DOCSLIB.ORG

2017 Killersports.Com Journal of MLB Research

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

2017 KillerSports.com Journal of MLB Research Featuring the SDQL MLB Studies from Handicapping and Data Experts 580 Perfect Team and Starter Trends and Much, Much More The 2017 KillerSports.com Journal of MLB Research Introduction ........................................................................................................................................... 4 SDQL Overview ...................................................................................................................................... 5 Team Records vs Player Hits, By Dr Edwin F Meyer, KillerSports.com ................................................6-7 9th Inning Momentum Study, By Vince Akins, SportsBook Breakers .................................................8-9 Shutout MLB System, By Mr East. .......................................................................................................10 Series Openers, By MTi Sports Forecasting. ...................................................................................12-15 MLB Scatter Plots, By Joe Meyer, SportsDataBase.com. .....................................................................16 After a Complete Game Shutout, By John Currey, SDQL Master ....................................................18-19 Featured Starter Trend: Cole Hamels, Sports Data Query Group ........................................................21 40 Starter Trends, By Vince Akins, SportsBook Breakers ................................................................22-24 More MLB Scatter Plots, By Joe Meyer, SportsDataBase.com. .......................................................26-28 In-Game Wagering, Sports Data Query Group. ..............................................................................30-31 Killersports.com MLB Trends Set Introduction ....................................................................................33 Complete Team-By-Team Trends and Data Pages ...........................................................................34-93 2 • KillerSports.com Coming April 2017 Killersports.com, MTi Sports and SportsBook Breakers are teaming up to release a brand new DAILY MLB Newsletter This new MLB Newsletter will include trends, data analysis and key schedule chart breakdowns made possible by SDQL and exclusive to this newsletter. Visit Killersports.com this April and all MLB season for more information. 2017 KillerSports.com Journal of MLB Research • 3 INTRODUCTION The 2017 KillerSports.com Journal of MLB Research more information, check out this baseball specific manual contains information that was uncovered using the on the SDQL: revolutionary Sports Data Query Language (SDQL). The http://killersports.com/Download/MLB/query_manual. SDQL allows fast, reliable and unprecedented access to pdf historical sports data over the internet from anywhere on the planet. If you are looking for a more concise guide to the subtle complexities of SDQL covering all sports, visit This Journal contains several research papers written by the guide at: certified SDQL masters as well as two pages of stats, info and performance indicators for each MLB team. http://www.sdql.com/intro.html The main set of performance indicators was uncovered We have no doubt that you will quickly become by the Sports Data Query Group. This team offers their hooked on the SDQL at Killersports.com and the quality complete active trend set in major league baseball daily at: information that the handicappers at KillerCappers.com can provide with it. http://killersports.com/trend_mart There are also a couple of great ways to track the trends Every day, there are hundreds of performance indicators found in this book. The first is to save these trends (or ones to look through and anyone that purchases access is you discover on your own) at Killersports.com. To do this welcome to save them to their personal trend set at you need to be logged in as a member. After performing a KillerSports.com. query (from the NBA or the MLB or the NFL query page), The set of perofrmance indicators in this Journal you will see a “save to personal trends” hyper link above contains eighteen trends in past performance for each the query text input box. team. There are six moneyline trends, six run-line trends, Clicking on this save to personal trends link will bring and six OU trends for each team. Of the six, there are you to a page where you can type in a description of the three of each flavor (on-against or over-under). trend. Along with a description, many like to type in the ALL 480 of these trends come with the Sports Data record of the trend here in order to track the performance Query Language (SDQL) that generates the trend. With throughout the season. the SDQL text you can verify the accuracy of the trend, but After entering a description clicking on the SAVE more importantly you can see how the trend is performing button saves your trend. When one of your trends is anytime during the season. To check any trend, type (or active, you will see a hyperlink to the game