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


The Jets are 6-0 ON since Feb 16, 2020 at home.
SU: 6-2 (0.88, 75.0%)   avg line: -107.5 / -105.9   on / against: +$440 / -$465   ROI: +44.7% / -47.4%
OU: 3-5-0 (-0.38, 37.5%)   avg total: 5.8
SoG Pens P-Mins P1 P2 P3 Final
Team 33.0 2.4 5.5 0.9 1.2 1.0 3.1
Opp 32.5 2.1 5.0 0.9 0.6 0.8 2.2
Date Day Season Team Opp Site P1 P2 P3 Final Line Total SUm SUr OUr ot
Feb 16, 2020 Sunday 2019 Jets Blackhawks home 0-1 2-1 1-0 3-2 -140 6.5 1 W U 0
Feb 18, 2020 Tuesday 2019 Jets Kings home 0-1 3-0 3-2 6-3 -160 5.5 3 W O 0
Feb 27, 2020 Thursday 2019 Jets Capitals home 1-0 0-0 2-0 3-0 130 6.5 3 W U 0
Mar 03, 2020 Tuesday 2019 Jets Sabres home 2-0 1-1 0-0 3-1 -155 5.5 2 W U 0
Mar 06, 2020 Friday 2019 Jets Knights home 3-0 1-0 0-0 4-0 110 5.5 4 W U 0
Mar 09, 2020 Monday 2019 Jets Coyotes home 0-2 2-0 2-0 4-2 -130 5.5 2 W O 0
Aug 04, 2020 Tuesday 2019 Jets Flames home 1-1 1-3 0-2 2-6 135 5.5 -4 L O 0
Aug 06, 2020 Thursday 2019 Jets Flames home 0-2 0-0 0-2 0-4 150 5.5 -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, 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).