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


The Lightning are 0-3 AGAINST since Mar 30, 2019 as a home favorite
SU: 0-3 (-2.67, 0.0%)   avg line: -226.7 / 201.7   on / against: -$680 / +$605   ROI: -100.0% / +201.7%
OU: 2-1-0 (0.67, 66.7%)   avg total: 6.7
SoG Pens P-Mins P1 P2 P3 Final
Team 27.0 None 21.3 1.0 0.3 1.0 2.3
Opp 29.3 None 14.3 1.7 1.0 2.3 5.0
Date Day Season Team Opp Site P1 P2 P3 Final Line Total SUm SUr OUr ot
Mar 30, 2019 Saturday 2018 Lightning Capitals home 0-3 1-1 2-2 3-6 -180 7.0 -3 L O 0
Apr 10, 2019 Wednesday 2018 Lightning Blue Jackets home 3-0 0-1 0-3 3-4 -230 6.5 -1 L O 0
Apr 12, 2019 Friday 2018 Lightning Blue Jackets home 0-2 0-1 1-2 1-5 -270 6.5 -4 L U 0

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, open total, opponents, ou margin, ou streak, over, overtime, penalties, penalty minutes, period scores, playoffs, points, referees, 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).