listing and paste) the SDQL text into the query text box at: your descriptive text on the My Trends page. http://killersports.com/mlb.py/query For a short video on how to save MLB trends, go here: and then simply click on the query button. The results https://www.youtube.com/watch?v=Wz3L_xYxD1w should appear in less than a second. Currently, you are allowed two free trends, after which If you have any questions about the SDQL, post them each trend costs two dollars per season. at the Google Group for the SDQL at: KillerSports.com would like to thank MTi Sports, http://groups.google.com/group/SportsDataBase SportsBook Breakers, the Sports Data Query Group and The group has many expert members, including the everyone else involved for their contributions to this genius behind the Sports Data Query Language, Joe Journal and hope you enjoy the content and find it useful Meyer. Feel free to post any questions/comments about during the baseball season. this publication there as well. Join us all season long and let’s make this a successful For self-starters, check out the one-page basics on how 2017 campaign. to use the SDQL on the next page. If you are looking for 4 • KillerSports.com SDQL INTRODUCTION SDQL stands for Sports Data Query Language. It is a opponent. For example, we can see how a team performs language that allows the investigation of past sports re- when they score at least five runs and we can see how a sults over the internet using your home computer. It is team performs when their opponent scores at least five easy, it is fast and it is free. You do NOT have to know runs. how to program a computer to use the SDQL. If you can perform a search on Google, you can query the past results For example, to see how the Giants have performed in of professional sports games. games in which they scored at least five runs, use: Like the Google search, there is a text query box in which team = Giants and runs >= 5 you enter what you would like to search. Unlike Google, query the search has to be specific and you must use the Sports Data Query Language. The advantage of the SDQL is When this query is run, the computer responds with a re- that you get exactly what you ask for. cords summary and a game listing of all the games since 2004 in which the Giants scored at least five runs. For example, if you want to see all the no-hitters in major league baseball since 2004 simply enter: Since there is no game reference on the parameter ‘runs’ it refers to the team and the game in question. To see how the Giants have performed in games in which their hits=0 opponent scored at least five runs, use: query into the query text box and then click on the query button. team = Giants and o:runs >= 5 It is as simple as that! The web address of the MLB query query page at KillerSports.com is: The o: prefix on the “runs” points the runs parameter to http://killersports.com/mlb.py/query the opponent. To see all the MLB games in which a team scored at least To see how the Giants have performed in games AFTER 10 runs without hitting a home run, use the SDQL: they scored at least five runs, use: HR=0 and runs>=10 team = Giants and p:runs >= 5 query query and then click on the query button. That’s it! Here, the p: prefix on the “runs” points the runs parameter to the team’s previous game. The SDQL allows access to billions of situations that are of interest to sports historians, the sports media, fantasy Each one of these queries has two SDQL phrases. The league participants and serious sports bettors. first defines the team and the second gives a condition. There is no limit to the number of SDQL phrases that can An ability to quickly and efficiently interrogate historical be strung together with the word “and.” data in Major League Baseball (as well as the NBA and NFL) will provide the SDQL user a terrific advantage That’s it. This is the basic structure of the SDQL. This over those that just pore over box scores and read other structure will allow the thorough interrogation and in- people’s interpretations of the results. vestigation of historical sports data. Understanding this structure is the key to understanding the SDQL. Once you Perhaps the best way to grasp the SDQL is to simply try have a grasp of this structure, you will be able to perform the hundreds of examples in this book. That said, there your own investigations. are only a couple of key ideas that will get you well on your way to becoming an SDQL master. Start by trying the many examples in this book. If you have any questions about the SDQL, address them to the The first is that a query consists on a number of conditions sportsdatabase.com discussion group at: separated by the word “and.” The second is grasping the difference between the team and the opponent. In sports, http://groups.google.com/group/SportsDataBase there are two combatants. To distinguish between them, SDQL calls one of these the team and the other the op- This group is monitored by numerous SDQL masters ponent. This allows access to results based on both the who will be able to answer all your questions.
Recommended publications
  • San Francisco Giants

