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NBA Sport Data Query Language Access. SDB Home     NBA Trends     NBA Query


The Pistons are 0-5 ATS (-12.70 ppg) as a favorite - since Mar 21, 2017.
SU: 10-7 (0.88, 58.8%)
ATS: 7-9-1 (-3.71, 43.8%)   avg line: -4.6
O/U: 7-10-0 (-3.12, 41.2%)   avg total: 207.9
FG Pct FT Pct 3s Pct BLKS O-RBND RBND Fouls AST TOvers Q1 Q2 Q3 Q4 Final
Team 39.76 45.2 13.71 75.2 9.59 36.0 3.88 10.41 45.06 17.88 22.29 13.59 25.1 25.9 25.2 26.6 102.8
Opp 39.35 46.7 13.94 78.7 9.29 35.6 4.12 7.53 42.35 18.59 24.24 14.35 26.2 25.0 25.5 25.3 101.9
Date Link Day Season Team Opp Site Final Rest Line Total SUm ATSm OUm DPS DPA SUr ATSr OUr ot
Mar 21, 2017 recap Tue 2016 Pistons Nets away 96-98 1&1 -5.0 214.5 -2 -7.0 -20.5 -13.8 -6.8 L L U 0
Mar 24, 2017 recap Fri 2016 Pistons Magic away 87-115 1&1 -2.0 206.5 -28 -30.0 -4.5 -17.2 12.8 L L U 0
Mar 27, 2017 recap Mon 2016 Pistons Knicks away 95-109 2&1 -1.0 207.5 -14 -15.0 -3.5 -9.2 5.8 L L U 0
Mar 30, 2017 recap Thu 2016 Pistons Nets home 90-89 1&1 -5.5 212.0 1 -4.5 -33.0 -18.8 -14.2 W L U 0
Apr 10, 2017 recap Mon 2016 Pistons Wizards home 101-105 0&1 -3.0 208.5 -4 -7.0 -2.5 -4.8 2.2 L L U 0
Oct 18, 2017 recap Wed 2017 Pistons Hornets home 102-90 & -3.0 202.5 12 9.0 -10.5 -0.8 -9.8 W W U 0
Oct 21, 2017 recap Sat 2017 Pistons Knicks away 111-107 0&1 -2.0 206.0 4 2.0 12.0 7.0 5.0 W W O 0
Oct 23, 2017 recap Mon 2017 Pistons Seventysixers home 86-97 1&1 -3.5 214.0 -11 -14.5 -31.0 -22.8 -8.2 L L U 0
Oct 25, 2017 recap Wed 2017 Pistons Timberwolves home 122-101 1&0 -3.0 209.0 21 18.0 14.0 16.0 -2.0 W W O 0
Oct 31, 2017 recap Tue 2017 Pistons Lakers away 93-113 1&2 -3.0 207.5 -20 -23.0 -1.5 -12.2 10.8 L L U 0
Nov 03, 2017 recap Fri 2017 Pistons Bucks home 105-96 2&1 -2.0 204.5 9 7.0 -3.5 1.8 -5.2 W W U 0
Nov 04, 2017 recap Sat 2017 Pistons Kings home 108-99 0&2 -9.0 194.0 9 0.0 13.0 6.5 6.5 W P O 0
Nov 08, 2017 recap Wed 2017 Pistons Pacers home 114-97 3&0 -7.0 210.0 17 10.0 1.0 5.5 -4.5 W W O 0
Nov 10, 2017 recap Fri 2017 Pistons Hawks home 111-104 1&3 -7.5 209.0 7 -0.5 6.0 2.8 3.2 W L O 0
Nov 12, 2017 recap Sun 2017 Pistons Heat home 112-103 1&1 -3.5 202.0 9 5.5 13.0 9.2 3.8 W W O 0
Nov 29, 2017 recap Wed 2017 Pistons Suns home 131-107 1&0 -12.0 218.0 24 12.0 20.0 16.0 4.0 W W O 0
Dec 12, 2017 recap Tue 2017 Pistons Nuggets home 84-103 1&1 -6.0 208.5 -19 -25.0 -21.5 -23.2 1.8 L L U 0
Dec 14, 2017 recap Thu 2017 Pistons Hawks away 1&1 -3.5 207.0

Game Parameters: after all star break, assists, ats margin, ats streak, attendance, biggest lead, blocks, conference, date, day, defensive rebounds, division, dpa, dps, fast break points, field goals attempted, field goals made, fouls, free throws attempted, free throws made, game number, lead changes, line, losses, margin, margin after the first, margin after the third, margin at the half, matchup losses, matchup wins, minutes, month, offensive rebounds, officials, opponents, ou margin, ou streak, overtime, playoffs, points, points in the paint, position, quarter scores, rebounds, rest, round, season, seed, series game, series games, series losses, series wins, site, site streak, steals, streak, team, team rebounds, three pointers attempted, three pointers made, time of game, time zone, times tied, total, turnovers, wins

Player Parameters: assists, blocks, defensive rebounds, field goals attempted, field goals made, fouls, free throws attempted, free throws made, minutes, name, offensive rebounds, plus minus, points, position, rebounds, steals, three pointers attempted, three pointers made, turnovers


How to Query:

The syntax for access to the NBA team data is: game reference:parameter. To see the date, team, and opponent where the team scored +120 points after scoring +120 points in the previous game use the SDQL: date,team,o:team@points>120 and p:points>120

The syntax for access to the NBA player data: [team:]player name:game reference:parameter. To see the date, team, opponent and number of points by Kobe Bryant in the game after he scored more than 30 use the SDQL: date,team,o:team,Kobe Bryant:points@Kobe Bryant:p:points>30
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Content for this site is generated using the Sports Data Query Language (SDQL).