KillerCapper
KillerCapper
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Record (W-L, Avg Cover Margin, Win %)ROIProfitP-Value
SU:40-47 (-0.6, 46.0%)2.6% / -5.8%$265 / $-8400.26090872
PL:43-44-0 (-0.0, 49.4%)-25.1% / 15.6%$-710 / $4650.50145449
OU:33-51-3 (0.1, 39.3%)-24.2% / 15.4%$-2,310 / $1,4700.03157148

team=Blue Jackets and o:team=Red Wings

Date Day Season Team Opp Site Final Rest Line Total SUr OUr Ot
Mar 19, 2024Tue2023Blue JacketsRed Wingsaway3-41&11456.5LO1
Nov 11, 2023Sat2023Blue JacketsRed Wingsaway4-51&11366.5LO0
Oct 16, 2023Mon2023Blue JacketsRed Wingshome0-41&11156.5LU0
Jan 14, 2023Sat2022Blue JacketsRed Wingsaway4-31&11856.5WO0
Dec 04, 2022Sun2022Blue JacketsRed Wingshome2-41&01056.5LU0
Nov 19, 2022Sat2022Blue JacketsRed Wingshome1-61&11206.5LO0
Apr 09, 2022Sat2021Blue JacketsRed Wingsaway5-41&21056.5WO1
Nov 15, 2021Mon2021Blue JacketsRed Wingshome5-31&1-1355.5WO0
Oct 19, 2021Tue2021Blue JacketsRed Wingsaway1-42&21005.5LU0
May 08, 2021Sat2020Blue JacketsRed Wingshome5-40&0-1355WO1
May 07, 2021Fri2020Blue JacketsRed Wingshome2-51&4-1355LO0
Apr 27, 2021Tue2020Blue JacketsRed Wingshome1-01&2-1455WU1
Mar 28, 2021Sun2020Blue JacketsRed Wingsaway1-40&0-1755.5LU0
Mar 27, 2021Sat2020Blue JacketsRed Wingsaway1-31&1-1805.5LU0
Mar 02, 2021Tue2020Blue JacketsRed Wingshome4-11&1-1705.5WU0
Jan 19, 2021Tue2020Blue JacketsRed Wingsaway2-30&0-1755.5LU1
Jan 18, 2021Mon2020Blue JacketsRed Wingsaway3-21&1-1805.5WU0
Feb 07, 2020Fri2019Blue JacketsRed Wingshome2-02&0-3705.5WU0
Dec 17, 2019Tue2019Blue JacketsRed Wingsaway5-30&1-1456WO0
Nov 21, 2019Thu2019Blue JacketsRed Wingshome5-41&1-1906WO0
Nov 26, 2018Mon2018Blue JacketsRed Wingsaway7-51&1-1605.5WO0
Oct 30, 2018Tue2018Blue JacketsRed Wingshome3-52&1-2206LO0
Oct 04, 2018Thu2018Blue JacketsRed Wingsaway3-2--1355.5WU1
Apr 03, 2018Tue2017Blue JacketsRed Wingshome5-42&2-2305.5WO1
Mar 09, 2018Fri2017Blue JacketsRed Wingshome3-20&0-2105.5WU0
Nov 11, 2017Sat2017Blue JacketsRed Wingsaway2-10&1-1095.5WU1
Feb 11, 2017Sat2016Blue JacketsRed Wingshome2-11&1-1575.5WU0
Feb 07, 2017Tue2016Blue JacketsRed Wingsaway3-22&2-1315.5WU1
Dec 09, 2016Fri2016Blue JacketsRed Wingsaway4-13&2-1155WP0
Mar 17, 2016Thu2015Blue JacketsRed Wingshome1-33&1-1055.5LU0
Mar 08, 2016Tue2015Blue JacketsRed Wingshome5-32&11055.5WO0
Feb 23, 2016Tue2015Blue JacketsRed Wingsaway1-20&11885.5LU1
Mar 12, 2015Thu2014Blue JacketsRed Wingsaway3-11&21855.5WU0
Dec 16, 2014Tue2014Blue JacketsRed Wingsaway1-02&21635.5WU1
Nov 18, 2014Tue2014Blue JacketsRed Wingshome0-52&11005LP0
Mar 25, 2014Tue2013Blue JacketsRed Wingshome4-21&1-1455.5WO0
Mar 11, 2014Tue2013Blue JacketsRed Wingshome4-12&1-1255.5WU0
Oct 15, 2013Tue2013Blue JacketsRed Wingsaway1-62&0-1035LO0
Mar 10, 2013Sun2012Blue JacketsRed Wingsaway3-20&01505.5WU1
Mar 09, 2013Sat2012Blue JacketsRed Wingshome3-01&11105.5WU0
Feb 21, 2013Thu2012Blue JacketsRed Wingsaway3-22&11455.5WU0