    San Francisco Giants

    SAN FRANCISCO GIANTS 2016 END OF SEASON NOTES 24 Willie Mays Plaza • San Francisco, CA 94107 • Phone: 415-972-2000 sfgiants.com • sfgigantes.com • sfgiantspressbox.com • @SFGiants • @SFGigantes • @SFG_Stats THE GIANTS: Finished the 2016 campaign (59th in San Francisco and 134th GIANTS BY THE NUMBERS overall) with a record of 87-75 (.537), good for second place in the National NOTE 2016 League West, 4.0 games behind the first-place Los Angeles Dodgers...the 2016 Series Record .............. 23-20-9 season marked the 10th time that the Dodgers and Giants finished in first and Series Record, home ..........13-7-6 second place (in either order) in the NL West...they also did so in 1971, 1994 Series Record, road ..........10-13-3 (strike-shortened season), 1997, 2000, 2003, 2004, 2012, 2014 and 2015. Series Openers ...............24-28 Series Finales ................29-23 OCTOBER BASEBALL: San Francisco advanced to the postseason for the Monday ...................... 7-10 fourth time in the last sevens seasons and for the 26th time in franchise history Tuesday ....................13-12 (since 1900), tied with the A's for the fourth-most appearances all-time behind Wednesday ..................10-15 the Yankees (52), Dodgers (30) and Cardinals (28)...it was the 12th postseason Thursday ....................12-5 appearance in SF-era history (since 1958). Friday ......................14-12 Saturday .....................17-9 Sunday .....................14-12 WILD CARD NOTES: The Giants and Mets faced one another in the one-game April .......................12-13 wild-card playoff, which was added to the MLB postseason in 2012...it was the May .........................21-8 second time the Giants played in this one-game playoff and the second time that June ......................
  • Trevor Bauer

    Trevor Bauer

    TREVOR BAUER’S CAREER APPEARANCES Trevor Bauer (47) 2009 – Freshman (9-3, 2.99 ERA, 20 games, 10 starts) JUNIOR – RHP – 6-2, 185 – R/R Date Opponent IP H R ER BB SO W/L SV ERA Valencia, Calif. (Hart HS) 2/21 UC Davis* 1.0 0 0 0 0 2 --- 1 0.00 2/22 UC Davis* 4.1 7 3 3 2 6 L 0 5.06 CAREER ACCOLADES 2/27 vs. Rice* 2.2 3 2 1 4 3 L 0 4.50 • 2011 National Player of the Year, Collegiate Baseball • 2011 Pac-10 Pitcher of the Year 3/1 UC Irvine* 2.1 1 0 0 0 0 --- 0 3.48 • 2011, 2010, 2009 All-Pac-10 selection 3/3 Pepperdine* 1.1 1 1 1 1 2 L 0 3.86 • 2010 Baseball America All-America (second team) 3/7 at Oklahoma* 0.2 1 0 0 0 0 --- 0 3.65 • 2010 Collegiate Baseball All-America (second team) 3/11 San Diego State 6.0 2 1 1 3 4 --- 0 2.95 • 2009 Louisville Slugger Freshman Pitcher of the Year 3/11 at East Carolina* 3.2 2 0 0 0 5 W 0 2.45 • 2009 Collegiate Baseball Freshman All-America 3/21 at USC* 4.0 4 2 1 0 3 --- 1 2.42 • 2009 NCBWA Freshman All-America (first team) 3/25 at Pepperdine 8.0 6 2 2 1 8 W 0 2.38 • 2009 Pac-10 Freshman of the Year 3/29 Arizona* 5.1 4 0 0 1 4 W 0 2.06 • Posted a 34-8 career record (32-5 as a starter) 4/3 at Washington State* 0.1 1 2 1 0 0 --- 0 2.27 • 1st on UCLA’s career strikeouts list (460) 4/5 at Washington State 6.2 9 4 4 0 7 W 0 2.72 • 1st on UCLA’s career wins list (34) 4/10 at Stanford 6.0 8 5 4 0 5 W 0 3.10 • 1st on UCLA’s career innings list (373.1) 4/18 Washington 9.0 1 0 0 2 9 W 0 2.64 • 2nd on Pac-10’s career strikeouts list (460) 4/25 Oregon State 8.0 7 2 2 1 7 W 0 2.60 • 2nd on UCLA’s career complete games list (15) 5/2 at Oregon 9.0 6 2 2 4 4 W 0 2.53 • 8th on UCLA’s career ERA list (2.36) • 1st on Pac-10’s single-season strikeouts list (203 in 2011) 5/9 California 9.0 8 4 4 1 10 W 0 2.68 • 8th on Pac-10’s single-season strikeouts list (165 in 2010) 5/16 Cal State Fullerton 9.0 8 5 5 2 8 --- 0 2.90 • 1st on UCLA’s single-season strikeouts list (203 in 2011) 5/23 at Arizona State 9.0 6 4 4 5 5 W 0 2.99 • 2nd on UCLA’s single-season strikeouts list (165 in 2010) TOTAL 20 app.
  • Baseball Classics All-Time All-Star Greats Game Team Roster

