DOCSLIB.ORG

2018 Purdue Baseball

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

2018 PURDUE BASEBALL P 2012 BIG TEN CHAMPIONS P • PURDUESPORTS.COM • @PURDUEBASEBALL SID Contact Info: Ben Turner // [email protected] // Office: 765-494-3198 // Cell: 217-549-7965 – FEBRUARY (6-1) – – BIG TEN PLAY CONTINUES – 17 ^ vs Western Michigan W 5-1 ^ vs Western Michigan W 5-1 URDUE OILERMAKERS IG EN 18 ^ vs Western Michigan W 10-4 P B (29-16, 13-4 B T ) 23 # vs Saint Louis W 5-2 AT OHIO STATE BUCKEYES (31-16, 11-7 BIG TEN) # vs Incarnate Word W 5-4 (10) 24 # vs #30 Notre Dame L 4-2 3-GAME SERIES • MAY 11-13 • BILL DAVIS STADIUM • COLUMBUS, OHIO 25 # vs #30 Notre Dame W 8-7 Series Opener: Friday, May 11 at 6:30 p.m. ET • BTN Plus on BTN2Go – MARCH (8-9, 3-0 BIG TEN) – Middle Game: Saturday, May 12 at 3 p.m. ET • BTN Plus on BTN2Go 2 + vs Central Michigan W 11-1 Series Finale: Sunday, May 13 at 1 p.m. ET • BTN Plus on BTN2Go 3 + vs Virginia Tech W 12-5 – SERIES HISTORY – 4 + at Stetson L 11-6 All-Time Series: Ohio State leads 146-64-1 • All-Time in Columbus: Ohio State leads 78-25 9 at Tulane L 1-0 10 at Tulane W 12-8 2017: Purdue won 2-of-3 (March 31-April 2 in Columbus) 11 at Tulane L 6-2 First Meeting: Purdue 4, Ohio State 3 (May 1913 in West Lafayette) 13 at Southeastern Louisiana L 4-0 Road team has won the last 8 Purdue-OSU series dating back to 2007 14 at Nicholls State L 4-2 – LIVE COVERAGE – 17 at Saint Louis L 15-1 Video Webcasts: BTN2Go.com & BTN2Go App at Saint Louis L 11-9 Radio: WSHY 104.3 FM & 1410 AM (Games 1 & 3) • Free Online Audio: PurdueSports.com 18 at Saint Louis L 7-3 – PURDUE’S PROBABLE LINEUP – 23 LIPSCOMB L 3-1 LIPSCOMB W 5-2 POS # NAME ...................................... AVG RUNS HITS XBH HR RBI BB OBP SB 25 LIPSCOMB Canceled SS 5 Harry Shipley (Sr) ................... .280 38 46 8 2 17 23 .409 12-19 28 VALPARAISO W 4-1 Notable: Reached base safely in 23 straight games, the longest career streak among active Boilermakers 30 • at Penn State W 3-2 C 9 Nick Dalesandro (Jr) .............. .329 32 55 16 2 30 26 .418 20-22 31 • at Penn State W 6-3 Notable: Started 19 consecutive games at catcher; tops nationally among catchers with 20 steals • at Penn State W 9-0 CF 4 Skyler Hunter (So) .................. .326 37 59 10 1 30 8 .375 9-11 – APRIL (10-6, 7-4 BIG TEN) – Notable: Batting .370 (17-for-46) during 11-game Big Ten hit streak; has 13 RBI in last 6 games overall 3 OAKLAND Canceled 1B 27 Jacson McGowan (Jr) ............ .320 31 49 19 11 48 39 .465 2-3 4 OAKLAND Canceled Notable: 15 walks, .551 OBP in last 11 games since 2-HR game at UMD; reached safely in 16 straight games 6 • at #10 Indiana W 4-2 7 • at #10 Indiana L 14-1 LF 35 Ben Nisle (Fr) ......................... .261 19 36 13 6 33 9 .316 5-7 8 • at #10 Indiana (BTN) L 7-5 (13) Notable: Drove in a run in first 3 plate appearances of game 3 vs. NU; delivered go-ahead single in 9th at Ball St. 10 BALL STATE L 2-0 DH 18 Nick Evarts (Jr) ....................... .270 12 20 4 – 7 6 .341 4-5 13 • MINNESOTA L 22-7 Notable: Serves as the DH vs. LHPs; reached base safely in 7 of his last 11 plate appearances (5-for-9, 4 R) 14 • MINNESOTA L 18-8 RF 11 Alec Olund (Sr) ....................... .333 14 30 9 – 14 8 .402 3-5 15 • MINNESOTA Canceled Notable: Batting team-best .417 with 12 RBI during 13-game win streak; Purdue is 21-4 in games he has started 17 at Indiana State W 3-1 (10) 3B 6 Evan Warden (RS-Jr) ............. .265 28 43 13 1 19 20 .365 7-12 18 INDIANA STATE L 2-1 Notable: Batting .357 (15-for-42) with .434 OBP, 11 RBI & 11 runs scored during 13-game win streak 20 • at Maryland W 7-1 2B 2 Tyler Powers (Fr) .................... .209 12 14 1 – 11 11 .325 1-3 21 • at Maryland W 4-3 (11) Started 15 of the 17 Big Ten games at 2nd base; 6-for-15 with 4 runs scored in last 4 games 22 • at Maryland W 