08-09 WBB Media Guide
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National Basketball Association Official
NATIONAL BASKETBALL ASSOCIATION OFFICIAL SCORER'S REPORT FINAL BOX 8/4/2009 Key Arena, Seattle, WA Officials: #17 Scott Twardoski, #42 Roy Gulbeyan, #44 Felicia Grinter Time of Game: 2:10 Attendance: 6,728 VISITOR: Phoenix Mercury (16-6) NO PLAYER MIN FG FGA 3P 3PA FT FTA OR DR TOT A PF ST TO BS PTS 23 Cappie Pondexter F 35:28 6 19 0 4 4 4 3 5 8 5 3 0 4 1 16 43 Lecoe Willingham F 22:33 2 6 0 0 0 0 2 4 6 1 4 0 5 0 4 50 Tangela Smith C 32:01 5 12 4 6 0 0 1 7 8 0 4 1 0 1 14 3 Diana Taurasi G 36:15 4 11 2 5 9 11 2 4 6 2 3 0 2 1 19 2 Temeka Johnson G 30:36 6 12 3 5 0 0 0 3 3 7 4 0 0 0 15 24 DeWanna Bonner 23:54 2 7 0 1 3 4 2 2 4 0 3 2 1 0 7 11 Ketia Swanier 13:29 2 2 1 1 0 0 1 2 3 2 0 2 0 0 5 13 Penny Taylor 19:19 6 9 2 3 4 4 2 0 2 4 4 2 3 0 18 33 Kelly Mazzante 9:06 1 4 1 4 0 0 0 0 0 0 2 0 0 1 3 21 Brooke Smith 2:19 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 30 Nicole Ohlde DND - Surgery, left wrist TOTALS: 34 82 13 29 20 23 14 27 41 21 27 7 15 4 101 PERCENTAGES: 41.5% 44.8% 87.0% TM REB: 13 TOT TO: 16 (14 PTS) HOME: SEATTLE STORM (12-8) NO PLAYER MIN FG FGA 3P 3PA FT FTA OR DR TOT A PF ST TO BS PTS 2 Swin Cash F 40:04 4 16 0 0 4 4 2 9 11 2 4 1 4 1 12 15 Lauren Jackson F 40:20 4 13 0 1 10 10 5 6 11 2 2 0 0 3 18 20 Camille Little C 42:31 9 13 1 1 1 4 1 3 4 0 2 3 2 0 20 10 Sue Bird G 40:04 5 13 2 7 1 1 0 4 4 5 2 1 4 0 13 30 Tanisha Wright G 40:46 8 15 1 1 8 10 2 3 5 7 5 2 3 0 25 14 Shannon Johnson 11:03 0 2 0 1 0 0 0 0 0 1 3 1 0 0 0 33 Janell Burse 7:09 1 2 0 0 0 0 0 0 0 0 1 1 2 0 2 4 Katie Gearlds 3:03 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 9 Suzy Batkovic-Brown DNP - Coach's Decision 43 Ashley Robinson DNP - Coach's Decision 44 Ashley Walker DND - Jammed Right Toe TOTALS: 31 75 4 11 24 29 10 26 36 17 19 9 15 4 90 PERCENTAGES: 41.3% 36.4% 82.8% TM REB: 10 TOT TO: 15 (20 PTS) SCORE BY PERIODS 1 2 3 4 1OT FINAL Mercury 23 22 19 20 17 101 STORM 23 20 16 25 6 90 Technical Fouls - Individual Mercury: NONE STORM (1): Jackson 1:32 1st Pts. -
Lady Tigers Basketball
Lady Tigers Basketball 2013-14 SCHEDULE/RESULTS Games Kerr Activities Center (2,700) - Ada, Okla. Nov. 9 - East Central vs. Southwestern Christian - 7 p.m. Date Opponent Time 1-2 Nov. 9 Southwestern Christian 7 p.m. Nov. 12 - East Central vs. St. Gregory’s - 7 p.m. Nov. 12 St. Gregory’s 7 p.m. Nov. 16 Rogers State 2 p.m. Nov. 21 *Ouachita Baptist 5:30 p.m. at Nov. 23 *Henderson State 2 p.m. Nov. 25 St. Gregory’s 7 p.m. Dec. 5 *Harding 5:30 p.m. 0-0 (0-0 GAC) 0-1 (0-0 SAC) 0-1 (0-0 SAC) Dec. 7 *Arkansas Tech 2 p.m. ECU’s interim head coach: Emily Holombek SWCU’s head coach: Becky Mitchell Dec. 14 Midwestern State 2 p.m. Holombek’s career record: 0-0 / 1st Season Mitchell’s career record: NA Holombek’s ECU record: Same Mitchell’s Record at SWCU: NA Dec. 17 Mid-American Christian 7 p.m. Jan. 2 *Arkansas-Monticello 5:30 p.m. Media Information Series Record: ECU leads, 14-2 Radio: KXFC (105.5 FM), with Kenny Morrison Last Meeting: Nov. 26, 2012 - L, 74-76 (A) Jan. 4 *Southern Arkansas 2 p.m. and online at www.ECUTigers.com Live Stats: Available on the women’s basketball Jan. 19 *Northwestern Oklahoma State 5:30 p.m. SGU’s head coach: Josiah White schedule page at www.ECUTigers.com White’s career record: 0-0 / 1st Season Jan. 11 *Southwestern Oklahoma State 2 p.m. Live Video: Available on the women’s basketball White’s Record at SGU: Same schedule page at www.ECUTigers.com Jan. -
