KillerCapper
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Record (W-L, Avg Cover Margin, Win %)ROIProfitP-Value
SU:21-35 (-0.6, 37.5%)-22.7% / 13.8%$-1,514 / $1,1760.04074711
PL:30-26-0 (-0.1, 53.6%)21.0% / -30.7%$330 / $-4400.34457105
OU:28-27-1 (0.4, 50.9%)-2.8% / -6.2%$-170 / $-3800.49977926

team=Senators and o:team=Capitals

Date Day Season Team Opp Site Final Rest Line Total SUr OUr Ot
Apr 07, 2024Sun2023SenatorsCapitalsaway3-20&11106WU1
Feb 26, 2024Mon2023SenatorsCapitalsaway3-61&1-1416.5LO0
Oct 18, 2023Wed2023SenatorsCapitalshome6-12&1-1756.5WO0
Dec 29, 2022Thu2022SenatorsCapitalsaway4-31&11506WO1
Dec 22, 2022Thu2022SenatorsCapitalshome2-31&21156.5LU1
Oct 20, 2022Thu2022SenatorsCapitalshome5-21&2-1106.5WO0
Feb 13, 2022Sun2021SenatorsCapitalsaway4-10&22106WU0
Jan 22, 2022Sat2021SenatorsCapitalsaway2-31&11706.5LU1
Oct 25, 2021Mon2021SenatorsCapitalshome5-71&11356LO0
Jan 31, 2020Fri2019SenatorsCapitalshome3-52&11756.5LO0
Jan 07, 2020Tue2019SenatorsCapitalsaway1-62&12406.5LO0
Feb 26, 2019Tue2018SenatorsCapitalsaway2-71&12906.5LO0
Dec 29, 2018Sat2018SenatorsCapitalshome2-30&11806.5LU0
Dec 22, 2018Sat2018SenatorsCapitalshome0-40&01426.5LU0
Feb 27, 2018Tue2017SenatorsCapitalsaway2-32&01656LU0
Nov 22, 2017Wed2017SenatorsCapitalsaway2-52&11255.5LO0
Oct 05, 2017Thu2017SenatorsCapitalshome4-5-1255.5LO1
Jan 24, 2017Tue2016SenatorsCapitalshome3-01&01205.5WU0
Jan 07, 2017Sat2016SenatorsCapitalshome0-15&11305LU0
Jan 01, 2017Sun2016SenatorsCapitalsaway1-22&01625LU0
Mar 22, 2016Tue2015SenatorsCapitalshome2-42&11305.5LO0
Jan 10, 2016Sun2015SenatorsCapitalsaway6-50&01706WO1
Dec 16, 2015Wed2015SenatorsCapitalsaway1-21&11885.5LU0
Apr 04, 2015Sat2014SenatorsCapitalshome4-31&1-1255.5WO1
Feb 05, 2015Thu2014SenatorsCapitalshome1-21&11305.5LU0
Dec 22, 2014Mon2014SenatorsCapitalsaway1-21&11805.5LU0
Jan 21, 2014Tue2013SenatorsCapitalsaway2-02&1-1155.5WU0
Dec 30, 2013Mon2013SenatorsCapitalshome5-21&0-1385WO0
Nov 27, 2013Wed2013SenatorsCapitalsaway6-42&31205.5WO0
Apr 25, 2013Thu2012SenatorsCapitalsaway1-32&11006LU0
Apr 18, 2013Thu2012SenatorsCapitalshome3-11&1-1155.5WU0
Jan 29, 2013Tue2012SenatorsCapitalshome5-61&1-1126.5LO1
Feb 22, 2012Wed2011SenatorsCapitalshome3-11&1-1016WU0
Dec 07, 2011Wed2011SenatorsCapitalshome3-51&11005.5LO0
Dec 03, 2011Sat2011SenatorsCapitalsaway2-31&11445.5LU1
Oct 15, 2011Sat2011SenatorsCapitalsaway1-21&12155.5LU0
Mar 25, 2011Fri2010SenatorsCapitalshome2-00&21515.5WU1
Jan 16, 2011Sun2010SenatorsCapitalsaway1-31&11745.5LU1
Dec 19, 2010Sun2010SenatorsCapitalshome2-31&0-1025.5LU1
Oct 11, 2010Mon2010SenatorsCapitalsaway2-31&12106LU1
Mar 30, 2010Tue2009SenatorsCapitalsaway5-42&11876WO1
Feb 11, 2010Thu2009SenatorsCapitalshome6-51&01106WO0
Jan 07, 2010Thu2009SenatorsCapitalsaway2-51&11956LO0
Nov 23, 2009Mon2009SenatorsCapitalshome4-31&1-1115.5WO1
Feb 01, 2009Sun2008SenatorsCapitalsaway4-71&01865.5LO0
Jan 20, 2009Tue2008SenatorsCapitalshome3-22&01205.5WU1
Dec 12, 2008Fri2008SenatorsCapitalsaway1-51&11515.5LO1
Nov 04, 2008Tue2008SenatorsCapitalshome2-12&2-1175.5WU1
Jan 15, 2008Tue2007SenatorsCapitalsaway2-41&1-1306LP0
Jan 01, 2008Tue2007SenatorsCapitalsaway3-62&2-1666LO0
Dec 29, 2007Sat2007SenatorsCapitalshome6-81&1-2386LO0
Nov 08, 2007Thu2007SenatorsCapitalshome1-41&1-2756LU0
Jan 30, 2007Tue2006SenatorsCapitalshome3-20&2-2526.5WU0
Jan 16, 2007Tue2006SenatorsCapitalshome5-22&2-2506.5WO0
Dec 06, 2006Wed2006SenatorsCapitalsaway2-60&3-1606.5LO0
Nov 06, 2006Mon2006SenatorsCapitalsaway3-41&1-1386.5LO1
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

attendance, biggest lead, coach, conference, date, day, division, faceoffs won, game number, giveaways, goals, hits, lead changes, line, linesmen, losses, margin, 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, season, 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:

HF

×

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:

NHL Trend Builder

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












    NHL Field Options
     as 
    • attendance+
    • biggest lead+
    • coach+
    • conference+
    • date#
    • day+
    • division+
    • faceoffs won+
    • game number+
    • giveaways+
    • goals+
    • hits+
    • lead changes+
    • line✓
    • linesmen+
    • losses+
    • margin✓
    • matchup losses+
    • matchup wins+
    • month+
    • opponent+
    • opponents+
    • ou margin✓
    • ou streak+
    • over+
    • over_invest✓
    • over_profit✓
    • overtime+
    • penalties+
    • penalty minutes+
    • period scores✓
    • pl margin✓
    • pl_invest✓
    • pl_profit✓
    • playoffs+
    • power play goals+
    • power plays+
    • puck line✓
    • puck line goals+
    • referees+
    • regulation line+
    • rest+
    • rot+
    • season✓
    • shots on goal+
    • site✓
    • site streak+
    • srslg+
    • start time+
    • streak+
    • su_invest✓
    • su_profit✓
    • takeaways+
    • team#
    • times tied+
    • total✓
    • under+
    • under_invest✓
    • under_profit✓
    • wins+
    • Day✓
    • Opp✓
    • Final✓
    • Rest✓
    • SUr✓
    • OUr✓
    • ot✓
    Queryable Fields

    attendance, biggest lead, coach, conference, date, day, division, faceoffs won, game number, giveaways, goals, hits, lead changes, line, linesmen, losses, margin, 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, season, shots on goal, site, site streak, srslg, start time, streak, takeaways, team, times tied, total, under, wins

    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.