8-6 Notable: 24 CHICAGO STATE W 8-1 – PROBABLE PITCHING MATCHUPS – 25 INDIANA (ESPNU) W 5-3 NAME W-L GS IP H R-ER BB K ERA B/AVG 27 • RUTGERS W 4-0 Tanner Andrews (Sr, RHP) 5-3 12 69.2 72 34-21 31 60 2.71 .270 28 • RUTGERS (BTN) W 9-4 vs. Connor Curlis (Jr, LHP) 6-3 12 66.2 65 37-29 22 64 3.92 .261 29 • RUTGERS W 1-0 Gareth Stroh (Jr, LHP) 5-2 12 54.1 57 36-31 35 22 5.13 .278 – MAY (5-0, 3-0 BIG TEN) – vs. Ryan Feltner (Jr, RHP) 4-3 12 67.1 76 52-35 31 66 4.68 .284 4 • NORTHWESTERN W 8-7 TBA for Purdue 5 • NORTHWESTERN W 9-5 vs. Adam Niemeyer (Sr, RHP) 3-2 12 56 69 43-36 17 46 5.79 .300 6 • NORTHWESTERN W 9-2 8 FORT WAYNE W 27-3 – PRIMARY BENCH & BULLPEN – – AROUND THE HORN – 9 at Ball State W 10-8 POS NAME SLASH LINE XBH RBI SB • Purdue is riding a 13-game win streak, the longest 11 • at Ohio State 6:30 p.m. DH Evan Kennedy .227/.317/.295 6 10 2-2 active streak in the country and tied for the longest 12 • at Ohio State 3 p.m. OF Milo Beam .214/.283/.238 1 3 3-5 single-season streak in program history. The 1993 13 • at Ohio State 1 p.m. OF Charlie Nasuti .266/.392/.281 1 7 2-7 and 2001 teams also won 13 straight games. The 15 ORAL ROBERTS 6 p.m. C Bryce Bonner .200/.349/.200 – 4 0-0 Boilermakers are one of 12 teams nationally to win 17 • MICHIGAN 6 p.m. IF Owen Jansen .091/.375/.136 1 3 0-0 at least 13 consecutive games in 2018. 18 • MICHIGAN (BTN) 7 p.m. POS NAME W-L-S APP IP K/BB ERA • Purdue has swept four Big Ten series in one sea- 19 • MICHIGAN (BTN) 1 p.m. LHP Ross Learnard 2-1-11 22 27 28/4 0.67 son for the first time ever (never had swept three – B1G TOURNAMEnt (TD AMERITRADE PARK, OMAHA) – RHP Bo Hofstra 3-3-1 20 39.2 34/9 3.18 before). The nine-game win streak in Big Ten play 23 First Round (BTN) TBA RHP Trevor Cheaney 1-0-1 21 30 36/14 4.20 in one short of the program’s single-season record 24 Second Round (BTN) TBA from 2001. With win streaks of six and eight straight 25 Elimination Games (BTN) TBA RHP Dalton Parker 2-0-0 12 16 12/6 5.62 LHP Patrick J. Smith 0-0-0 9 13.1 7/6 8.78 games this year, the Boliermakers have posted a 26 Bracket Finals (BTN) TBA pair of win streaks of at least six games in consecu- 27 Championship Game (BTN) TBA RHP Trent Johnson 2-1-0 13 37.2 35/27 1.91 LHP Ryan Beard 4-3-0 12 44.2 34/14 3.83 tive years for the first time ever. • Purdue’s 13-game win streak has featured 119 • Big Ten Conference game RHP Cam Williams 2-2-0 13 19 15/7 5.68 innnings. The Boilermakers have held the lead in ^ Games Played at Perfect Game Park (Emerson, Ga.) LHP Matt Moore 0-0-0 9 6.1 8/6 5.68 85 of those innings. They did not trail for 50 con- # Alamo Irish Classic (San Antonio, Texas) RHP Andrew Bohm 2-0-0 9 18.1 22/10 4.91 secutive innings from April 22 to May 4. However, + Westin Lake Make Stetson Invitational (DeLand, Fla.) RHP Mike Kornacker 0-1-0 10 17 7/5 5.29 Live Video Webcasts of Selected Home Games & B1G Purdue has rallied to win in the seventh inning or Road Games via BTN2Go.com & BTN2Go App • Ross Learnard has pitched 24 1/3 consecutive later four times during the streak. WSHY 104.3 FM & 1410 AM Carries Purdue Games scoreless innings dating back to Feb. 25. He has re- • The Boilermakers scored five times in the ninth in- All Times Eastern corded the final out in nine of Purdue’s 13 consecutive ning Wednesday at Ball State. Harry Shipley hit a HOME GAMES at ALEXANDER FIELD wins, earning eight saves. game-tying three-run inside the park homer. BIG TEN PLAY CONTINUES: PURDUE AT OHIO STATE PURDUE’S BIG TEN TRAVEL ROSTER No. Name Pos B/T Ht Wt Yr Hometown (High School/Previous College) PITCHERS 13 Tanner Andrews RHP R/R 6-3 220 Sr Rochester, Ind. (Tippecanoe Valley) 16 Trevor Cheaney RHP R/R 6-2 200 Jr Muenster, Texas (Muenster/Paris JC) 21 Mike Kornacker RHP R/R 6-3 ½ 215 RS-Jr Lemont, Ill.
Recommended publications
  • 2021 Texas A&M Baseball