    Baseball Classics All-Time All-Star Greats Game Team Roster

    BASEBALL CLASSICS® ALL-TIME ALL-STAR GREATS GAME TEAM ROSTER Baseball Classics has carefully analyzed and selected the top 400 Major League Baseball players voted to the All-Star team since it's inception in 1933. Incredibly, a total of 20 Cy Young or MVP winners were not voted to the All-Star team, but Baseball Classics included them in this amazing set for you to play. This rare collection of hand-selected superstars player cards are from the finest All-Star season to battle head-to-head across eras featuring 249 position players and 151 pitchers spanning 1933 to 2018! Enjoy endless hours of next generation MLB board game play managing these legendary ballplayers with color-coded player ratings based on years of time-tested algorithms to ensure they perform as they did in their careers. Enjoy Fast, Easy, & Statistically Accurate Baseball Classics next generation game play! Top 400 MLB All-Time All-Star Greats 1933 to present! Season/Team Player Season/Team Player Season/Team Player Season/Team Player 1933 Cincinnati Reds Chick Hafey 1942 St. Louis Cardinals Mort Cooper 1957 Milwaukee Braves Warren Spahn 1969 New York Mets Cleon Jones 1933 New York Giants Carl Hubbell 1942 St. Louis Cardinals Enos Slaughter 1957 Washington Senators Roy Sievers 1969 Oakland Athletics Reggie Jackson 1933 New York Yankees Babe Ruth 1943 New York Yankees Spud Chandler 1958 Boston Red Sox Jackie Jensen 1969 Pittsburgh Pirates Matty Alou 1933 New York Yankees Tony Lazzeri 1944 Boston Red Sox Bobby Doerr 1958 Chicago Cubs Ernie Banks 1969 San Francisco Giants Willie McCovey 1933 Philadelphia Athletics Jimmie Foxx 1944 St.
  • Riverside Quarterly V2N4 Sapiro 1967-03

    Riverside Quarterly V2N4 Sapiro 1967-03

    Riverside XZ ‘ RIVERS lue. QUARTERLY March 1967 Vol. u, 4 Editor: Leland Sapiro Associate Editor: Jim Harmon Poetry Editor: Jim Sallis Assistant Editors: Redd Boggs Edward Teach Jon White Send business correspondence and prose manuscripts to: This issue is dedicated to John W. Campbell, Jr., who is Box 82 University Station, Saskatoon, Canada the main subject in two articles. If Orlin Tremaine changed science fiction "from a didactic exercise into a form of art," Send poetry to: R.D. 3, Iowa City, Iowa 52240 then Campbell changed it from romance to novel, i.e., into an art form with social content. I do not prefer the type of story emphasised by Mr. Campbell's present magazine, but this in no way reduces indebtedness to him for any science fiction reader. table of contents "NOW HEAR THIS'." Everyone is urged to register at once for the 1967 science­ RQ Miscellany .................... 231 fiction convention to be held in New York city, September 1—4. Superman and the System ..... A S3 registration fee paid now entitles you to the usual con­ (first of two parts) ........... W.H.G. Armytage .... 232 vention privileges (e.g., reduced room rates) plus progress reports and a program book mailed in advance. Send cash or in­ Consubstantial ............ ....... Padraig 0 Broin .... 243 quiries to Nycon 3, Box 367, Gracie Square Sta., New York 10028. Creide's Lament for Cael ............ 244 Parapsychology: Fact or Fraud? .... Raymond Birge ..... 247 "RADIOHERO" The Bombardier .................... Thomas Disch ....... 265 Old Time Radio fans can anticipate Jim Harmon's book, The Great Radio Heroes, scheduled for publication by Doubleday On Being Forbidden Entrance to a Castle ...
  • Vs. Philadelphia Phillies (36-63) July 25, 2015