Evaluating Lineups and Complementary Play Styles in the NBA
Evaluating Lineups and Complementary Play Styles in the NBA The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:38811515 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Contents 1 Introduction 1 2 Data 13 3 Methods 20 3.1 Model Setup ................................. 21 3.2 Building Player Proles Representative of Play Style . 24 3.3 Finding Latent Features via Dimensionality Reduction . 30 3.4 Predicting Point Diferential Based on Lineup Composition . 32 3.5 Model Selection ............................... 34 4 Results 36 4.1 Exploring the Data: Cluster Analysis .................... 36 4.2 Cross-Validation Results .......................... 42 4.3 Comparison to Baseline Model ....................... 44 4.4 Player Ratings ................................ 46 4.5 Lineup Ratings ............................... 51 4.6 Matchups Between Starting Lineups .................... 54 5 Conclusion 58 Appendix A Code 62 References 65 iv Acknowledgments As I complete this thesis, I cannot imagine having completed it without the guidance of my thesis advisor, Kevin Rader; I am very lucky to have had a thesis advisor who is as interested and knowledgable in the eld of sports analytics as he is. Additionally, I sincerely thank my family, friends, and roommates, whose love and support throughout my thesis- writing experience have kept me going. v Analytics don’t work at all. It’s just some crap that people who were really smart made up to try to get in the game because they had no talent. -
PJ Savoy Complete
PJ SAVOY 6-4/210 GUARD LAS VEGAS, NEVADA CHAPARRAL HIGH SCHOOL (CHANCELLOR DAVIS) LAS VEGAS HIGH SCHOOL (JASON WILSON) SHERIDAN COLLEGE (MATT HAMMER) FLORIDA STATE UNIVERSITY (LEONARD HAMILTON) PJ Savoy’s Career Statistics Year G-GS FG-A PCT. 3FG-3FGA PCT. FT-FTA PCT. PTS.-AVG. OR DR TR-AVG. PF-D AST TO BLK STL MIN 2016-17 28-0 47-114 .412 40-100 .400 21-30 .700 155-5.5 4 19 23-0.8 15-0 7 9 1 10 228-8.1 2017-18 27-4 58-158 .367 50-135 .370 16-22 .727 182-6.7 5 33 38-1.4 28-0 15 17 1 6 355-13.1 2018-19 37-18 68-187 .364 52-158 .329 32-39 .821 220-5.9 7 37 44-1.2 44-0 18 30 4 17 542-14.6 Totals 92-22 173-459 .381 142-393 .366 69-91 .749 557-6.03 16 89 105-1.1 87-0 40 56 6 33 1125-25.2 PJ Savoy’s Conference Statistics Year G-GS FG-A PCT. 3FG-3FGA PCT. FT-FTA PCT. PTS.-AVG. OR DR TR-AVG. PF-D AST TO BLK STL MIN 2016-17 17-0 27-63 .429 21-54 .389 10-15 .667 85-5.0 4 15 19-1.1 6-0 2 5 1 6 279-15.5 2017-18 11-1 20-56 .357 18-51 .353 8-11 .727 66-6.0 2 7 9-0.8 11-0 7 7 0 1 147-13.4 2018-19 18-5 30-85 .353 24-74 .324 13-15 .867 97-5.4 3 14 17-0.9 21-0 5 11 1 9 218-12.1 Totals 46-6 77-204 .378 63-179 .352 31-41 .756 248-5.4 9 36 45-1 38-0 14 23 2 16 644-14.0 PJ Savoy’s NCAA Tournament Statistics Year G-GS FG-A PCT. -
Probable Starting Lineups This Game by the Numbers