    2021 Texas A&M Baseball

    2021 TEXAS A&M BASEBALL GAMES 24-26 | GEORGIA | 3/26-28 GAME TIMES: 6:02 / 2:02 / 1:02 P.M. CT | SITE: Olsen Field at Blue Bell Park, Bryan-College Station, Texas Texas A&M Media Relations * www.12thMan.com Baseball Contact: Thomas Dick / E-Mail: [email protected] / C: (512) 784-2153 RESULTS/SCHEDULE TEXAS A&M GEORGIA Date Day Opponent Time (CT) 2/20 SAT XAVIER (DH) S+ L, 6-10 XAVIER (DH) S+ L, 0-2 AGGIES BULLDOGS 2/21 SUN XAVIER S+ W, 15-0 2/23 TUE ABILENE CHRISTIAN S+ L, 5-6 2/24 WED TARLETON STATE S+ (10) W, 8-7 2/26 Fri % vs Baylor Flo W, 12-4 2021 Record 15-8, 0-3 SEC 2021 Record 15-5, 1-2 SEC 2/27 Sat % vs Oklahoma Flo W, 8-1 Ranking - Ranking 12 (CB); 30 (NCBWA) 2/28 Sun % vs Auburn Flo L, 1-6 Streak Lost 4 Streak Won 1 3/2 TUE HOUSTON BAPTIST S+ W, 4-0 Last 5 / Last 10 1-4 / 6-4 Last 5 / Last 10 3-2 / 8-2 3/3 WED INCARNATE WORD S+ W, 6-4 Last Game Mar 23 Last Game Mar 23 3/5 FRI NEW MEXICO STATE S+ W, 4-1 3/6 SAT NEW MEXICO STATE S+ W, 5-0 RICE - L, 1-2 KENNESAW STATE - (10 inn.) W, 3-2 3/7 SUN NEW MEXICO STATE S+ W, 7-1 3/9 TUE A&M-CORPUS CHRISTI S+ W, 7-0 Head Coach Rob Childress (Northwood, ‘90) Head Coach Scott Stricklin (Kent State, ‘95) 3/10 WED PRAIRIE VIEW A&M S+ (7) W, 22-2 Overall 608-317-3 (16th season) Overall 568-354-1 (17th season) 3/12 FRI SAMFORD S+ W, 10-1 at Texas A&M same at Georgia 218-166-1 (8th season) 3/13 SAT SAMFORD (DH) S+ W, 21-4 SUN SAMFORD (DH) S+ W, 5-2 3/16 Tue at Houston E+ W, 9-4 PROBABLE PITCHING MATCHUPS 3/18 Thu * at Florida SEC L, 4-13 • FRIDAY: #37 Dustin Saenz (Sr., LHP, 3-2, 3.07) vs.
  • 2019 GOPHER BASEBALL UNIVERSITY of MINNESOTA 2019 > SCHEDULE & RESULTS WEEK 2 > DALLAS, TEXAS FEBRUARY College Baseball Classic (Feb

    2019 GOPHER BASEBALL UNIVERSITY of MINNESOTA 2019 > SCHEDULE & RESULTS WEEK 2 > DALLAS, TEXAS FEBRUARY College Baseball Classic (Feb