    Vs. Philadelphia Phillies (36-63) July 25, 2015

    CHICAGO CUBS (51-45) VS. PHILADELPHIA PHILLIES (36-63) JULY 25, 2015 LINESCORE 1 2 3 4 5 6 7 8 9 R H E LOB Phillies 0 0 3 0 0 0 0 2 0 5 11 0 10 Cubs 0 0 0 0 0 0 0 0 0 0 0 1 2 Winning Pitcher: Hamels (6-7) Losing Pitcher: Arrieta (11-6) Save: None STARTING PITCHERS GAME INFORMATION Pitcher IP H R ER BB SO WP HR PC/S Left Time of Game: 2:38 Cole Hamels (W) 9.0 0 0 0 2 13 0 0 129/83 --- First Pitch: 3:05 PM Jake Arrieta (L) 6.0 6 3 3 3 8 0 1 94/58 0-3 Temperature: 80 degrees Courtesy of Stats, Inc. Wind: E 14 mph HOME RUNS ATTENDANCE Team Batter No. Pitcher Inn. Count Men On Location Today: 41,683 PHI Howard 17 Arrieta 3 1-0 2 Left-Center Field Season Total: 1,648,259 # of Wrigley Dates: 47 (25-22) Average per Date: 35,069 CHICAGO CUBS The Cubs were no-hit for the first time since September 9, 1965, a perfect game by the Dodgers Sandy Koufax at Dodger Stadium ... this is the first time the Cubs have been no-hit at Wrigley field since August 19, 1965 (gm. 1) vs. the Reds Jim Maloney ... today snapped a major league record 7,920 consecutive games (of at least nine innings) with at least one hit ... the Cubs had gone 49 full seasons without being no-hit, the longest span in major league history.
  • Go Canucks Go!” • Score on Davie (Page 54)

    Go Canucks Go!” • Score on Davie (Page 54)

    Fevered Fans Luongo and Cory Schneider. Fans are Die-hard Canucks supporters never already breaking out the blue and green stop believing. Their beloved team has face paint and hand-lettering signs in made it to the Stanley Cup finals three anticipation of the season opener Oct. 6 times, and even gone all the way to game against the Pittsburgh Penguins. seven—twice—but has never won the coveted trophy. Local fans remain faithful, Tickets though, already anticipating that lucky With a waitlist for season’s tickets esti- season 41 will see Roberto Luongo, Ryan mated to be up to a decade long, and Kesler, the Sedin twins and all the rest of every game sold out since November the hardworking lads bring Lord Stanley’s 2002, tickets to Canucks games are cup home to its rightful place, within sight harder to find than a Toronto Maple Leafs of the 400-hectare (1,000-acre) park fan in downtown Vancouver—unless you that also bears Stanley’s name. Season know where to look. Visit www.ticket 40 proved to be the most successful so master.ca first. If that ends in a shutout, far, racking up the Presidents’ Trophy for try the Prime Seat Club on canucks.nhl the team, the Art Ross Trophy for Daniel .com. It’s where season’s-ticket hold- Sedin (one year after his identical twin, ers sell off unneeded Henrik, won the honour) and the William M. Jennings Trophy for goalies canucks, ford eRi rad to mark the start of the localB NHLy sh team’s 41st season, we present an intro to the Cks Go! Vancouver's favourite team Go Canu (Opposite, L) Twins Daniel and Henrik Sedin are crowd favourites.
  • Tesis Doctorals En Xarxa

