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Game

Goalie

Player

Trend Builder

Query Fundamentals

Queryable Fields

Short Cuts

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query	games	SU	On SU	Off SU	On SU $	Off SU $	On SU ROI	Off SU ROI	OU	Avg Total	On OU $	Off OU $	On OU ROI	Off OU ROI	PL	On PL	Off PL	On PL $	Off PL $	On PL ROI	Off PL ROI
goals = 4	10	8-2 (80.0%)	-304.0	250.5	$180	$-275	5.9%	-27.5%	6-4-0 (60.0%)	6.3	$160	$-260	14.5%	-23.6%	4-6-0 (40.0%)	-120.9	100.1	$-92	$0	-9.5%	0.0%
goals = 2	13	4-9 (30.8%)	-316.0	265.9	$-2,549	$2,085	-62.0%	160.4%	2-10-1 (16.7%)	6.1	$-900	$780	-63.4%	54.9%	0-13-0 (0.0%)	-125.6	102.9	$-1,005	$885	-100.0%	102.7%
goals = 6	10	10-0 (100.0%)	-314.0	259.2	$1,000	$-1,000	31.8%	-100.0%	10-0-0 (100.0%)	6.1	$1,000	$-1,100	90.9%	-100.0%	8-2-0 (80.0%)	-121.9	101.9	$270	$-321	31.7%	-43.9%
goals = 5	6	6-0 (100.0%)	-304.2	259.2	$600	$-600	32.9%	-100.0%	5-1-0 (83.3%)	6.2	$390	$-450	59.1%	-68.2%	6-0-0 (100.0%)	-131.7	111.7	$300	$-315	75.9%	-100.0%
goals = 3	14	11-3 (78.6%)	-292.7	240.3	$230	$-385	5.6%	-27.5%	3-11-0 (21.4%)	6.1	$-910	$770	-59.1%	50.0%	7-7-0 (50.0%)	-113.8	-107.0	$-280	$184	-20.5%	14.1%
goals = 1	5	1-4 (20.0%)	-307.6	251.4	$-1,078	$867	-70.1%	173.4%	0-5-0 (0.0%)	6.2	$-550	$500	-100.0%	90.9%	0-5-0 (0.0%)	-126.7	106.7	$-380	$340	-100.0%	106.2%
goals = 8	2	2-0 (100.0%)	-330.0	271.5	$200	$-200	30.3%	-100.0%	2-0-0 (100.0%)	5.8	$200	$-220	90.9%	-100.0%	2-0-0 (100.0%)	-140.0	120.0	$100	$-100	71.4%	-100.0%

Query Fundamentals

For more detailed information on SDQL including manuals and videos go HERE

The syntax for access to the NBA team data is: game reference:parameter. To see the date, team, and opponent where the team scored +120 points after scoring +120 runs in the previous game use the SDQL: date,team,o:team@points>120 and p:points>120

The syntax for access to the NBA player data: [team:]player name:game reference:parameter. To see the date, team, opponent and number of points by Kobe Bryant in the game after he scored more than 30 use the SDQL: date,team,o:team,Kobe Bryant:points@Kobe Bryant:p:points>30

Query Fundamentals:

A query consists of one or more clauses joined by and or or.

Examples:

The query:

50 < Kobe Bryant : points

and

site = away

The explain:

returns home games where Kobe Bryant scored more than 50 points on the road

If no player is given then results for the team are checked. E.g.

The query:

120 < Bulls : points

and

site = home

returns games in which the Bulls scored more than 120 points at home

points < 60

returns games when the team scored fewer than 60 points

Multiple conditions can be imposed using a comma delimited format.

points < 90,100,110

gives results grouped by points < 90, points < 100, and points < 110

You can comma-group on both sides of the inequality as per:

70,80,90,100 < points < 90,100,110

Game Reference

p :

team's previous game

N :

next match up

on :

opponent's next game

P :

previous match up

S :

starter's previous match up start

n :

team's next game

s :

starter's previous start

op :

opponent's previous game

Examples:

The query:

100 < t:rushing yards

and

to:rushing yards < 100

The explain:

Use this SDQL to see how teams do when rushing for more than 100 yards while holding their opponent to few than 100 yards

