Winning Picks, Guaranteed
S p o r t s D a t a b a s e . c o m
tools    for    the    objective    handicapper


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

A(margin@1) query
-0.23 Hurricanes
-0.17 Sabres
-0.35 Maple Leafs
-0.02 Senators
-0.29 Avalanche
-0.01 Stars
-0.36 Coyotes
-0.31 Islanders
0.09 Predators
0.33 Blackhawks
0.27 Rangers
0.30 Capitals
-0.38 Thrashers
-0.09 Lightning
0.45 Penguins
-0.03 Flyers
0.29 Red Wings
0.09 Canucks
0.35 Sharks
0.13 Blues
0.03 Wild
-0.48 Oilers
-0.07 Flames
-0.09 Devils
-0.25 Blue Jackets
0.20 Ducks
0.07 Kings
-0.29 Panthers
0.33 Bruins
0.06 Canadiens
-0.14 Jets

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, overtime, penalties, penalty minutes, period scores, playoffs, points, referees, rest, season, shoot out, shots on goal, site, site streak, start time, streak, team, total, 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
e-mail links:   
Content for this site is generated using the Sports Data Query Language (SDQL).