    Tesis Doctorals En Xarxa

    Coprocessor integration for real-time event processing in particle physics detectors Alexey Pavlovich Badalov http://hdl.handle.net/10803/396128 ADVERTIMENT. L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by/4.0/ ADVERTENCIA. El acceso a los contenidos de esta tesis queda condicionado a la aceptación de las condiciones de uso establecidas por la siguiente licencia Creative Commons: http://creativecommons.org/licenses/by/4.0/ The access to the contents of this doctoral thesis it is limited to the acceptance of the use WARNING. conditions set by the following Creative Commons license: http://creativecommons.org/licenses/by/4.0/ 90) - 02 - TESIS DOCTORAL Título Coprocessor integration for real-time event processing in particle physics detectors Realizada por Alexey Badalov en el Centro La Salle – Ramon Llull University y en el Departamento GR-SETAD C.I.F. G: 59069740 Universitat Ramon Llull Fundació Rgtre. Fund. Generalitat de Catalunya núm. 472 (28 472 núm. de Catalunya Generalitat Rgtre. Fund. Fundació Llull Ramon Universitat 59069740 G: C.I.F. Dirigida por Dr. Xavier Vilasis i Cardona Dr. Niko Neufeld C. Claravall, 1-3 | 08022 Barcelona | Tel. 93 602 22 00 | Fax 93 602 22 49 | [email protected] | www.url.edu Coprocessor integration for real-time event processing in particle physics detectors Alexey Badalov 2 Abstract High-energy physics experiments today have higher energies, more accurate sensors, and more flexible means of data collection than ever before. Their rapid progress requires ever more computational power; and massively parallel hardware, such as graphics cards, holds the promise to provide this power at a much lower cost than traditional CPUs.
  • "What Raw Statistics Have the Greatest Effect on Wrc+ in Major League Baseball in 2017?" Gavin D

    "What Raw Statistics Have the Greatest Effect on Wrc+ in Major League Baseball in 2017?" Gavin D

    1 "What raw statistics have the greatest effect on wRC+ in Major League Baseball in 2017?" Gavin D. Sanford University of Minnesota Duluth Honors Capstone Project 2 Abstract Major League Baseball has different statistics for hitters, fielders, and pitchers. The game has followed the same rules for over a century and this has allowed for statistical comparison. As technology grows, so does the game of baseball as there is more areas of the game that people can monitor and track including pitch speed, spin rates, launch angle, exit velocity and directional break. The website QOPBaseball.com is a newer website that attempts to correctly track every pitches horizontal and vertical break and grade it based on these factors (Wilson, 2016). Fangraphs has statistics on the direction players hit the ball and what percentage of the time. The game of baseball is all about quantifying players and being able give a value to their contributions. Sabermetrics have given us the ability to do this in far more depth. Weighted Runs Created Plus (wRC+) is an offensive stat which is attempted to quantify a player’s total offensive value (wRC and wRC+, Fangraphs). It is Era and park adjusted, meaning that the park and year can be compared without altering the statistic further. In this paper, we look at what 2018 statistics have the greatest effect on an individual player’s wRC+. Keywords: Sabermetrics, Econometrics, Spin Rates, Baseball, Introduction Major League Baseball has been around for over a century has given awards out for almost 100 years. The way that these awards are given out is based on statistics accumulated over the season.
  • Vancouver Canucks 2009 Playoff Guide

    Vancouver Canucks 2009 Playoff Guide

    VANCOUVER CANUCKS 2009 PLAYOFF GUIDE TABLE OF CONTENTS VANCOUVER CANUCKS TABLE OF CONTENTS Company Directory . .3 Vancouver Canucks Playoff Schedule. 4 General Motors Place Media Information. 5 800 Griffiths Way CANUCKS EXECUTIVE Vancouver, British Columbia Chris Zimmerman, Victor de Bonis. 6 Canada V6B 6G1 Mike Gillis, Laurence Gilman, Tel: (604) 899-4600 Lorne Henning . .7 Stan Smyl, Dave Gagner, Ron Delorme. .8 Fax: (604) 899-4640 Website: www.canucks.com COACHING STAFF Media Relations Secured Site: Canucks.com/mediarelations Alain Vigneault, Rick Bowness. 9 Rink Dimensions. 200 Feet by 85 Feet Ryan Walter, Darryl Williams, Club Colours. Blue, White, and Green Ian Clark, Roger Takahashi. 10 Seating Capacity. 18,630 THE PLAYERS Minor League Affiliation. Manitoba Moose (AHL), Victoria Salmon Kings (ECHL) Canucks Playoff Roster . 11 Radio Affiliation. .Team 1040 Steve Bernier. .12 Television Affiliation. .Rogers Sportsnet (channel 22) Kevin Bieksa. 14 Media Relations Hotline. (604) 899-4995 Alex Burrows . .16 Rob Davison. 18 Media Relations Fax. .(604) 899-4640 Pavol Demitra. .20 Ticket Info & Customer Service. .(604) 899-4625 Alexander Edler . .22 Automated Information Line . .(604) 899-4600 Jannik Hansen. .24 Darcy Hordichuk. 26 Ryan Johnson. .28 Ryan Kesler . .30 Jason LaBarbera . .32 Roberto Luongo . 34 Willie Mitchell. 36 Shane O’Brien. .38 Mattias Ohlund. .40 Taylor Pyatt. .42 Mason Raymond. 44 Rick Rypien . .46 Sami Salo. .48 Daniel Sedin. 50 Henrik Sedin. 52 Mats Sundin. 54 Ossi Vaananen. 56 Kyle Wellwood. .58 PLAYERS IN THE SYSTEM. .60 CANUCKS SEASON IN REVIEW 2008.09 Final Team Scoring. .64 2008.09 Injury/Transactions. .65 2008.09 Game Notes. 66 2008.09 Schedule & Results.
  • Phillies Sparkplug Shane Victorino Has Plenty of Reasons to Love His