    2019 GOPHER BASEBALL UNIVERSITY OF MINNESOTA 2019 > SCHEDULE & RESULTS WEEK 2 > DALLAS, TEXAS FEBRUARY College Baseball Classic (Feb. 15-18) 15 Gonzaga Surprise, Ariz. W 8-5 16 New Mexico Surprise, Ariz. L 11-1 17 Oregon State Surprise, Ariz. L 13-1 18 Gonzaga Surprise, Ariz. L 6-5 DALLAS BAPTIST 22 Dallas Baptist Dallas, Texas 6:30pm >> VS. >> PATRIOTS 23 Dallas Baptist Dallas, Texas 2pm 3-1 (0-0 Missouri Valley) 24 Dallas Baptist Dallas, Texas 1pm MINNESOTA ALL-TIME SERIES: MARCH GOLDEN GOPHERS Minnesota leads 3-1 1 NC State Raleigh, NC 5pm ET 1-3 (0-0 Big Ten) 2 NC State Raleigh, NC 4pm ET LAST MEETING 3 NC State Raleigh, NC 3pm ET W 11-9, March 21, 2009 Seattle Baseball Showcase (March 8-10) Dallas, Texas 8 Oregon State Seattle, Wash. 3pm PT 9 San Diego Seattle, Wash. 11am PT PROBABLE STARTERS 10 Washington Seattle, Wash. 7pm PT POS. NO. NAME YR. B/T 2019 STATISTICS 11 Seattle Seattle, Wash. 11:30am PT C 4 Eli Wilson So. R/R 4 GP-4 GS, .357/.400/.500, 2 2B, 3 RBI, 3 R 15 Long Beach State Long Beach, Calif. 6pm PT 1B 10 Cole McDevitt Jr. R/R 4 GP-4 GS, .286/.333/.357, 1 2B, RBI, 2 R 16 Long Beach State Long Beach, Calif. 2pm PT 2B 18 Riley Smith Sr. R/R 4 GP-4 GS, .143/.250/.143, 1-2 SB 17 Long Beach State Long Beach, Calif. 1pm PT SS 7 Jordan Kozicky R-Jr. R/R 4 GP-4 GS, .077/.250/.077, 1-1 SB, 1 R 19 Pepperdine Malibu, Calif.
  • Suggestion of Batter Ability Index in Korea Baseball - Focusing on the Sabermetrics Statistics WAR

    Suggestion of Batter Ability Index in Korea Baseball - Focusing on the Sabermetrics Statistics WAR

    The Korean Journal of Applied Statistics (2016) DOI: http://dx.doi.org/10.5351/KJAS.2016.29.7.1271 29(7), 1271{1281 Suggestion of batter ability index in Korea baseball - focusing on the sabermetrics statistics WAR Jea-Young Leea;1 · Hyeon-Gyu Kima aDepartment of Statistics, Yeungnam University (Received August 8, 2016; Revised August 30, 2016; Accepted August 30, 2016) Abstract Wins above replacement (WAR) is one of the most widely used statistic among sabermatrics statistics that measure the ability of a batter in baseball. WAR has a great advantage that is to represent the attack power of the player and the base running ability, defensive ability as a single value. In this study, we proposed a hitter ability index using the sabermetrics statistics that can replace WAR based on Korea Baseball Record Data of the last three years (2013{2015). First, we calculated Batter ability index through the arithmetic mean method, the weighted average method, principal component regression and selected the method that had high correlation with WAR. Keywords: principal component analysis, principal component regression, sabermatrics, wins above replace- ment 1. 서` |lÐ서 타자X 타©¥%D }게 Ä산Xt서 평가` 수 있는 통Ä량D 개발X0 위\ 연l는 8t버T ¸­¤(sabermatrics)| 통t서 Ä속 Ä행 중t다. 8t버T¸­¤는 누적된 자료| 토대\ 통Ä적x 관점Ð서 |lÐ 관\ 분석D X는 연l분|tp, t@ 같@ )법<\ 자료 분석X는 ¬람D 8t버T ¸­X(sabermatrician)t|고 부x다 (Hong ñ, 2016). \m프\|l(Korea Baseball Organization; KBO)Ð서 타자 ¥%Ð 관\ 연l는 Kim (2012), Lee@ Cho (2009), Lee (2014) ñt 있<p ¹히, 0tX è순\ 통Ä량D 가õX여 |l0]D 보다 수Y적·과Y적<\ 분석X는 8t버T¸­¤ 분|X 중요1@ 점( 강p되고 있다 (Kang ñ, 2014; Cho ñ, 2007).
  • Mapping Batter Ability in Baseball Using Spatial Statistics Techniques