Louisville Basketball Quick Facts Location Louisville, Ky. 40292 Founded / Enrollment 1798 / 22,000 Nickname/Colors Cardinals / Red and Black Sports Information University of Louisville Louisville, KY 40292 www.UofLSports.com Conference BIG EAST Phone: (502) 852-6581 Fax: (502) 852-7401 email: [email protected] Home Court KFC Yum! Center (22,000) President Dr. James Ramsey Louisville Cardinals vs. Notre Dame Fighting Irish Vice President for Athletics Tom Jurich Head Coach Rick Pitino (UMass '74) U of L Record 238-91 (10th yr.) PROBABLE STARTING LINEUPS Overall Record 590-215 (25th yr.) Louisville (18-5, 7-3) Ht. Wt. Yr. PPG RPG Hometown Asst. Coaches Steve Masiello,Tim Fuller, Mark Lieberman F 5 Chris SMITH 6-2 200 Jr. 9.8 4.5 Millstone, N.J. Dir. of Basketball Operations Ralph Willard F 44 Stephan VAN TREESE 6-9 220 So. 3.5 3.9 Indianapolis, Ind. All-Time Record 1,625-849 (97 yrs.) C 23 Terrence JENNINGS 6-9 220 Jr. 9.3 5.4 Sacramento, Calif. All-Time NCAA Tournament Record 60-38 G 2 Preston KNOWLES 6-1 190 Sr. 14.9 3.7 Winchester, Ky. (36 Appearances, Eight Final Fours, G 3 Peyton SIVA 5-11 180 So. 10.7 2.9 Seattle, Wash. Two NCAA Championships - 1980, 1986) Important Phone Numbers Notre Dame (19-4, 8-3) Ht. Wt. Yr. PPG RPG Hometown Athletic Office (502) 852-5732 F 1 Tyrone NASH 6-8 232 Sr. 9.7 5.8 Queens, N.Y. Basketball Office (502) 852-6651 F 21 Tim ABROMAITIS 6-8 235 Sr. -
The Nikki Heat Novels by “Richard Castle”
The Nikki Heat novels by “Richard Castle” Heat Wave [2009] of their unresolved romantic conflict and crackling sexual tension fills the air as Heat and Rook embark on a search for a killer among celebrities and mobsters, singers and hookers, pro A New York real estate tycoon plunges to his athletes and shamed politicians. This new explosive case brings death on a Manhattan sidewalk. A trophy on the heat in the glittery world of secrets, cover-ups, and wife with a past survives a narrow escape scandals. from a brazen attack. Mobsters and moguls, with no shortage of reasons to kill, trot out their alibis. And then, in the suffocating grip Heat Rises [2011] of a record heat wave, comes another shocking murder and a sharp turn in a tense journey into the dirty little secrets of the The bizarre murder of a parish priest at a New wealthy. Secrets that prove to be fatal. Secrets that lay hidden York bondage house opens Nikki Heat’s most in the dark until one NYPD detective shines a light. thrilling and dangerous case so far, pitting her against New York’s most vicious drug lord, an Mystery sensation Richard Castle, blockbuster author of the arrogant CIA contractor, and a shadowy death wildly best-selling Derrick Storm novels, introduces his newest squad out to gun her down. And that is just the tip of the character, NYPD Homicide Detective Nikki Heat. Tough, sexy, iceberg that leads to a dark conspiracy reaching all the way to professional, Nikki Heat carries a passion for justice as she leads the highest level of the NYPD. -
Ranking the Greatest NBA Players: an Analytics Analysis