    Phillies Sparkplug Shane Victorino Has Plenty of Reasons to Love His

    ® www.LittleLeague.org 2011 presented by all smiles Phillies sparkplug shane Victorino has plenty of reasons to love his job Plus: ® LeAdoff cLeAt Big league managers fondly recall their little league days softball legend sue enquist has some advice for little leaguers IntroducIng the under Armour ® 2011 Major League BaseBaLL executive Vice President, Business Timothy J. Brosnan 6 Around the Horn Page 10 Major League BaseBaLL ProPerties News from Little League to the senior Vice President, Consumer Products Howard Smith Major Leagues. Vice President, Publishing Donald S. Hintze editorial Director Mike McCormick 10 Flyin’ High Publications art Director Faith M. Rittenberg Phillies center fielder Shane senior Production Manager Claire Walsh Victorino has no trouble keeping associate editor Jon Schwartz a smile on his face because he’s account executive, Publishing Chris Rodday doing what he loves best. associate art Director Melanie Finnern senior Publishing Coordinator Anamika Panchoo 16 Playing the Game: Project assistant editors Allison Duffy, Chris Greenberg, Jake Schwartzstein Albert Pujols editorial interns Nicholas Carroll, Bill San Antonio Tips on hitting. Major League BaseBaLL Photos 18 The World’s Stage Director Rich Pilling Kids of all ages and from all Photo editor Jessica Foster walks of life competed in front 36 Playing the Game: Photos assistant Kasey Ciborowski of a global audience during the Jason Bay 2010 Little League Baseball and Tips on defense in the outfield. A special thank you to Major League Baseball Corporate Softball World Series. Sales and Marketing and Major League Baseball 38 Combination Coaching Licensing for advertising sales support. 26 ARMageddon Little League Baseball Camp and The Giants’ pitching staff the Baseball Factory team up to For Major League Baseball info, visit: MLB.com annihilated the opposition to win expand education and training the world title in 2010.
  • Vancouver Canucks Game Notes

