NBA Mock Draft Draft Day — June 26, 2003 (By 11 A.M.) Note: the Mock Draft Does Not Include Any Trades Which Are Expected to Occur

Total Page:16

File Type:pdf, Size:1020Kb

NBA Mock Draft Draft Day — June 26, 2003 (By 11 A.M.) Note: the Mock Draft Does Not Include Any Trades Which Are Expected to Occur The Houston Roundball Review TheHRR.com 2003 Houston Roundball Review’s Final NBA Mock Draft Draft Day — June 26, 2003 (by 11 a.m.) Note: The mock draft does not include any trades which are expected to occur. 1. Cleveland Cavaliers — LeBron James, G / F, 6’8”, 245, St. Vincent-St.Mary’s HS. 2. Detroit Pistons (from Memphis) — Darko Milicic, F / C, 7’0.75”, 250, Serbia. 3. Denver Nuggets — Carmelo Anthony, F, 6’7.5”, 233, Syracuse. 4. Toronto Raptors — Chris Bosh, F, 6’11.5”, 225, Georgia Tech. 5. Miami Heat — Maciej Lampe, F / C, 6’11”, 240, Universidad Complutense (Spain) Born in Poland. 6. Los Angeles Clippers — T.J. Ford, G, 6’0.25”, 162, Texas. 7. Chicago Bulls — Dwyane Wade, G, 6’4.75”, 212, Marquette. 8. Milwaukee Bucks (from Atlanta) — Kirk Hinrich, G, 6’3.75”, 186, Kansas. 9. New York Knicks — Chris Kaman, C, 7’0.5”, 252, Central Michigan. 10. Washington Wizards —Reece Gaines, G, 6’6”, 205, Louisville. 11. Golden State Warriors — Luke Ridnour, G, 6’2”, 167, Oregon. 12. Seattle Supersonics — Mike Sweetney, F, 6’8”, 262, Georgetown. 13. Memphis Grizzlies (from Houston) — Mickael Pietrus, G / F, 6’6”, 200, Pau Orthez (France). 14. Seattle Supersonics (from Milwaukee) — Marcus Banks, G, 6’2”, 220, UNLV. 15. Orlando Magic — Jarvis Hayes, G / F, 6’7”, 220, Georgia. 16. Boston Celtics — Nick Collison, F, 6’10”, 255, Kansas. 17. Phoenix Suns — Zarko Cabarkapa, F / C, 6’11”, 235, Buducnost (Serbia & Montenegro). 18. New Orleans Hornets — David West, F, 6’9.25”, 226, Xavier (OH). 19. Utah Jazz — Brian Cook, F, 6’10”, 240, Illinois. 20. Boston Celtics (from Philadelphia) — Aleksandar Pavlovic, G / F, 6’7”, 210, Buducnost (Serbia & Montenegro). 21. Atlanta Hawks (from Indiana) — Carlos Delfino, G, 6’6”, 230, Skipper Bologna (Italy) Born in Argentina. 22. New Jersey Nets — Boris Diaw-Riffiod, G / F, 6’8”, 203, Pau Orthez (France). 23. Portland Trailblazers — Sofoklis Schortsanitis, F, 6’9”, 255, Iraklis (Greece). 24. Los Angeles Lakers — Leandro (Leandrinho) Barbosa, G, 6’3”, 176, Bauru Tilibra (Brazil). 25. Detroit Pistons — Josh Howard, G / F, 6’6.5”, 202, Wake Forest. 26. Minnesota Timberwolves — Troy Bell, G, 6’2”, 178, Boston College. 27. Memphis Grizzlies (from Sacramento via Orlando) — Zaur (Zaza) Pachulia, F / C, 6’11”, 240, Ulker (Turkey). 28. San Antonio Spurs — Kendrick Perkins, C, 6’10”, 275, Beaumont Ozen HS. 29. Dallas Mavericks — Ndudi Ebi, F, 6’9”, 195, Westbury Christian School..