1 Ranking the Greatest NBA Players: An Analytics Analysis An Honors Thesis by Jeremy Mertz Thesis Advisor Dr. Lawrence Judge Ball State University Muncie, Indiana July 2015 Expected Date of Graduation May 2015 1-' ,II L II/du, t,- i II/em' /.. 2 ?t; q ·7t./ 2 (11 S Ranking the Greatest NBA Players: An Analytics Analysis . Iv/If 7 Abstract The purpose of this investigation was to present a statistical model to help rank top National Basketball Association (NBA) players of all time. As the sport of basketball evolves, the debate on who is the greatest player of all-time in the NBA never seems to reach consensus. This ongoing debate can sometimes become emotional and personal, leading to arguments and in extreme cases resulting in violence and subsequent arrest. Creating a statistical model to rank players may also help coaches determine important variables for player development and aid in future approaches to the game via key data-driven performance indicators. However, computing this type of model is extremely difficult due to the many individual player statistics and achievements to consider, as well as the impact of changes to the game over time on individual player performance analysis. This study used linear regression to create an accurate model for the top 150 player rankings. The variables computed included: points per game, rebounds per game, assists per game, win shares per 48 minutes, and number ofNBA championships won. The results revealed that points per game, rebounds per game, assists per game, and NBA championships were all necessary for an accurate model and win shares per 48 minutes were not significant. -
History Facilities Ncaa Sec Records Media Info
GENERAL STAFF PLAYERS STAFF REVIEW HISTORY 73 FACILITIES NCAA SEC RECORDS MEDIA INFO RECORDS SEC HISTORY UTSPORTS.COM HISTORYHISTORY ALL-TIME ROSTER A NAME NO YEARS STATUS HOMETOWN/HIGH SCHOOL POS HT GMS PPG RPG Jody Adams 3 1989-93 Graduate Cleveland, TN/Bradley Central G 5-5 107 6.7 1.7 Nicky Anosike 55 2004-08 Graduate Staten Island, NY/St. Peter’s F/C 6-4 146 7.5 6.3 Alberta Auguste 33 2006-08 Graduate Marrero, LA/John Ehret F 5-11 75 5.1 2.6 Lauren Avant 12 2010-11 Transfer Memphis, TN/Lausanne Collegiate School G 5-9 19 2.6 1.3 B Suzanne Barbre 34 1974-78 Graduate Morristown, TN/Morristown West G 5-8 64 13.5 4.2 Briana Bass 1 2008-12 Graduate Indianapolis, IN/North Central G 5-2 118 2.1 0.8 Vicki Baugh 21 2007-12 Graduate Sacramento, CA/Sacramento F 6-4 111 5.8 5.1 Angie Bjorklund 5 2007-11 Graduate Spokane Valley, WA/University G/F 6-0 132 11.1 2.9 Shannon Bobbitt 00 2006-08 Graduate New York, NY/Bergtraum G 5-2 74 9.3 2.3 Cindy Boggs 24 1974-75 Graduate Ducktown, TN G 5-6 Fonda Bondurant 12 1975-77 Graduate South Fulton, TN/South Fulton G 5-6 30 2.1 0.9 Sherry Bostic 14 1984-86 Transfer LaFollette, TN/Campbell County F 5-11 51 3.1 1.9 Nancy Bowman 12 1972-75 Graduate Lenoir City, TN G 5-3 Gina Bozeman 20 1981 Transfer Sylvester, GA/Worth Academy G 5-6 8 1.3 0.4 Dianne Brady 20 1973-75 Graduate Calhoun, TN G 5-2 Alyssia Brewer 33 2008-11 Transfer Sapulpa, OK/Sapulpa F 6-3 87 6.9 4.6 Cindy Brogdon 44 1977-79 Graduate Buford, GA/Greater Atlanta Christian F 5-10 70 20.8 6.0 Lou Brown 21 2018- Active Melbourne, AUST/Australian Inst. -
Measuring Production and Predicting Outcomes in the National Basketball Association
