| team = Jets |
|---|
| SU: |
313-308 (0.05, 50.4%) |
avg line: -101.3 / -112.1 |
on / against: +$1,033 / -$4,302 |
ROI: +1.4% / -5.5% |
|---|
| OU: |
298-285-37 (0.27, 51.1%) |
avg total: 5.5 |
| |
|---|
|
|
SoG |
Pens |
P-Mins |
P1 |
P2 |
P3 |
Final |
|---|
| Team |
30.5 |
4.4 |
10.8 |
0.9 |
1.0 |
1.0 |
2.9 |
|---|
| Opp |
30.6 |
4.1 |
10.0 |
0.8 |
0.9 |
1.0 |
2.9 |
|---|
|
| Date |
Day |
Season |
Team |
Opp |
Site |
P1 |
P2 |
P3 |
Final |
Line |
Total |
SUm |
SUr |
OUr |
ot |
|
Jan 31, 2019
|
Thursday
|
2018
|
Jets
|
Blue Jackets
|
home
|
1-2
|
1-1
|
2-0
|
4-3
|
-147
|
6.5
|
1
|
W
|
O
|
0
|
|
Feb 02, 2019
|
Saturday
|
2018
|
Jets
|
Ducks
|
home
|
6-0
|
2-2
|
1-1
|
9-3
|
-220
|
5.5
|
6
|
W
|
O
|
0
|
|
Feb 05, 2019
|
Tuesday
|
2018
|
Jets
|
Sharks
|
home
|
1-1
|
1-0
|
0-1
|
2-3
|
-125
|
6.5
|
-1
|
L
|
U
|
1
|
|
Feb 07, 2019
|
Thursday
|
2018
|
Jets
|
Canadiens
|
away
|
1-1
|
0-1
|
1-3
|
2-5
|
-108
|
6.0
|
-3
|
L
|
O
|
0
|
|
Feb 09, 2019
|
Saturday
|
2018
|
Jets
|
Senators
|
away
|
0-2
|
1-2
|
1-1
|
2-5
|
-161
|
6.5
|
-3
|
L
|
O
|
0
|
|
Feb 10, 2019
|
Sunday
|
2018
|
Jets
|
Sabres
|
away
|
0-0
|
1-1
|
2-0
|
3-1
|
-134
|
6.5
|
2
|
W
|
U
|
0
|
|
Feb 12, 2019
|
Tuesday
|
2018
|
Jets
|
Rangers
|
home
|
2-0
|
0-2
|
2-1
|
4-3
|
-194
|
6.5
|
1
|
W
|
O
|
0
|
|
Feb 14, 2019
|
Thursday
|
2018
|
Jets
|
Avalanche
|
home
|
1-2
|
0-1
|
0-1
|
1-4
|
-171
|
6.5
|
-3
|
L
|
U
|
0
|
|
Feb 16, 2019
|
Saturday
|
2018
|
Jets
|
Senators
|
home
|
2-1
|
0-1
|
1-1
|
3-4
|
-209
|
6.5
|
-1
|
L
|
O
|
1
|
|
Feb 20, 2019
|
Wednesday
|
2018
|
Jets
|
Avalanche
|
away
|
0-0
|
0-2
|
1-5
|
1-7
|
100
|
6.5
|
-6
|
L
|
O
|
0
|
|
Feb 22, 2019
|
Friday
|
2018
|
Jets
|
Knights
|
away
|
|
|
|
|
140
|
6.0
|
|
|
|
|
|
Feb 24, 2019
|
Sunday
|
2018
|
Jets
|
Coyotes
|
away
|
|
|
|
|
|
|
|
|
|
|
|
Feb 26, 2019
|
Tuesday
|
2018
|
Jets
|
Wild
|
home
|
|
|
|
|
|
|
|
|
|
|
|
Mar 01, 2019
|
Friday
|
2018
|
Jets
|
Predators
|
home
|
|
|
|
|
|
|
|
|
|
|
|
Mar 03, 2019
|
Sunday
|
2018
|
Jets
|
Blue Jackets
|
away
|
|
|
|
|
|
|
|
|
|
|
|
Mar 05, 2019
|
Tuesday
|
2018
|
Jets
|
Lightning
|
away
|
|
|
|
|
|
|
|
|
|
|
|
Mar 08, 2019
|
Friday
|
2018
|
Jets
|
Hurricanes
|
away
|
|
|
|
|
|
|
|
|
|
|
|
Mar 10, 2019
|
Sunday
|
2018
|
Jets
|
Capitals
|
away
|
|
|
|
|
|
|
|
|
|
|
|
Mar 12, 2019
|
Tuesday
|
2018
|
Jets
|
Sharks
|
home
|
|
|
|
|
|
|
|
|
|
|
|
Mar 14, 2019
|
Thursday
|
2018
|
Jets
|
Bruins
|
home
|
|
|
|
|
|
|
|
|
|
|
|
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, overtime, penalties, penalty minutes, period scores, playoffs, points, referees, rest, season, shoot out, shots on goal, site, site streak, start time, streak, team, total, winsSkater 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
