KillerCapper
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Record (W-L, Avg Cover Margin, Win %)ROIProfitP-Value
SU:26-18 (0.4, 59.1%)3.2% / -10.9%$218 / $-5690.14534473
PL:22-22-0 (-0.1, 50.0%)21.1% / -23.2%$365 / $-4550.55875550
OU:25-19-0 (0.5, 56.8%)8.5% / -17.6%$410 / $-8500.22527600

team=Rangers and o:team=Blue Jackets

Date Day Season Team Opp Site Final Rest Line Total SUr OUr Ot
Feb 28, 2024Wed2023RangersBlue Jacketshome4-12&2-2656.5WU0
Feb 25, 2024Sun2023RangersBlue Jacketsaway2-40&1-1786.5LU0
Nov 12, 2023Sun2023RangersBlue Jacketshome4-32&0-2406.5WO1
Oct 14, 2023Sat2023RangersBlue Jacketsaway3-51&1-2306.5LO0
Apr 08, 2023Sat2022RangersBlue Jacketsaway4-01&1-3006.5WU0
Mar 28, 2023Tue2022RangersBlue Jacketshome6-22&2-4006.5WO0
Jan 16, 2023Mon2022RangersBlue Jacketsaway3-10&1-1706.5WU0
Oct 23, 2022Sun2022RangersBlue Jacketshome1-52&0-2506.5LU0
Jan 27, 2022Thu2021RangersBlue Jacketsaway3-52&0-2006LO0
Nov 13, 2021Sat2021RangersBlue Jacketsaway5-34&0-1355.5WO0
Oct 29, 2021Fri2021RangersBlue Jacketshome4-03&3-1905.5WU0
Feb 14, 2020Fri2019RangersBlue Jacketsaway3-10&01255.5WU0
Jan 19, 2020Sun2019RangersBlue Jacketshome1-22&0-1306LU0
Dec 05, 2019Thu2019RangersBlue Jacketsaway3-22&11206WU0
Apr 05, 2019Fri2018RangersBlue Jacketshome2-31&22206LU1
Jan 13, 2019Sun2018RangersBlue Jacketsaway5-70&02156LO0
Dec 27, 2018Thu2018RangersBlue Jacketshome3-43&31106LO1
Nov 10, 2018Sat2018RangersBlue Jacketsaway5-40&01745.5WO1
Mar 20, 2018Tue2017RangersBlue Jacketshome3-52&01305.5LO0
Nov 17, 2017Fri2017RangersBlue Jacketsaway0-21&21396LU0
Nov 06, 2017Mon2017RangersBlue Jacketshome5-31&11006WO0
Oct 13, 2017Fri2017RangersBlue Jacketsaway1-32&21315.5LU0
Feb 26, 2017Sun2016RangersBlue Jacketshome2-50&0-1275.5LO0
Feb 13, 2017Mon2016RangersBlue Jacketsaway3-21&11305.5WU0
Jan 31, 2017Tue2016RangersBlue Jacketshome4-65&4-1296.5LO0
Jan 07, 2017Sat2016RangersBlue Jacketsaway5-42&11155.5WO0
Nov 18, 2016Fri2016RangersBlue Jacketsaway2-42&2-1495.5LO0
Apr 04, 2016Mon2015RangersBlue Jacketsaway4-21&1-1675.5WO0
Feb 29, 2016Mon2015RangersBlue Jacketshome2-11&1-1555.5WU0
Oct 10, 2015Sat2015RangersBlue Jacketshome5-20&0-1575.5WO0
Oct 09, 2015Fri2015RangersBlue Jacketsaway4-2--1175.5WO0
Apr 06, 2015Mon2014RangersBlue Jacketshome4-31&1-2155.5WO1
Feb 22, 2015Sun2014RangersBlue Jacketshome4-31&0-2405.5WO1
Jan 16, 2015Fri2014RangersBlue Jacketsaway2-10&1-1355.5WU0
Oct 11, 2014Sat2014RangersBlue Jacketsaway2-51&11095LO0
Mar 21, 2014Fri2013RangersBlue Jacketsaway3-12&0-1255.5WU0
Jan 06, 2014Mon2013RangersBlue Jacketshome3-41&1-1605LO1
Dec 12, 2013Thu2013RangersBlue Jacketshome5-41&1-1766WO1
Nov 07, 2013Thu2013RangersBlue Jacketsaway4-20&11205WO0
Feb 19, 2012Sun2011RangersBlue Jacketshome5-22&0-1616WO0
Dec 11, 2010Sat2010RangersBlue Jacketsaway1-31&11165.5LU1
Nov 23, 2009Mon2009RangersBlue Jacketshome7-41&1-1325.5WO0
Oct 24, 2008Fri2008RangersBlue Jacketsaway3-13&2-1055WU1
Feb 24, 2007Sat2006RangersBlue Jacketshome2-31&1-2135.5LU1
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.