Play 23 different addictive eWoss Games. It's FREE! Win money!
eWoss Sports
Home|News|Sports|Games
   
Home|NFL|MLB|NBA|NHL|College FB|College BK|Auto Racing
July 4, 2008 - 10:57 PM
Sponsored Listings
Hugh Downs Reports - Little known heart attack symptom many people tragically ignore.
www.bottomlinesecrets.com
Steve Nash - Browse a huge selection now. Find exactly what you want today.
www.ebay.com
NBA
NBA Home
Scores & Schedules
Standings
League Leaders
Transactions
Injuries
Teams
Players
eWoss Sports
eWoss Sports Home
NFL
NBA
NCAA Football
College Hoops
Womens College Hoops
NHL
MLB
Auto Racing
eWoss News
Breaking News Headlines
Top News Stories
U.S. National News
World News
Sports News
Business News
Entertainment News
Tech Industry News
Political News
Science News
Health News
Weird News
Steve Nash
Nash had 27 points and 16 assists to lead Phoenix to a 121-118 victory over Dallas in Game 1 of the Western Conference finals on Wednesday. The Suns' point guard recorded the most assists by anyone this postseason, which was one shy of his career playoff high. Nash, the league's two-time MVP, is averaging 20.7 points and 10.6 assists in 15 postseason games.
(Updated 5/24/2006)
Analysis: Nash averaged a career-high 18.8 points and a league-leading 10.5 assists during 79 regular-season games.

Game Logs
  REBOUNDS
  MIN PTS FG PCT FT PCT 3P PCT AST STL BLK TOT OFF DEF
Totals 2801 1489 541-1056 .512 257-279 .921 150-342 .439 826 61 12 333 47 286
Averages 35.5 18.8 6.8-13.4   3.3-3.5   1.9-4.3   10.5 0.8 0.2 4.2 0.6 3.6
Date OPP Result MIN PTS FG PCT FT PCT 3P PCT AST STL BLK TOT OFF DEF
11/1 DAL L 108-111 45 30 11-25 .440 6-6 1.000 2-5 .400 9 1 0 8 2 6
11/3 @LAL W 122-112 35 12 2-9 .222 7-7 1.000 1-4 .250 17 4 0 6 0 6
11/5 @UTA W 97-88 33 14 4-12 .333 6-6 1.000 0-3 .000 11 1 1 1 0 1
11/6 SAC L 117-118 31 18 7-12 .583 2-2 1.000 2-3 .667 13 0 0 1 0 1
11/10 DET L 104-111 34 18 6-17 .353 5-5 1.000 1-4 .250 8 0 0 0 0 0
11/12 GS W 101-86 37 18 7-14 .500 4-4 1.000 0-2 .000 10 3 0 2 0 2
11/16 MEM L 103-115 37 17 6-11 .545 2-2 1.000 3-6 .500 13 3 1 1 0 1
11/18 UTA W 102-94 31 6 3-8 .375 0-0 - 0-2 .000 10 0 0 4 0 4
11/19 @SA L 91-97 39 14 5-14 .357 4-4 1.000 0-3 .000 10 0 0 8 2 6
11/22 TOR W 90-82 42 23 9-19 .474 4-4 1.000 1-4 .250 9 0 0 6 0 6
11/23 @HOU W 100-88 37 15 6-12 .500 2-3 .667 1-3 .333 14 1 0 2 1 1
11/25 NJ W 92-81 39 27 11-18 .611 4-4 1.000 1-3 .333 6 1 0 3 0 3
11/30 IND W 109-91 34 31 10-15 .667 4-4 1.000 7-8 .875 9 0 0 8 0 8
12/2 DEN W 102-97 38 21 9-14 .643 2-3 .667 1-2 .500 10 1 0 3 0 3
12/4 ATL W 112-94 27 10 3-8 .375 3-4 .750 1-3 .333 7 2 0 4 2 2
12/6 POR W 130-85 30 14 5-9 .556 2-2 1.000 2-5 .400 12 0 1 5 3 2
12/7 @GS W 118-110 39 28 9-19 .474 10-10 1.000 0-4 .000 14 2 0 2 0 2
12/9 NY W 85-81 36 19 7-14 .500 2-2 1.000 3-4 .750 9 0 0 4 0 4
12/10 @LAC L 91-101 35 16 5-12 .417 6-6 1.000 0-1 .000 11 0 0 4 1 3
12/12 NOK L 87-91 37 14 5-13 .385 1-1 1.000 3-5 .600 16 1 1 2 0 2
12/14 @DAL L 96-102 40 20 6-18 .333 7-7 1.000 1-3 .333 5 0 0 3 0 3