Measuring Production and Predicting Outcomes in the National Basketball Association Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Michael Steven Milano, M.S. Graduate Program in Education The Ohio State University 2011 Dissertation Committee: Packianathan Chelladurai, Advisor Brian Turner Sarah Fields Stephen Cosslett Copyright by Michael Steven Milano 2011 Abstract Building on the research of Loeffelholz, Bednar and Bauer (2009), the current study analyzed the relationship between previously compiled team performance measures and the outcome of an “un-played” game. While past studies have relied solely on statistics traditionally found in a box score, this study included scheduling fatigue and team depth. Multiple models were constructed in which the performance statistics of the competing teams were operationalized in different ways. Absolute models consisted of performance measures as unmodified traditional box score statistics. Relative models defined performance measures as a series of ratios, which compared a team‟s statistics to its opponents‟ statistics. Possession models included possessions as an indicator of pace, and offensive rating and defensive rating as composite measures of efficiency. Play models were composed of offensive plays and defensive plays as measures of pace, and offensive points-per-play and defensive points-per-play as indicators of efficiency. Under each of the above general models, additional models were created to include streak variables, which averaged performance measures only over the previous five games, as well as logarithmic variables. Game outcomes were operationalized and analyzed in two distinct manners - score differential and game winner. -
Stonehill (15-4/9-4 NE-10) Saturday - January 29, 2011 - 3:30 Pm Merkert Gymnasium (2,200) Easton, Massachusetts
2010-11 SAINT ROSE MEN'S BASKETBALL MEDIA NOTES Saint Rose (13-6/8-6 NE-10) at Stonehill (15-4/9-4 NE-10) Saturday - January 29, 2011 - 3:30 pm Merkert Gymnasium (2,200) Easton, Massachusetts Game Day Quick Facts Saint Rose "Golden Knights" Probable Starters Series Record: Saint Rose 8-7 F #22 . Brian Hanuschak .... 6-7 ...... JR ... 10.5 ppg ..... 8.8 rpg ........ 1.21 bpg Record at Stonehill: Stonehill 4-3 F #33 . Sheldon Griffin ....... 6-5 ...... JR ... 7.5 ppg ....... 5.1 rpg ........ .851 FT% (57-67) Record at Saint Rose: Saint Rose 5-3 G #1 ... Andre Pope ............. 5-10 .... SO .. 13.2 ppg ..... 4.6 rpg ........ 4.11 apg ......... 2.00 spg Neutral Courts: N/A G #10 . Shea Bromirski ....... 6-0 ...... JR ... 15.3 ppg ..... 2.89 apg ..... .889 FT% (80-90) NCAA Tournament: Saint Rose 1-0 G #11 . Rob Gutierrez ......... 6-0 ...... JR ... 18.5 ppg ..... 4.4 rpg ........ 2.00 spg First Meeting: 3/8/98 at Siena ....... Saint Rose 97-87 (2OT) Off The Bench ....... NCAA Regional Championship C #52 . Dominykas Milka.... 6-8 ...... FR... 5.6 ppg ....... 4.4 rpg ........ 15.4 minutes Largest Saint Rose Win: 1/18/03 G #3 ... Kareem Thomas ..... 6-1 ...... FR... 4.9 ppg ....... 1.06 apg ..... 15.6 minutes ....... 103-73 at Saint Rose F #50 . Devin Grimes ......... 6-6 ...... SO .. 3.9 ppg ....... 3.8 rpg ........ 14.0 minutes Largest Stonehill Win: 2/21/09 ....... 80-59 at Stonehill Audio Broadcast - Via the Web: ....... www.gogoldenknights.com Stonehill "Skyhawks" Probable Starters ..... -
06-07 Boys Basketball