Recommended publications
  • Oh My God, It's Full of Data–A Biased & Incomplete
    Oh my god, it's full of data! A biased & incomplete introduction to visualization Bastian Rieck Dramatis personæ Source: Viktor Hertz, Jacob Atienza What is visualization? “Computer-based visualization systems provide visual representations of datasets intended to help people carry out some task better.” — Tamara Munzner, Visualization Design and Analysis: Abstractions, Principles, and Methods Why is visualization useful? Anscombe’s quartet I II III IV x y x y x y x y 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25 4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50 12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91 5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89 From the viewpoint of statistics x y Mean 9 7.50 Variance 11 4.127 Correlation 0.816 Linear regression line y = 3:00 + 0:500x From the viewpoint of visualization 12 12 10 10 8 8 6 6 4 4 4 6 8 10 12 14 16 18 4 6 8 10 12 14 16 18 12 12 10 10 8 8 6 6 4 4 4 6 8 10 12 14 16 18 4 6 8 10 12 14 16 18 How does it work? Parallel coordinates Tabular data (e.g.
    [Show full text]
  • Ea Sports All-Stars 11-11.P65
    game Exhibition Game two Nov. 11, 2002 florida #7 Florida vs. EA Sports All-Stars today’s game Q Tip 7 p.m. UF has won 15 of the last 18 exhibition games Site O’Connell Center (12,000) Q The Gators will try and go 2-0 in exhibition play for the Gainesville, Fla. fifth time in seven years TV None Radio WRUF. Steve Russell and tipoff Mark Wise call the action and Q After a 113-63 blowout over Midwest All-Stars, Florida is ready to take on the EA Sports Coaches Billy Donovan is 124-65 in All-Stars...UF is 4-1 vs. EA Sports, with the lone loss coming last season...The All-Stars his seventh season at Florida upset the Gators 100-96...It was Donovan’s first exhibition loss at home...Tonight is the last and 159-85 in his ninth year as exhibition game before Florida begins the 2002-03 season in the first round of the Preseason a head coach. Phil Bryant is the coach of EA Sports All-Stars NIT in Gainesville...UF is 40-13-1 all time in exhibition games since Florida began playing Tickets Available. Call Gator Ticket exhibition games 30 years ago... The Gators are 15-2-1 in exhibition games under head coach Office 352.275.4683 ext. 6800 Billy Donovan...Florida has won 15 of the last 18 contests......Florida has 11 century scoring Up Next Nov. 19 vs. Louisana Tech at 7 games in the preseason under Donovan...At least one Gator has scored 20 or more points in p.m.
    [Show full text]
  • 2011 Men's Final Four Records
    The Final Four Championship Results ............................... 2 Final Four Game Records.......................... 3 Championship Game Records ............... 6 Semifinal Game Records ........................... 9 Final Four Two-Game Records ............... 11 Final Four Cumulative Records .............. 13 2 CHAMPIONSHIP RESULTS Championship Results Year Champion Score Runner-Up Third Place Fourth Place 1939 Oregon 46-33 Ohio St. † Oklahoma † Villanova 1940 Indiana 60-42 Kansas † Duquesne † Southern California 1941 Wisconsin 39-34 Washington St. † Pittsburgh † Arkansas 1942 Stanford 53-38 Dartmouth † Colorado † Kentucky 1943 Wyoming 46-34 Georgetown † Texas † DePaul 1944 Utah 42-40 + Dartmouth † Iowa St. † Ohio St. 1945 Oklahoma St. 49-45 New York U. † Arkansas † Ohio St. 1946 Oklahoma St. 43-40 North Carolina Ohio St. California 1947 Holy Cross 58-47 Oklahoma Texas CCNY 1948 Kentucky 58-42 Baylor Holy Cross Kansas St. 1949 Kentucky 46-36 Oklahoma St. Illinois Oregon St. 1950 CCNY 71-68 Bradley North Carolina St. Baylor 1951 Kentucky 68-58 Kansas St. Illinois Oklahoma St. 1952 Kansas 80-63 St. John’s (NY) Illinois Santa Clara 1953 Indiana 69-68 Kansas Washington LSU 1954 La Salle 92-76 Bradley Penn St. Southern California 1955 San Francisco 77-63 La Salle Colorado Iowa 1956 San Francisco 83-71 Iowa Temple SMU 1957 North Carolina 54-53 ‡ Kansas San Francisco Michigan St. 1958 Kentucky 84-72 Seattle Temple Kansas St. 1959 California 71-70 West Virginia Cincinnati Louisville 1960 Ohio St. 75-55 California Cincinnati New York U. 1961 Cincinnati 70-65 + Ohio St. * St. Joseph’s Utah 1962 Cincinnati 71-59 Ohio St. Wake Forest UCLA 1963 Loyola (IL) 60-58 + Cincinnati Duke Oregon St.
