caron y deben aprender a jugar con pero para ello tercio del ‘Viejo Circuito’ en bateo así como a su cátcher, primera base, segunda ellas. Y ahora, tienen la posibilidad necesitarán que el colectivo, también recupera de cos- base y tercera base. -
2016 Topps Updates Checklist
BASE TRADED PLAYERS US6 Chris Herrmann Arizona Diamondbacks® US7 Blaine Boyer Milwaukee Brewers™ US8 Pedro Alvarez Baltimore Orioles® US10 John Jaso Pittsburgh Pirates® US11 Erick Aybar Atlanta Braves™ US12 Matt Szczur Chicago Cubs® US14 Chris Capuano Milwaukee Brewers™ US16 Alexei Ramirez San Diego Padres™ US20 Junichi Tazawa Boston Red Sox® US22 Neil Walker New York Mets® US26 Jose Lobaton Washington Nationals® US28 Alfredo Simon Cincinnati Reds® US32 Juan Uribe Cleveland Indians® US35 Joaquin Benoit Toronto Blue Jays® US36 Yonder Alonso Oakland Athletics™ US37 Jon Niese New York Mets® US41 Mark Melancon Washington Nationals® US42 Andrew Miller Cleveland Indians® US46 Steven Wright Boston Red Sox® US47 Austin Romine New York Yankees® US49 Ivan Nova Pittsburgh Pirates® US51 Steve Pearce Baltimore Orioles® US55 Vince Velasquez Philadelphia Phillies® US60 Daniel Hudson Arizona Diamondbacks® US61 Jed Lowrie Oakland Athletics™ US64 Steve Pearce Baltimore Orioles® US66 Fernando Rodney Miami Marlins® US71 Kelly Johnson New York Mets® US75 Alex Colome Tampa Bay Rays™ US76 Yunel Escobar Angels® US77 Wade Miley Baltimore Orioles® US78 Jay Bruce New York Mets® US80 Aaron Hill Boston Red Sox® US82 Chad Qualls Colorado Rockies™ US83 Bud Norris Los Angeles Dodgers® US87 Asdrubal Cabrera New York Mets® US90 Jake McGee Colorado Rockies™ US91 Dan Jennings Chicago White Sox® US94 Adam Lind Seattle Mariners™ US95 Hector Neris Philadelphia Phillies® US97 Cameron Maybin Detroit Tigers® US98 Mike Bolsinger Los Angeles Dodgers® US100 Andrew Cashner Miami Marlins® -
Applying Matching Equation to Pitch Selection in Major League Baseball
APPLYING MATCHING EQUATION TO PITCH SELECTION IN MAJOR LEAGUE BASEBALL __________________________________________________________________ A Thesis Submitted to the Temple University Graduate Board In Partial Fulfillment of the Requirements for the Degree Masters of Education in Applied Behavior Analysis __________________________________________________________________ David Dragone August 2018 Examining Committee Members: Donald Hantula, Ph.D., Thesis Advisor, Department of Psychology Matt Tincani, Ph. D., BCBA-D, Department of Education Amanda Guld Fisher, Ph. D., BCBA-D, College of Education ABSTRACT This study applied the generalized matching equation (GME) to pitch selection in MLB during the 2016 regular season. The GME was used to evaluate the pitch selection of 21 groups of pitchers as well as 144 individual pitchers. The GME described pitch selection well for four of the 21 pitching groups and 32 of the 144 individual pitchers. Of the remaining groups and individual pitchers, behavior may be explained by rule following behavior or be impacted by distant reinforcers such as salary. All 21 groups demonstrated a bias for fastballs as well as 119 of the 144 individual pitchers. The results extend the use of the GME to natural contexts and suggest an alternative view to evaluating pitchers. KEYWORDS: general matching theory, general matching equation, sports, baseball, reinforcement ii DEDICATION This study is dedicated to the countless number of people who have supported me throughout the years both in this degree and professionally. Thank you, to my wife, Jen, and Children, Aurora and Rose, who gave me the motivation to keep working through this process and seeing it through to the end. iii ACKNOWLEDGMENTS I would like to thank Dr.