Queryable Fields

Game Fields

· after all star break
· attendance
· biggest lead
· coach
· conference
· date
· day
· division
· faceoffs won
· game number
· giveaways
· goals
· hits
· lead changes
· line
· linesmen
· losses
· margin
· margin after the first
· margin after the second
· margin after the third
· matchup losses
· matchup wins
· month
· opponent
· opponents
· ou margin
· ou streak
· over
· overtime
· penalties
· penalty minutes
· period scores
· pl margin
· playoffs
· power play goals
· power plays
· puck line
· puck line goals
· referees
· regulation line
· rest
· rot
· round
· score after the first
· score after the second
· score after the third
· season
· series game
· series games
· series losses
· series wins
· shots on goal
· site
· site streak
· srslg
· start time
· streak
· takeaways
· team
· times tied
· total
· under
· wins

The query:

40 < p:points

and

40 < p2:points

and

40 < p3:points

and

40 < p4:points

Use this SDQL to see how teams do after scoring more than 40 points their last four games

2*P:points in the paint < Po:points in the paint

and

P:season = season

return games in which the team was outscored in the paint by a factor of 2 in their previous match up

The query:

0.25*p:points<=p:fast break points

and

po:points

The explain:

return games with a team off a win in which they scored at least 25% of their points from fast breaks

Short Cuts

H, A, W, L, F, D, O, U, C, X are short cuts for home,away,win,loss,favorite,dog,over the total,under the total, and conference. As with the parameter prefixes, these can be strung together without limit.

Examples:

The query:

and

p:HFL

and

pp:HFL

The explain:

returns home favorites after they just lost as home favorites their last two games

P:O

and

PP:O

and

PPP:O

and

PPPP:O

and

PPPPP:O

and

PPPPPP:O

The explain:

returns games where teams have gone over the total their last six matchups

In addition to the above single letter short cuts the following abbreviations are available:

· AASB - after the all star break
· BASB - before the all star break
· BL - biggest lead
· DAY - day game (start time<1700)
· DIV - divisional game
· M1 - margin after the first period
· M2 - margin after the second period
· M3 - margin after the third period
· NDIV - Non-Divisional Game
· NGT - night game (start time>=1700)
· OT - game went to overtime
· P1 - goals in the first period
· P2 - goals in the second period
· P3 - goals in the third period
· PEN - penalties
· PENM - penalty minutes
· REG - regular season
· S1 - goals in the first period
· S2 - goals in the second period
· S3 - goals in the third period
· SOG - shots on goal

NHL Trend Builder

For a more detailed review of how to use the Trend Builder, go HERE

Streak

Qualifier

Data Field
Rule

Filter Value

NHL Field Options

Available Fields

Queryable Fields

Game Fields

SimpleSearch Tips

Tips on Asking Questions:

1.) Commas save lives: Lets eat, grandma. Lets eat grandma. Two very different things. Use of commas:

Houston when not a dog coming off a home game

This means Houston is neither a dog nor coming off a home game.

Houston when not a dog, coming off a home game

This means Houston is not a dog and is coming off a home game.

2.) Be precise, literal, and don't assume.

How have the Bengals have done after having won 4 of their last 5 games?

This means how have the Bengals done after having won exactly 4 of their last 5 games. If they won 5 of their last 5 those instances would not appear in your results. If you want know how the Bengals have done after having won AT LEAST 4 of their last 5 games, specify it.

3.) Try to write proper English in a tangible complete sentence.

If you misspell words or don't articulate yourself clearly you're increasing the chances that you won't be understood or get the answer you're looking for. Don't hesitate to ask a question in our Discord Community if you're unsure.

Notes:

1.) We've tested the language learning model to be over 95% accurate at translating English, especially for simpler inquiries, and with its machine learning algorithms it will only continue to improve. Be aware that SimpleSearch may not understand you or properly translate 100% of the time dependent upon how articulate and concise your question is. Give your search results a Thumbs Up or Thumbs Down to help it learn. If you don't think it gave you the right answer, let it know. Conversely, if it looks correct, also let it know.

2.) SimpleSearch is not trained on player specific queries, yet.

3.) SDQL itself currently still provides more versatility for detailed searches like open ended queries, list searches, and custom table queries.

4.) SimpleSearch is currently available for NFL and NBA and we are actively working to expand its availability to all other sports.