12/16 @NOK W 101-88 39 18 8-20 .400 1-1 1.000 1-6 .167 9 0 0 7 0 7
12/17 @MEM L 87-91 40 19 7-10 .700 0-0 - 5-6 .833 6 0 0 7 1 6
12/20 SEA W 111-83 27 5 2-9 .222 0-0 - 1-5 .200 8 1 0 5 1 4
12/23 WAS L 111-112 36 27 8-17 .471 7-9 .778 4-8 .500 9 0 0 4 1 3
12/26 @MIN W 103-89 42 24 9-15 .600 4-4 1.000 2-6 .333 12 0 1 6 1 5
12/28 @WAS W 104-99 41 19 6-13 .462 7-7 1.000 0-3 .000 16 1 0 4 1 3
12/30 @CHA W 110-100 39 24 7-13 .538 10-11 .909 0-2 .000 13 4 0 5 1 4
12/31 @CHI W 107-98 42 14 4-10 .400 6-6 1.000 0-2 .000 10 1 0 8 0 8
1/2 @NY L 133-140 55 28 10-25 .400 5-6 .833 3-13 .231 22 1 0 5 2 3
1/4 PHI W 105-85 29 24 11-15 .733 1-1 1.000 1-3 .333 6 1 0 4 0 4
1/6 MIA W 111-93 35 11 3-6 .500 2-2 1.000 3-4 .750 19 0 0 3 0 3
1/7 SA W 91-86 40 22 8-14 .571 4-6 .667 2-2 1.000 10 2 0 3 0 3
1/10 @DEN L 137-139 53 26 10-21 .476 1-1 1.000 5-11 .455 13 1 0 4 2 2
1/12 GS W 112-99 39 20 7-12 .583 2-2 1.000 4-6 .667 16 0 0 7 0 7
1/14 CLE W 115-106 36 20 6-13 .462 5-6 .833 3-4 .750 15 1 0 3 1 2
1/17 @SAC L 90-119 28 7 2-8 .250 2-2 1.000 1-2 .500 8 0 0 4 0 4
1/18 @LAC W 112-102 39 20 6-15 .400 5-5 1.000 3-4 .750 18 0 0 2 0 2
1/20 LAL W 106-93 36 17 5-11 .455 5-5 1.000 2-4 .500 12 1 0 9 0 9
1/22 SEA L 149-152 49 28 12-20 .600 2-2 1.000 2-5 .400 16 1 1 8 1 7
1/24 @ORL L 102-111 37 22 8-15 .533 2-5 .400 4-8 .500 12 0 0 3 1 2
1/26 @MIA W 107-98 38 21 7-16 .438 3-3 1.000 4-6 .667 14 1 0 6 1 5
1/27 @ATL W 110-106 34 22 10-18 .556 0-0 - 2-5 .400 9 2 0 8 1 7
1/29 @CLE L 106-113 39 24 10-21 .476 2-2 1.000 2-6 .333 6 1 0 5 0 5
1/31 @PHI W 123-99 31 17 6-9 .667 3-3 1.000 2-3 .667 8 1 0 2 0 2
2/1 @BOS W 102-94 37 13 5-13 .385 2-2 1.000 1-5 .200 8 0 0 4 2 2
2/4 CHI W 118-101 30 21 7-10 .700 5-6 .833 2-4 .500 7 0 0 3 0 3
2/6 MIN L 101-103 37 31 10-19 .526 11-11 1.000 0-4 .000 6 1 0 6 0 6
2/8 MEM W 108-102 40 14 5-8 .625 4-5 .800 0-0 - 10 1 0 7 0 7
2/10 SAC W 112-104 35 24 8-15 .533 6-6 1.000 2-3 .667 13 1 0 1 0 1
2/15 @DEN W 116-101 30 19 8-14 .571 1-1 1.000 2-4 .500 12 2 0 6 1 5
2/16 HOU W 109-75 30 21 9-10 .900 1-2 .500 2-2 1.000 8 2 0 6 2 4
2/22 BOS W 103-94 36 9 2-13 .154 4-4 1.000 1-5 .200 4 0 0 2 0 2
2/25 CHA W 136-121 36 29 10-21 .476 6-6 1.000 3-8 .375 8 0 1 2 0 2
2/27 @HOU W 111-94 35 23 9-13 .692 4-5 .800 1-2 .500 10 0 0 3 0 3
3/1 MIL W 123-110 35 23 9-14 .643 5-5 1.000 0-4 .000 13 0 0 4 1 3
3/3 ORL W 123-118 35 18 5-8 .625 7-7 1.000 1-2 .500 13 0 1 6 2 4
3/5 @DAL W 115-107 35 25 9-15 .600 5-5 1.000 2-4 .500 11 0 0 3 1 2
3/6 @NOK W 101-88 26 12 5-11 .455 1-2 .500 1-5 .200 7 2 0 2 1 1
3/9 SA L 93-117 0 0 0-0 - 0-0 - 0-0 - 0 0 0 0 0 0
3/11 MIN W 110-102 38 31 12-18 .667 4-4 1.000 3-4 .750 11 0 0 2 0 2
3/12 @POR L 101-111 37 13 5-9 .556 1-2 .500 2-4 .500 16 0 0 7 1 6
3/14 @SEA W 129-120 34 23 10-16 .625 2-2 1.000 1-3 .333 8 1 1 3 1 2
3/15 LAC W 126-95 29 25 9-11 .818 1-1 1.000 6-8 .750 12 0 0 3 0 3
3/17 @SA L 102-108 35 30 13-22 .591 4-4 1.000 0-1 .000 6 0 0 4 0 4
3/21 @UTA L 99-107 36 20 8-12 .667 2-3 .667 2-3