Feb 02, 2013Sat2012Blue JacketsRed Wingshome1-41&01166LU0
Jan 21, 2013Mon2012Blue JacketsRed Wingshome3-41&11055.5LO1
Mar 28, 2012Wed2011Blue JacketsRed Wingshome4-21&11905.5WO0
Mar 26, 2012Mon2011Blue JacketsRed Wingsaway2-70&12645.5LO0
Feb 28, 2012Tue2011Blue JacketsRed Wingshome2-51&21555.5LO0
Jan 21, 2012Sat2011Blue JacketsRed Wingsaway2-31&12815.5LU1
Oct 25, 2011Tue2011Blue JacketsRed Wingshome4-12&21605.5WU0
Oct 21, 2011Fri2011Blue JacketsRed Wingsaway2-52&52155.5LO0
Mar 17, 2011Thu2010Blue JacketsRed Wingshome0-21&01055.5LU1
Feb 04, 2011Fri2010Blue JacketsRed Wingsaway3-02&11755.5WU1
Jan 15, 2011Sat2010Blue JacketsRed Wingsaway5-60&01545.5LO1
Jan 14, 2011Fri2010Blue JacketsRed Wingshome3-22&31255.5WU1
Nov 28, 2010Sun2010Blue JacketsRed Wingsaway2-41&11635.5LO1
Nov 26, 2010Fri2010Blue JacketsRed Wingshome1-21&11055.5LU1
Apr 09, 2010Fri2009Blue JacketsRed Wingshome0-11&11205.5LU1
Apr 07, 2010Wed2009Blue JacketsRed Wingsaway3-41&22125.5LO0
Apr 01, 2010Thu2009Blue JacketsRed Wingsaway2-31&12385.5LU0
Dec 28, 2009Mon2009Blue JacketsRed Wingshome1-01&1-1115.5WU1
Dec 26, 2009Sat2009Blue JacketsRed Wingsaway1-22&21435.5LU0
Nov 11, 2009Wed2009Blue JacketsRed Wingshome1-93&3-1015.5LO0
Apr 23, 2009Thu2008Blue JacketsRed Wingshome5-61&12005LO1
Apr 21, 2009Tue2008Blue JacketsRed Wingshome1-42&21305LP1
Apr 18, 2009Sat2008Blue JacketsRed Wingsaway0-41&12405.5LU0
Apr 16, 2009Thu2008Blue JacketsRed Wingsaway1-44&32005.5LU1
Mar 15, 2009Sun2008Blue JacketsRed Wingshome0-41&01085.5LU0
Mar 07, 2009Sat2008Blue JacketsRed Wingsaway8-21&22315.5WO0
Feb 13, 2009Fri2008Blue JacketsRed Wingshome3-22&01405.5WU0
Jan 27, 2009Tue2008Blue JacketsRed Wingshome3-25&61255.5WU1
Jan 06, 2009Tue2008Blue JacketsRed Wingsaway0-32&22705.5LU1
Nov 28, 2008Fri2008Blue JacketsRed Wingsaway3-51&12445.5LO1
Apr 03, 2008Thu2007Blue JacketsRed Wingsaway2-33&02555.5LU0
Mar 22, 2008Sat2007Blue JacketsRed Wingshome1-42&11305.5LU1
Mar 19, 2008Wed2007Blue JacketsRed Wingsaway1-30&22505.5LU1
Mar 16, 2008Sun2007Blue JacketsRed Wingshome4-31&01305.5WO1
Feb 15, 2008Fri2007Blue JacketsRed Wingsaway5-11&22475.5WO0
Nov 24, 2007Sat2007Blue JacketsRed Wingshome3-20&11505.5WU1
Nov 18, 2007Sun2007Blue JacketsRed Wingshome4-51&01205LO1
Nov 09, 2007Fri2007Blue JacketsRed Wingsaway1-41&11905.5LU0
Apr 03, 2007Tue2006Blue JacketsRed Wingsaway0-31&13355.5LU0
Apr 01, 2007Sun2006Blue JacketsRed Wingshome1-41&11625.5LU0
Mar 22, 2007Thu2006Blue JacketsRed Wingsaway2-11&13105.5WU1
Jan 19, 2007Fri2006Blue JacketsRed Wingshome3-10&11905.5WU0
Dec 28, 2006Thu2006Blue JacketsRed Wingshome4-71&01355.5LO0
Dec 20, 2006Wed2006Blue JacketsRed Wingsaway0-51&12455.5LU0
Dec 18, 2006Mon2006Blue JacketsRed Wingshome4-31&11385.5WO0
Nov 04, 2006Sat2006Blue JacketsRed Wingsaway1-40&12755.5LU0
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 only available for NFL but we are actively working to expand its availability to all other sports.