    [Show full text]
  • By Marty Gitlin [ Intentionally Left Blank ] by Marty Gitlin
    As a rookie for the Denver Nuggets, Carmelo Anthony helped lead his team to the playoffs with his outstanding scoring skills. After he was traded to the New York Knicks, he continued to shine on the court. That’s not the only reason Carmelo Anthony is a superstar, however. When he’s not sinking shots, Carmelo is helping those in need through the Carmelo Anthony Foundation. The foundation sets up after-school programs for kids and provides food for the Gitlin hungry. Follow Carmelo through the biggest moments of his career on and off the court to see how this basketball legend makes a difference. Carmelo Anthony Kevin Love Kevin Durant Chris Paul Blake Griffin Derrick Rose LeBron James Amar’e Stoudemire Dwyane Wade by Marty Gitlin [ Intentionally Left Blank ] by Marty Gitlin Consultant: Jon Krawczynski AP Basketball Writer Credits Cover and Title Page, © Bill Kostroun/AP Images, Michael Dwyer/AP Images, and John Bazemore/AP Images; 4, © Charles Krupa/AP Images; 5, © Charles Krupa/AP Images; 6, © Yearbook Library; 7, © Image of Sport; 8, © Michael Conroy/AP Images; 9, © Michael Conroy/ AP Images; 10, © Tony Dejak/AP Images; 11, © Sue Ogrocki/AP Images; 12, © Kathy Willens/ AP Images; 13, © John Bazemore/AP Images; 14, © WENN Photos/Newscom; 15, © Bebeto Matthews/AP Images; 16, © Steve Ruark/AP Images; 17, © Mitchell Layton/NBAE via Getty Images; 18, © Shutterstock; 19, © Sue Ogrocki/AP Images; 20, © Bebeto Matthews/AP Images; 21, © Bill Kostroun/AP Images; 22, © Michael Conroy/AP Images; 22, © Staff/MCT/Newscom. Publisher: Kenn Goin Senior Editor: Joyce Tavolacci Creative Director: Spencer Brinker Photo Researcher: Chrös McDougall Library of Congress Cataloging-in-Publication Data Gitlin, Marty.
    [Show full text]
  • Central Michigan Men's Basketball
    CENTRAL MICHIGAN MEN’S BASKETBALL RECORD BOOK updated 5/18 CENTRAL MICHIGAN MEN’S BASKETBALL RECORD BOOK ATHLETIC HONORS ALL-MID-AMERICAN CONFERENCE Mike Robinson 1980 MAC TOURNAMENT MVP First Team Tommie Johnson 1987 Dan Majerle 1987 Ben Kelso 1973 Carter Briggs 1989 Chris Kaman 2003 James McElroy 1975 Darian McKinney 1991 Dan Roundfield 1974-75 Sean Waters 1992 ALL-INTERSTATE INTERCOLLEGIATE Ben Poquette 1977 Charles Macon 1996-97 ATHLETIC CONFERENCE Jeff Tropf 1978 Nate Huffman 1997 First Team Dave Grauzer 1979 Mike Manciel 1999 Steven A. Johnson 1969 Melvin McLaughlin 1981-82 David Webber 2000, 02 Ervin Leavy 1987 Chad Pleiness 2001 Second Team Dan Majerle 1986-88 J.R. Wallace 2003 Steven A. Johnson 1968 Tommie Johnson 1988 Gerrit Brigitha 2004 Terry Walker 1969 David Webber 2001 Kevin Nelson 2005 Paul Botts 1969 Chris Kaman 2003 Giordan Watson 2006 Giordan Watson 2007 Marcus Van 2009 ALL-AMERICANS Chris Fowler 2015-16 Jalin Thomas 2011 Willie Iverson (NAIA) 1967 Marcus Keene 2017 Trey Zeigler 2011 Dan Majerle 1987 David Webber 2001 Second Team All-Freshman Team Chris Kaman 2003 Dan Roundfield 1973 Sander Scott 1990 James McElroy 1974 Dennis Kann 1990 NATIONAL COACH OF THE YEAR Leonard Drake 1977 Daniel West 1992 Ted Kjolhede (NAIA) 1965 Dave Grauzer 1978 DeShanti Foreman 1993 Thomas Kilgore 1995 Mike Robinson 1981 MAC PLAYER OF THE YEAR Mike Manciel 1999 Melvin McLaughlin 1983 Dan Roundfield 1975 Chad Pleiness 2000 Derek Boldon 1984-85 Melvin McLaughlin 1982 Gerrit Brigitha 2001 Ervin Leavy 1986 David Webber 2001 Chris Kaman 2001