    Mapping Batter Ability in Baseball Using Spatial Statistics Techniques

    Section on Statistical Graphics – JSM 2010 Mapping Batter Ability in Baseball Using Spatial Statistics Techniques Ben Baumer∗ Dana Draghicescuy Abstract In baseball, an area in or around the strike zone in which batters are more likely to hit the ball is called a hot zone. Scouting reports are often based on maps displaying a player's batting average in a discretized area of the strike zone. These reports are then used by both batting and pitching coaches to devise game strategies. This paper is motivated by the Sportvision PITCHf/x data, which provides accurate continuous location coordinates for individual pitches using high-speed cameras. Extended exploratory analyses show a number of interesting and challenging spatial features that we exploit in order to produce improved hot zone maps based on both parametric (kriging) and nonparametric (smoothing) techniques. Key Words: baseball, hot zone, kernel smoothing, kriging, PITCHf/x data, spatial prediction 1. Motivation In baseball, the concept of a hot zone (an area in or around the strike zone in which batters are more likely to hit the ball well) is common, going at least as far back the publication of Ted Williams's book, The Science of Hitting, in 1986 (Williams and Underwood 1986). Major television broadcasts commonly display a graphic in which the strike zone is divided into a 3×3 grid, and a batter's batting average in each cell in shown. Within the industry, several vendors produce more elaborate scouting reports based on this same principle of displaying a batter's batting average in a discretized area of the strike zone.
  • Middle Tennessee

    Middle Tennessee

    Week Nine - April 10-12 | Blue Raiders vs. Bulldogs Contact: Tony Stinnett/Derrick Blyberg Middle Tennessee Athletics MTSU Box 20 MIDDLE TENNESSEE Murfreesboro, TN 37132 Office: 615-898-2968 | Fax: 615-898-5626 GoBlueRaiders.com [email protected] BASEBALL [email protected] ESTABLISHED 1913 | 14 NCAA APPEARANCES | 16 CONFERENCE TITLES 2015 SCHEDULE/RESULTS FEBRUARY WEEK NINE 13 Fri. Jacksonville W, 7-2 GAME 1: ...........................................FRIDAY, APRIL 10, 6 P.M. 14 Sat. Jacksonville W, 8-5 GAME 2: ......................................SATURDAY, APRIL 11, 4 P.M. 15 Sun. Jacksonville L, 11-2 GAME 3 ...........................................SUNDAY, APRIL 12, 1 P.M. 22 SUN. WESTERN ILLINOIS W, 16-14 LOCATION: .........................................MURFREESBORO, TENN. 22 SUN. WESTERN ILLINOIS W, 5-4 VENUE: ..............................................REESE SMITH JR. FIELD 23 MON. WESTERN ILLINOIS W, 19-2 CAPACITY: ......................................................................2,600 27 Fri. New Orleans W, 2-1 (12) SERIES: ..............................................................MT LEADS 5-4 28 Sat. New Orleans W, 15-2 AT REESE SMITH JR. FIELD: ................................................4-2 MARCH RADIO: ..................................................... WMOT-2 (92.5 FM) 1 Sun. New Orleans L, 8-2 INTERNET AUDIO ................................. GOBLUERAIDERS.COM 7 SAT. IOWA L, 2-1 WEBCAST ............................................ GOBLUERAIDERS.COM 7 SAT. IOWA L, 6-1 MIDDLE TENNESSEE (17-15, 9-3 C-USA) TV: ....................................................................................N/A LA TECH (15-15, 2-9 C-USA) LIVE STATS: .......................................... GOBLUERAIDERS.COM 8 SUN. IOWA W, 9-8 BLUE RAIDERS TWITTER UPDATES: .....................................@MT_BASEBALL BULLDOGS 10 Tues. Memphis L, 3-1 11 Weds. Memphis L, 11-0 14 SAT. UAB* W, 8-0 14 SAT. UAB* W, 3-0 THE MATCHUP 15 SUN. UAB* W, 3-2 • Middle Tennessee and LA Tech meet for a three-game weekend series in Murfreesboro.
  • Emporia State Hornets Game Notes at Northeastern St. Riverhawks