Boy's Basketball GAME SEASON Most Points—Chester Lawrence (51) 65-66 Points—Chester Lawrence (781) 65-66 Rebounds—Travis Jones (19) 96-97 Rebounds—Mike Zimmers (318) 66-67 Assists-Lucas Hook (16) 92-93 Assists—Lucas Hook (160) 93-94 Field Goals Made—(23/28) 12/12/98 Massac Co. Field Goals Attempted—Chester Lawrence (560) 65-66 Steals-Adam Schneider (8) 98-99 12/11/98 Field Goals Made—Chester Lawrence (295) 65-66 Free Throws Made—Adam Hook (13 of 16) 98-99 Free Throws Attempted—Donnie Brady (282) 3 Point Shots Made—Drew Lawrence (8) 12/18/98, Garrett Davis (8) 04-05 Free Throws Made—Donnie Brady (205) Blocked Shots- Brett Thompson (16) 04-05 Free Throw Percentage—Bryan Waters (82.5%) 03-04 Points Per Game Average—Chester Lawrence (28.9) 65-66 CAREER Field Goal Percentage--Darin Shoemaker (69.39%) Total Points—Chester Lawrence (1897) 63-66 Charges Drawn-Jared Gurley (22) 01-02 Rebounds-Chris Geisler (751) 93-96 Steals—Bob Trover (94) 71-74 Assists-Lucas Hook (347) 91-94 Assists-Lucas Hook (160) 93-94 Steals-Bob Trover (249) 71-74 Three Pointers Made-Garrett Davis (60) 04-05 Field Goals-Chester Lawrence (?) 63-66 Blocked Shots-Brett Thompson (74) 04-05 Free Throws— 3 Point Shots Made-Brandon Bundren (126) 00-03 TEAM RECORDS-GAME Points 65-66 (121) TEAM RECORDS-SEASON Field Goals Made-(49) 73-74 Wins-(24) 65-66 & 72-73 & 74-75 & 05-06 Free Throws Made— High Average-(90.8) 65-66 3 Point Shots Made (11) 94-95 (11) 04-05 Defensive Average-(52.0) 93-94 & (52.4) 04-05 Most Points Average (90.8) 65-66 Winning %-(96%) 24-1 72-73 Least Points Allowed -
Suzie Mcconnell-Serio, University of Pittsburgh 9 A.M
22001166 UUSSAA BBaasskkeettbbaallll WWoommeenn’’ss UU1188 NNaattiioonnaall TTeeaamm JJuullyy 1133--1188,, 22001166 •• VVaallddiivviiaa,, CChhiillee U18 Scheduulee SStaff Head Coach Saturday,, July 2 Suzie McConnell-Serio, University of Pittsburgh 9 a.m. Practice 5 p.m. Practice Assistant Coach Kamie Ethridge, University of Northern Colorado Sunday,, July 3 9 a.m. Practice Assistant Coach 6 p.m. Practice Charlotte Smith, Elon University Monday,, July 4 Athlletic Trainer 11 a.m. Practice Ed Ryan, Colorado Springs, Colorado Tuesday,, July 5 Team Leaders 10 a.m. Practice Carol Callan, USA Basketball 6 p.m. Scrimmage: USA - Japan Ohemaa Nyanin, USA Basketball Wednesday, July 6 Press Officer 10 a.m. Practice Jenny Johnston, USA Basketball 5 p.m. Scrimmage: USA - Japan Thursday,, July 7 10 a.m. Practice MMediia Poolicy 5 p.m. Scrimmage: USA - Japan Media members must be credentialed to attend Friday,, July 8 training camp. For credentialing, please email Jenny 10 a.m. Practice Johnston at: [email protected] 5 p.m. Practice/Scrimmage Athletes and coaches are available for interviews after each session. All interviews should be arranged through a Saturday,, July 9 member of the USA Basketball communications staff. Depart for Chile Sunday,, July 10 TBD Practice Monday,, July 11 TBD Practice / Scrimmage Canada Tuesday,, July 12 TBD Practice • All sessions are closed to the public. • All U.S. sessions will take place at the United States Olympic Training Center in Colorado Springs, Colorado. • Media must be credentialed to attend. • U.S. times are Mountain Daylight Time. TTaabbllee ooff Coonnteennttss Generall Information Event History Training Schedule .............................................................. IFC 2014 Recap .........................................................................