    [Show full text]
  • Team 252 Team 910 Team 919 Team 336 Team 704 Team
    TEAM 336 Scouting report: With eight Manning into a mix of big men TEAM 919 n Rodney Rogers, Durham Hillside watch. But it wouldn’t be all perimeter NBA All-Star Game appear- that includes a former NBA MVP, n David West, Garner flash as Rogers and West would bring n Chris Paul, West Forsyth n Pete Maravich, Raleigh Broughton ances among them, Manning and McAdoo, and one of the ACC’s Scouting report: With Maravich and enough muscle to match just about any n Lou Hudson, Dudley n John Wall, Raleigh Word of God Hudson give this team a pair of early stars, Hemric, the Triad Wall in the backcourt and McGrady on front line. n Danny Manning, Page DIALING UP OUR dynamic weapons. Hudson would would have a team that would be n Tracy McGrady, Durham Mount Zion the wing, no team would be as fun to n Dickie Hemric, Jonesville slide nicely into a backcourt on better footing to compete with STATE’S BEST n Bob McAdoo, Smith with Paul. And by throwing some of the state’s other squads. While he is the brightest basketball star on the West Coast, some of NBA MVP Stephen Curry’s shine gets reflected back on his home state. Raised in Charlotte and educated at Davidson, Curry’s triumphs add new chapters to North Carolina’s already impressive hoops tradition. Since picking an all-time starting five of players who played their high school ball in North Carolina might be difficult, Fayetteville Observer staff writer Stephen Schramm has chosen teams based on the state’s six area codes.
    [Show full text]
  • NEW YORK INTERNATIONAL LAW REVIEW Winter 2012 Vol
    NEW YORK INTERNATIONAL LAW REVIEW Winter 2012 Vol. 25, No. 1 Articles Traveling Violation: A Legal Analysis of the Restrictions on the International Mobility of Athletes Mike Salerno ........................................................................................................1 The Nullum Crimen Sine Lege Principle in the Main Legal Traditions: Common Law, Civil Law, and Islamic Law Defining International Crimes Through the Limits Imposed by Article 22 of the Rome Statute Rodrigo Dellutri .................................................................................................37 When Minority Groups Become “People” Under International Law Wojciech Kornacki ..............................................................................................59 Recent Decisions Goodyear Dunlop Tires Operations, S.A. v. Brown .........................................127 The U.S. Supreme Court held that the Fourteenth Amendment’s Due Process Clause did not permit North Carolina state courts to exercise in personam jurisdiction over a U.S.-based tire manufacturer’s foreign subsidiaries. John Wiley & Sons, Inc. v. Kirtsaeng ..............................................................131 The Second Circuit extended copyright protection to the plaintiff-appellee’s foreign-manufactured books, which the defendant-appellant imported and resold in the United States, pursuant to a finding that the “first-sale doctrine” does not apply to works manufactured outside of the United States. Sakka (Litigation Guardian of) v. Société Air France
    [Show full text]