    Emporia State Hornets Game Notes at Northeastern St. Riverhawks

    Emporia State Hornets Game Notes at Northeastern St. RiverHawks 2019 Schedule and Results Emporia State Hornets (25-16, 17-10 MIAA) Date Opponent Time/Result at Northeastern State RiverHawks (11-32, 8-19 MIAA) Friday, April 26, 2019 • 2:00 p.m. • Thomas Rousey Field • Tahlequah, Okla. Feb. 1 vs. Lubbock Christian L 1-2 (10) Saturday, April 27, 2019 • 2:00 p.m. • Thomas Rousey Field • Tahlequah, Okla. Feb. 2 vs. Southeastern Okla. L 2-3 (10) Sunday, April 28, 2019 • 1:00 p.m. • Thomas Rousey Field • Tahlequah, Okla. Feb. 3 vs. Southwestern Okla. L 5-15 Radio: None Audio Stream: None Video: None Feb. 13 vs. William Jewell L 7-11 Series History: ESU Leads 16-5 Last Meeting: at ESU 5, NSU 2 (April 29, 2018) Feb. 14 vs. William Jewell (DH) W 4-3 Up Next: at Pittsburg St. • Tuesday, April 30, 2019 • 5:00 p.m. • Ortoloni Field • Pittsburg, Kan. vs. William Jewell W 10-3 Feb. 21 at #22 *Central Missouri W 10-7 LAST ROAD TRIPS ABOUT THE HORNETS Feb. 23 at #22 *Central Missouri (DH) L 1-9 The Hornets play their final road MIAA series at Emporia State is 25-16, 17-10 in the MIAA and Northeastern State in Tahlequah, Okla. ranked ninth in the Central Region. They have at #22 *Central Missouri L 1-18 gone 25-12 after starting the season 0-4. As a Feb. 28 *Lindenwood W 13-4 LAST AT BAT team they are batting .264 with 48 home runs. March 1 *Lindenwood (DH) W 4-3 Every starter either reached base or drove Hornet pitchers have a 4.51 team ERA.
  • An Open Source System for Evaluating Overall Player Performance in Major League Baseball

    An Open Source System for Evaluating Overall Player Performance in Major League Baseball

    openWAR: An Open Source System for Evaluating Overall Player Performance in Major League Baseball Benjamin S. Baumer Shane T. Jensen Smith College The Wharton School [email protected] University of Pennsylvania [email protected] Gregory J. Matthews Loyola University Chicago [email protected] March 25, 2015 Abstract Within sports analytics, there is substantial interest in comprehensive statistics intended to capture overall player performance. In baseball, one such measure is Wins Above Replace- ment (WAR), which aggregates the contributions of a player in each facet of the game: hitting, pitching, baserunning, and fielding. However, current versions of WAR depend upon propri- etary data, ad hoc methodology, and opaque calculations. We propose a competitive aggregate measure, openW AR, that is based on public data, a methodology with greater rigor and trans- parency, and a principled standard for the nebulous concept of a \replacement" player. Finally, we use simulation-based techniques to provide interval estimates for our openW AR measure that are easily portable to other domains. Keywords: baseball, statistical modeling, simulation, R, reproducibility 1 Introduction In sports analytics, researchers apply statistical methods to game data in order to estimate key quantities of interest. In team sports, arguably the most fundamental challenge is to quantify the contributions of individual players towards the collective performance of their team. In all sports the arXiv:1312.7158v3 [stat.AP] 24 Mar 2015 ultimate goal is winning and so the ultimate measure of player performance is that player's overall contribution to the number of games that his team wins. Although we focus on a particular measure of player contribution, wins above replacement (WAR) in major league baseball, the issues and approaches examined in this paper apply more generally to any endeavor to provide a comprehensive measure of individual player performance in sports.
  • Season Other Metrics

    Season Other Metrics

    Lamar University Other Metrics for Lamar (2007) (All games Sorted by Player Name) Runs Created Base Runs Extrapolated Runs Onbase + Slugging Total Average Batter RC RC/9 BSR BSR/9 XR XR/9 ob% slug% OPS GPA bases outs TA BABIP 33 Ambort, Michael 49.43 11.51 43.82 10.20 41.83 9.74 . 4 2 8 . 6 5 0 1.078 . 3 5 5 135 181 . 7 4 6 . 3 9 3 7 Baker, Ryan 34.52 6.61 33.69 6.45 33.23 6.36 . 3 9 2 . 4 3 3 . 8 2 5 . 2 8 5 109 199 . 5 4 8 . 3 3 2 6 Colvin, Michael 0.00 0.00 0.00 0.00 -0.47 -2.56 . 0 0 0 . 0 0 0 . 0 0 0 . 0 0 0 0 5 . 0 0 0 . 0 0 0 24 DeLome, Collin 48.42 9.90 44.39 9.08 42.49 8.69 . 4 0 4 . 6 1 3 1.016 . 3 3 5 141 195 . 7 2 3 . 3 7 5 28 Desmond, Wes 0.06 0.11 0.06 0.10 -0.89 -1.60 . 0 6 3 . 0 6 3 . 1 2 5 . 0 4 4 1 16 . 0 6 2 . 0 9 1 14 Dunson, Travis 16.42 3.66 16.32 3.64 16.29 3.64 . 3 4 0 . 3 4 5 . 6 8 4 . 2 3 9 70 154 . 4 5 5 . 3 0 2 27 Hernandez, Dan 21.04 7.78 20.75 7.68 19.02 7.04 .
  • 2021 Texas A&M Baseball

