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


team = Western Conference
SU: 1-2 (0.33, 33.3%)   avg line: -105.7 / -107.7   on / against: -$110 / +$100   ROI: -33.2% / +29.9%
OU: 2-1-0 (9.17, 66.7%)   avg total: 10.5
SoG Pens P-Mins P1 P2 P3 Final
Team None None None 2.0 4.7 3.3 10.0
Opp None None None 4.0 2.3 3.0 9.7
Date Day Season Team Opp Site P1 P2 P3 Final Line Total SUm SUr OUr ot
Jan 24, 2007 Wednesday 2006 Western Conference Eastern Conference home 3-3 6-3 3-3 12-9 -121 15.5 3 W O 1
Jan 27, 2008 Sunday 2007 Western Conference Eastern Conference away 1-5 2-0 4-3 7-8 -110 16.0 -1 L U 1
Jan 25, 2009 Sunday 2008 Western Conference Eastern Conference away 2-4 6-4 3-3 11-12 114 0.0 -1 L O 1

Game Parameters: ROT, abbreviation, attendance, city, conference, conference game, date, day, division, faceoffs won, full name, game number, goals, line, linesmen, losses, margin, matchup losses, matchup wins, month, opponents, ou margin, ou streak, over, overtime, p1 line, penalties, penalty minutes, period scores, playoffs, referees, regulation line, rest, season, shoot out, shots on goal, site, site streak, start time, streak, team, total, under, wins

Skater Parameters: assists, faceoffs lost, faceoffs won, goals, minutes, minutes even, minutes power play, minutes short handed, name, number, penalty minutes, plus minus, points, position, power play goals, shifts, short handed goals, shots on goal


How to Query:

The basic SDQL syntax is: fields @ conditions .

fields is a comma delimited list of one or more sql-like `select` terms.These can be built out of database parameters, constants, and python functions.

conditions is a conjunction (`and` / `or`) delimited list of one or more sql-like `where` terms.As with fields, each condition can be built out of database parameters, constants, and python functions.

The full SDQL query for average margin for each team is:A(margin) @ team
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Content for this site is generated using the Sports Data Query Language (SDQL).