  • 2016-17 Immaculate Basketball Player Checklist;
    2016-17 Immaculate Basketball Team Card Totals 402 total players with cards; 397 with Hits; 377 with 10 or more Hits Auto Auto Relic NBA Total Total Auto Auto Auto NBA NBA Auto Other Team Only Letter Logo Shoe Base Cards HITS Total Only Relic Logo Logo Shoe Relic Total Vet Rookie Vet Aaron Brooks 11 11 0 11 11 Aaron Gordon 757 582 237 345 135 1 101 1 28 316 175 Adreian Payne 150 150 0 150 150 Adrian Dantley 178 178 174 4 174 4 AJ Hammons 142 142 0 142 7 135 Al Horford 324 149 0 149 7 142 175 Al Jefferson 100 100 0 100 100 Alec Burks 431 431 135 296 135 5 1 290 Alex English 273 273 273 0 272 1 0 Al-Farouq Aminu 101 101 0 101 1 100 Allan Houston 209 209 209 0 209 0 Allen Crabbe 124 124 124 0 124 0 Allen Iverson 485 310 278 32 129 149 32 175 Alonzo Mourning 68 68 35 33 35 33 Amar'e 316 316 0 316 316 Stoudemire Amir Johnson 28 28 0 28 7 1 20 Anderson 16 16 0 16 16 Varejao Andre 446 271 171 100 135 36 1 99 175 Drummond Andre Iguodala 101 101 0 101 1 100 Andre Miller 61 61 0 61 61 Andre Roberson 194 194 0 194 8 1 185 Andrei Kirilenko 246 246 146 100 146 100 Andrew Bogut 28 28 0 28 1 27 Andrew Wiggins 551 376 181 195 124 1 56 7 1 28 159 175 Anfernee 318 318 219 99 219 99 Hardaway Anthony Davis 659 484 357 127 229 71 1 56 1 26 100 175 Antoine Carr 99 99 99 0 99 0 Artis Gilmore 75 75 75 0 75 0 Arvydas Sabonis 148 148 148 0 148 0 Avery Bradley 277 102 0 102 1 101 175 Ben McLemore 101 101 0 101 1 100 GroupBreakChecklists.com 2016-17 Immaculate Basketball Card PLAYER Totals Cheat Sheet Auto Auto Relic NBA Total Total Auto Auto Auto NBA NBA Auto Other
    [Show full text]
  • Open Andrew Bryant SHC Thesis.Pdf
    THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF ECONOMICS REVISITING THE SUPERSTAR EXTERNALITY: LEBRON’S ‘DECISION’ AND THE EFFECT OF HOME MARKET SIZE ON EXTERNAL VALUE ANDREW DAVID BRYANT SPRING 2013 A thesis submitted in partial fulfillment of the requirements for baccalaureate degrees in Mathematics and Economics with honors in Economics Reviewed and approved* by the following: Edward Coulson Professor of Economics Thesis Supervisor David Shapiro Professor of Economics Honors Adviser * Signatures are on file in the Schreyer Honors College. i ABSTRACT The movement of superstar players in the National Basketball Association from small- market teams to big-market teams has become a prominent issue. This was evident during the recent lockout, which resulted in new league policies designed to hinder this flow of talent. The most notable example of this superstar migration was LeBron James’ move from the Cleveland Cavaliers to the Miami Heat. There has been much discussion about the impact on the two franchises directly involved in this transaction. However, the indirect impact on the other 28 teams in the league has not been discussed much. This paper attempts to examine this impact by analyzing the effect that home market size has on the superstar externality that Hausman & Leonard discovered in their 1997 paper. A road attendance model is constructed for the 2008-09 to 2011-12 seasons to compare LeBron’s “superstar effect” in Cleveland versus his effect in Miami. An increase of almost 15 percent was discovered in the LeBron superstar variable, suggesting that the move to a bigger market positively affected LeBron’s fan appeal.
