Sports data query language

The Sports Data Query Language or SDQL allows anyone with access to theinternet to investigate past results in the National Football League, National Basketball Association and in Major LeagueBaseball. Users can isolate billions upon billions of interesting situationsusing SDQL. The SDQL is used by sports enthusiasts, fantasy leagueplayers, the sports media and both professional and amateur handicappers.The SDQL©, which took PhD scientists and programmers over ten yearsto develop and optimize, is extremely powerful and offers many morefeatures too numerous to be given here.

SDQL is offered at numerous quality Sports Information websites. The mostdeveloped of these is currently the website KillerSports.com [www.killersports.com] .

The SDQL offers anyone the ability to research fresh sports data touncover interesting trends in team performance. Prior to the release ofSDQL, the only people who had access to these data worked at ESPNor other similar outlets. The SDQL represents a quantum leap in the ability of theaverage fan to interrogate, investigate and research the resultsof past sporting events.

The basic format of SDQL is as simple as it can possibly be. For example,to see all the Patriots’ games in which they passed for at least 300 yards use:

team=Patriots and passing yards>=300

To see how the Patriots do AFTER a game in which they passed for 300 yards, use:

team=Patriots and p:passing yards>=300

The p indicates the previous game.

To see how the Patriots do when they passed for at least 300 yards for twostraight games, use:

team=Patriots and p:passing yards>=300 and pp:passing yards>=300

The pp indicates the second game back.

By adding more stipulations and usingshortcuts, the queries can be very specific. For example, to see how theBengals perform after a loss as a home favorite in which they were winning atthe half, committed at least three turnover and punted at least six times, use:

team=Bengals and p:LHF and p:M2>0 and p:turnovers>=3 and p:punts>=6