    2021 Texas A&M Baseball

    2021 TEXAS A&M BASEBALL GAMES 36-38 | @ #1 ARKANSAS | APRIL 16-18 GAME TIMES: 6:32 / 6:32 / 2:02 P.M. CT | SITE: Baum Stadium, Fayetteville, Arkansas Texas A&M Media Relations * www.12thMan.com Baseball Contact: Thomas Dick / E-Mail: [email protected] / C: (512) 784-2153 RESULTS/SCHEDULE TEXAS A&M 1 ARKANSAS Date Day Opponent Time (CT) # 2/20 SAT XAVIER (DH) S+ L, 6-10 XAVIER (DH) S+ L, 0-2 AGGIES RAZORBACKS 2/21 SUN XAVIER S+ W, 15-0 2/23 TUE ABILENE CHRISTIAN S+ L, 5-6 2/24 WED TARLETON STATE S+ (10) W, 8-7 2/26 Fri % vs Baylor Flo W, 12-4 2021 Record 20-15, 3-9 SEC 2021 Record 28-5, 9-3 SEC 2/27 Sat % vs Oklahoma Flo W, 8-1 Ranking - Ranking 1 (USAT, BA, NCBWA, CB, D1B) 2/28 Sun % vs Auburn Flo L, 1-6 Streak Won 1 Streak Won 3 3/2 TUE HOUSTON BAPTIST S+ W, 4-0 Last 5 / Last 10 1-4 / 3-7 Last 5 / Last 10 4-1 / 8-2 3/3 WED INCARNATE WORD S+ W, 6-4 Last Game April 13 Last Game April 14 3/5 FRI NEW MEXICO STATE S+ W, 4-1 3/6 SAT NEW MEXICO STATE S+ W, 5-0 at Texas State - W, 8-4 ARKANSAS-PINE BLUFF - W, 26-1 (7 inn) 3/7 SUN NEW MEXICO STATE S+ W, 7-1 3/9 TUE A&M-CORPUS CHRISTI S+ W, 7-0 Head Coach Rob Childress (Northwood, ‘90) Head Coach Dave Van Horn (Arkansas, ‘88) 3/10 WED PRAIRIE VIEW A&M S+ (7) W, 22-2 Overall 613-324-3 (16th season) Overall 1,099-562 (28th season) 3/12 FRI SAMFORD S+ W, 10-1 at Texas A&M same at Arkansas 728-394 (19th season 3/13 SAT SAMFORD (DH) S+ W, 21-4 SUN SAMFORD (DH) S+ W, 5-2 3/16 Tue at Houston E+ W, 9-4 PROBABLE PITCHING MATCHUPS 3/18 Thu * at #5 Florida SEC L, 4-13 • FRIDAY: #37 Dustin Saenz (Sr., LHP, 5-3, 3.19) vs.
  • Handbuch Der Statistikerstellung

    Handbuch Der Statistikerstellung

    Handbuch der Statistik- erstellung Version 1.0 Juli 2004 Erstellt von Sven Müncheberg (BBSV) Über den Autor: Sven Müncheberg ist seit 1997 als Scorer aktiv, besitzt seit 2000 die A-Lizenz und ist Ausbilder für die B- Lizenz. Im Sommer 2001 nahm er als Scorer an der A-Europameisterschaft teil. Seit 2001 leitet er die Scorerausbildung und Statistikerstellung des Bayerischen Baseball und Softball Verbandes und erstellt dort die Statistiken für die Verbandsliga. Von 2001 bis 2004 war er Mitglied der DBV-Scorerkommission und erstellte in deren Auftrag die überarbeitete Auflage des Scoringlehrbuchs sowie dieses Handbuch. INHALTSVERZEICHNIS 3 VORWORT.......................................................................................................7 1 EINLEITUNG .............................................................................................8 2 ALLGEMEINES...........................................................................................9 2.1 ARTEN VON STATISTIKEN..........................................................................9 2.1.1 BATTING-, BASERUNNING-, FIELDING- ODER PITCHINGSTATISTIKEN .................... 9 2.1.2 ZÄHLSTATISTIKEN ODER DURCHSCHNITTSSTATISTIKEN ..................................... 9 2.1.3 INDIVIDUAL-, MANNSCHAFTS- ODER LIGASTATISTIKEN ..................................... 9 2.1.4 SAISON- ODER KARRIERESTATISTIKEN .......................................................... 9 2.1.5 KOMPLETTE STATISTIKEN ODER SITUATIONSSTATISTIKEN................................ 10 2.1.6 ABSOLUTE ODER NORMIERTE