    [Show full text]
  • Individual Statistical Leaders
    Tournament Individual Leaders (as of Aug 14, 2012) All games FIELD GOAL PCT (min. 10 made) FG ATT Pct FIELD GOAL ATTEMPTS G Att Att/G -------------------------------------------- --------------------------------------------- Darius Songaila-LTH........... 24 30 .800 Patrick Mills-AUS............. 6 116 19.3 Tyson Chandler-USA............ 14 20 .700 Luis Scola-ARG................ 8 106 13.3 Andre Iguodala-USA............ 14 20 .700 Manu Ginobili-ARG............. 8 103 12.9 Aaron Baynes-AUS.............. 21 32 .656 Kevin Durant-USA.............. 8 101 12.6 Anthony Davis-USA............. 11 17 .647 Pau Gasol-ESP................. 8 100 12.5 Kevin Love-USA................ 34 54 .630 Dan Clark-GBR................. 15 24 .625 FIELD GOALS MADE G Made Made/G Tomofey Mozgov-RUS............ 33 53 .623 --------------------------------------------- LeBron James-USA.............. 44 73 .603 Pau Gasol-ESP................. 8 57 7.1 Serge Ibaka-ESP............... 26 45 .578 Luis Scola-ARG................ 8 56 7.0 Nene Hilario-BRA.............. 12 21 .571 Manu Ginobili-ARG............. 8 51 6.4 Pau Gasol-ESP................. 57 100 .570 Kevin Durant-USA.............. 8 49 6.1 Patrick Mills-AUS............. 6 49 8.2 3-POINT FG PCT (min. 5 made) 3FG ATT Pct 3-POINT FG ATTEMPTS G Att Att/G -------------------------------------------- --------------------------------------------- Shipeng Wang-CHN.............. 13 21 .619 Kevin Durant-USA.............. 8 65 8.1 S. Jasikevicius-LTH........... 7 12 .583 Carlos Delfino-ARG............ 8 54 6.8 Dan Clark-GBR................. 8 14 .571 Patrick Mills-AUS............. 6 48 8.0 Andre Iguodala-USA............ 5 9 .556 Carmelo Anthony-USA........... 8 46 5.8 Amine Rzig-TUN................ 8 15 .533 Manu Ginobili-ARG............. 8 43 5.4 Kevin Durant-USA.............
    [Show full text]
  • Graphical Model for Baskeball Match Simulation
    Graphical Model for Baskeball Match Simulation Min-hwan Oh, Suraj Keshri, Garud Iyengar Columbia University New York, NY, USA, 10027 [email protected], [email protected] [email protected] Abstract Conventional approaches to simulate matches have ignored that in basketball the dynamics of ball movement is very sensitive to the lineups on the court and unique identities of players on both offense and defense sides. In this paper, we propose the simulation infrastructure that can bridge the gap between player identity and team level network. We model the progression of a basketball match using a probabilistic graphical model. We model every touch and event in a game as a sequence of transitions between discrete states. We treat the progression of a match as a graph, where each node is a network structure of players on the court, their actions, events, etc., and edges denote possible moves in the game flow. Our results show that either changes in the team lineup or changes in the opponent team lineup significantly affects the dynamics of a match progression. Evaluation on the match data for the 2013-14 NBA season suggests that the graphical model approach is appropriate for modeling a basketball match. 1 Introduction Predicting the outcomes of professional sports events is one of the most popular practices in the sports media, fan communities and, of course, sport betting related industries. Predictions range from human prediction to statistical analysis of historical data. In recent years, basketball, specifically the NBA, has received much atten- tion as a domain of analytics with the advent of player tracking data.
    [Show full text]
  • Quick Facts 2004-05 Schedule Contents
    Contents General Information Schedule/Quick Facts .........................1 Media Information ..............................2 Troutt-Wittmann Center ....................3 Southern Illinois University ...........4-5 SIU Arena .........................................6-9 Salukis in the NBA ......................10-11 Origin & History of the Saluki ...12-13 Chancellor Walter Wendler .............14 Paul Kowalczyk .................................15 Chris Lowery ...............................16-17 Assistant Coaches .......................18-19 2004-05 Preview Season Outlook ........................... 20-21 Rosters ............................................... 22 The Players Returning Veterans ....................24-35 Newcomers .................................36-42 2003-04 Recap 2004-05 Schedule Quick Facts Game Summaries ....................... 44-51 November The University Statistics ......................................52-54 Sun. 7 Missouri Southern (Exhibition) 5:05 p.m. Founded ..................................... 1869 Sun. 14 Lincoln University (Exhibition) 2:05 p.m. Enrollment ................................ 21,589 The Record Book Sun. 21 Augustana (lll.)• 2:05 p.m. Nickname ................................. Salukis Tues. 23 Tennessee State• 7:05 p.m. Colors .....................Maroon and White Year-By-Year Team Stats ........... 56-57 Fri. 26 Vanderbilt•• 5:00 p.m. (PST) Arena .................................. SIU Arena Chronological Lists .....................58-59 Sat. 27 TBA•• TBA Capacity ...................................
    [Show full text]