    Vancouver Canucks Game Notes

    Vancouver Canucks Game Notes Mon, Oct 28, 2019 NHL Game #178 Vancouver Canucks 6 - 3 - 1 (13 pts) Florida Panthers 5 - 2 - 4 (14 pts) Team Game: 11 3 - 0 - 1 (Home) Team Game: 12 2 - 1 - 1 (Home) Home Game: 5 3 - 3 - 0 (Road) Road Game: 8 3 - 1 - 3 (Road) # Goalie GP W L OT GAA SV% # Goalie GP W L OT GAA SV% 25 Jacob Markstrom 7 4 2 1 2.53 .920 33 Sam Montembeault 3 1 0 1 1.79 .933 35 Thatcher Demko 3 2 1 0 1.64 .943 72 Sergei Bobrovsky 9 4 2 3 3.65 .874 # P Player GP G A P +/- PIM # P Player GP G A P +/- PIM 4 D Jordie Benn 10 0 2 2 4 2 2 D Josh Brown 10 1 1 2 -1 11 5 D Oscar Fantenberg - - - - - - 3 D Keith Yandle 11 1 3 4 2 2 6 R Brock Boeser 10 3 6 9 3 4 5 D Aaron Ekblad 10 1 5 6 1 4 8 D Christopher Tanev 10 1 3 4 2 2 6 D Anton Stralman 11 0 4 4 3 2 9 C J.T. Miller 10 4 7 11 5 8 7 C Colton Sceviour 11 0 3 3 -1 2 17 L Josh Leivo 10 1 3 4 2 2 8 C Jayce Hawryluk 6 1 1 2 -1 4 18 R Jake Virtanen 10 2 2 4 2 4 9 C Brian Boyle 3 1 1 2 1 0 20 C Brandon Sutter 10 2 3 5 1 7 10 R Brett Connolly 11 4 5 9 1 4 21 L Loui Eriksson 1 0 0 0 -1 0 11 L Jonathan Huberdeau 11 5 8 13 0 8 23 D Alexander Edler 10 3 3 6 0 10 13 D Mark Pysyk 6 1 1 2 1 2 40 C Elias Pettersson 10 3 8 11 3 0 16 C Aleksander Barkov 11 0 13 13 0 2 43 D Quinn Hughes 10 1 6 7 -1 2 19 D Mike Matheson 9 0 1 1 -1 0 51 D Troy Stecher 10 1 1 2 4 16 21 C Vincent Trocheck 8 1 5 6 -2 0 53 C Bo Horvat 10 5 3 8 -1 2 52 D MacKenzie Weegar 11 3 5 8 2 4 57 D Tyler Myers 10 0 3 3 -1 10 55 C Noel Acciari 11 4 0 4 -1 0 59 C Tim Schaller 10 3 0 3 2 8 61 D Riley Stillman 1 0 0 0 -3 5 64 C Tyler Motte 6 0 1 1 -1 2 62 C Denis Malgin 9 3 5 8 4 2 70 L Tanner Pearson 10 2 2 4 -4 4 63 R Evgenii Dadonov 11 6 3 9 1 0 79 L Micheal Ferland 10 1 2 3 -2 2 68 L Mike Hoffman 11 5 3 8 -1 6 83 C Jay Beagle 10 1 1 2 0 6 73 L Dryden Hunt 11 0 3 3 2 8 77 C Frank Vatrano 11 3 2 5 1 4 General Manager Jim Benning President of Hockey Operations & Dale Tallon Assistant General Manager John Weisbrod General Manager Head Coach Travis Green Sr.
  • Combining Radar and Optical Sensor Data to Measure Player Value in Baseball

    Combining Radar and Optical Sensor Data to Measure Player Value in Baseball

    sensors Article Combining Radar and Optical Sensor Data to Measure Player Value in Baseball Glenn Healey Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92617, USA; [email protected] Abstract: Evaluating a player’s talent level based on batted balls is one of the most important and difficult tasks facing baseball analysts. An array of sensors has been installed in Major League Baseball stadiums that capture seven terabytes of data during each game. These data increase interest among spectators, but also can be used to quantify the performances of players on the field. The weighted on base average cube model has been used to generate reliable estimates of batter performance using measured batted-ball parameters, but research has shown that running speed is also a determinant of batted-ball performance. In this work, we used machine learning methods to combine a three-dimensional batted-ball vector measured by Doppler radar with running speed measurements generated by stereoscopic optical sensors. We show that this process leads to an improved model for the batted-ball performances of players. Keywords: Bayesian; baseball analytics; machine learning; radar; intrinsic values; forecasting; sensors; batted ball; statistics; wOBA cube 1. Introduction The expanded presence of sensor systems at sporting events has enhanced the enjoy- ment of fans and supported a number of new applications [1–4]. Measuring skill on batted balls is of fundamental importance in quantifying player value in baseball. Traditional measures for batted-ball skill have been based on outcomes, but these measures have a low Citation: Healey, G. Combining repeatability due to the dependence of outcomes on variables such as the defense, the ball- Radar and Optical Sensor Data to park dimensions, and the atmospheric conditions [5,6].