  • 2021 Texas A&M Baseball

    2021 TEXAS A&M BASEBALL GAMES 27 | TEXAS | 3/30 GAME TIMES: 6:02 P.M. CT | SITE: Olsen Field at Blue Bell Park, Bryan-College Station, Texas Texas A&M Media Relations * www.12thMan.com Baseball Contact: Thomas Dick / E-Mail: [email protected] / C: (512) 784-2153 RESULTS/SCHEDULE TEXAS A&M 8 TEXAS Date Day Opponent Time (CT) # 2/20 SAT XAVIER (DH) S+ L, 6-10 XAVIER (DH) S+ L, 0-2 AGGIES LONGHORNS 2/21 SUN XAVIER S+ W, 15-0 2/23 TUE ABILENE CHRISTIAN S+ L, 5-6 2/24 WED TARLETON STATE S+ (10) W, 8-7 2/26 Fri % vs Baylor Flo W, 12-4 2021 Record 17-9, 2-4 SEC 2021 Record 17-7, 4-2 Big 12 2/27 Sat % vs Oklahoma Flo W, 8-1 Ranking - Ranking 5 (D1B), 6 (CB & NCBWA), 7 (BA), 8 (USAT) 2/28 Sun % vs Auburn Flo L, 1-6 Streak Lost 1 Streak Lost 1 3/2 TUE HOUSTON BAPTIST S+ W, 4-0 Last 5 / Last 10 2-3 / 5-5 Last 5 / Last 10 3-2 / 8-2 3/3 WED INCARNATE WORD S+ W, 6-4 Last Game Mar 28 Last Game Mar 28 3/5 FRI NEW MEXICO STATE S+ W, 4-1 3/6 SAT NEW MEXICO STATE S+ W, 5-0 GEORGIA - L, 4-6 OKLAHOMA - L, 2-3 3/7 SUN NEW MEXICO STATE S+ W, 7-1 3/9 TUE A&M-CORPUS CHRISTI S+ W, 7-0 Head Coach Rob Childress (Northwood, ‘90) Head Coach David Pierce (Houston, ‘88) 3/10 WED PRAIRIE VIEW A&M S+ (7) W, 22-2 Overall 610-318-3 (16th season) Overall 336-193 (10th season) 3/12 FRI SAMFORD S+ W, 10-1 at Texas A&M same at Texas 139-84 (5th season) 3/13 SAT SAMFORD (DH) S+ W, 21-4 SUN SAMFORD (DH) S+ W, 5-2 3/16 Tue at Houston E+ W, 9-4 PROBABLE PITCHING MATCHUPS 3/18 Thu * at #5 Florida SEC L, 4-13 • TUESDAY: #35 Nathan Dettmer (Fr., RHP, 2-1, 1.37) vs.

  • Summaries of Research Using Retrosheet Data

    Acharya, Robit A., Alexander J. Ahmed, Alexander N. D’Amour, Haibo Lu, Carl N. Morris, Bradley D. Oglevee, Andrew W. Peterson, and Robert N. Swift (2008). Improving major league baseball park factor estimates. Journal of Quantitative Analysis in Sports, Vol. 4 Issue 2, Article 4. There are at least two obvious problems with the original Pete Palmer method for determining ballpark factor: assumption of a balanced schedule and the sample size issue (one year is too short for a stable estimate, many years usually means new ballparks and changes in the standing of any specific ballpark relative to the others). A group of researchers including Carl Morris (Acharya et al., 2008) discerned another problem with that formula; inflationary bias. I use their example to illustrate: Assume a two-team league with Team A’s ballpark “really” has a factor of 2 and Team B’s park a “real” factor of .5. That means four times as many runs should be scored in the first as in the second. Now we assume that this hold true, and that in two-game series at each park each team scores a total of eight runs at A’s home and two runs a B’s. If you plug these numbers into the basic formula, you get 1 – (8 + 8) / 2 = 8 for A; (2 + 2) / 2 = 2 for B 2 – (2 + 2) / 2 = 2 for A; (8 + 8) / 2 = 8 for B 3 – 8 / 2 = 4 for A; 2 / 8 = .25 for B figures that are twice what they should be. The authors proposed that a simultaneous solving of a series of equations controlling for team offense and defense, with the result representing the number of runs above or below league average the home park would give up during a given season.