User talk:NickBoydCU
Welcome![edit]
Hello, NickBoydCU, and welcome to Wikipedia! My name is Adam and I work with the Wiki Education Foundation; I help support students who are editing as part of a class assignment.
I hope you enjoy editing here. If you haven't already done so, please check out the student training library, which introduces you to editing and Wikipedia's core principles. You may also want to check out the Teahouse, a community of Wikipedia editors dedicated to helping new users. Below are some resources to help you get started editing.
Handouts
|
|---|
Additional Resources
|
|
If you have any questions, please don't hesitate to contact me on my talk page. Adam (Wiki Ed) (talk) 20:48, 12 September 2016 (UTC)
Week 2: Critiquing an article Article critiqued; GQ <https://en.wikipedia.org/wiki/GQ> Critiques that I posted on talk page; - Publisher incorrect in infobox. - Out of date cover shot in infobox (showing cover from November 2007) - Circulation numbers presented are from 2013. NickBoydCU (talk) 22:06, 22 October 2016 (UTC)
Week 3: Add to an article Article added to; Jordan Spieth <https://en.wikipedia.org/wiki/Jordan_Spieth> Additions that I made; (Under 2016) "Following a strong showing in the 2016 FedEx Cup Playoffs, Spieth played a prominent role on a victorious U.S. Ryder Cup Team. As the worlds #3 ranked player, behind Jason Day and Rory McIlroy, Spieth was looked upon as a leader within the American's locker room, illustrating both his maturity as a 22 year-old as well as the respect his peers have for him." NickBoydCU (talk) 22:06, 22 October 2016 (UTC)
Week 4: Choose possible topics - Sports analytics - Dataveillance - Consumer data driven marketing/sales - Cyberterrorism NickBoydCU (talk) 22:06, 22 October 2016 (UTC)
Week 5: Finalize your topic and list sources Topic; Sports Analytics Sources; -
Week 5: Draft your article Sports Analytics are a collection of relevant, historical, statistics that when properly applied can provide a competitive advantage to a team or individual. Through the collection and analyzation of these data, sports analytics inform players, coaches and other staff in order to facilitate decision making both during and prior to sporting events. The term "sports analytics" was popularized in mainstream sports culture following the release of the 2011 film, Moneyball (https://en.wikipedia.org/wiki/Moneyball_(film)), where Oakland Athletics General Manager, Billy Beane (https://en.wikipedia.org/wiki/Billy_Beane) relied heavily on the use of analytics to build a competitive team on a minimalist budget.[1] NickBoydCU (talk) 22:06, 22 October 2016 (UTC)
Week 6: Expanding your draft Sports Analytics[edit | edit source] Sports Analytics are a collection of relevant, historical, statistics that when properly applied can provide a competitive advantage to a team or individual. Through the collection and analyzation of these data, sports analytics inform players, coaches and other staff in order to facilitate decision making both during and prior to sporting events. The term "sports analytics" was popularized in mainstream sports culture following the release of the 2011 film, Moneyball <https://en.wikipedia.org/wiki/Moneyball_(film)>, where Oakland Athletics General Manager, Billy Beane <https://en.wikipedia.org/wiki/Billy_Beane> relied heavily on the use of analytics to build a competitive team on a minimalist budget.[1]
As technology has advanced over the last number of years data collection has become more in-depth and can be conducted with relative ease. Advancements in data collection have allowed for sports analytics to grow as well, leading to the development of advanced statistics as well sport specific technologies that allow for things like game simulations to be conducted by teams prior to play.
Another significant impact sports analytics have had on professional sports is in relation to sport gambling. In depth sports analytics have taken sports gambling to new levels, whether it be fantasy sports leagues or nightly wagers, betters now have more information than ever at their disposal to help aid decision making. A number of companies and webpages have been developed to help provide fans with up to the minute information for their betting needs.
Sport Specific Analytic Tools and Measurements[edit | edit source] Major League Baseball[edit | edit source] Major League Baseball has long since been the benchmark for sports analytics, with some of the games brightest minds having never stepped foot into the heat of a major or minor league baseball game. Theo Epstein of the Chicago Cubs is one of those minds who has never suited up in a professional baseball game, instead Epstein relies on his Yale University education and the numbers behind the game.[2] Epstein is a member of a growing community of brilliant minds in professional sports who are able to look beyond what they see on the field. This community has been able to grow in thanks to the in depth collection of statistics that has existed in baseball for decades.
National Hockey League (NHL)[edit | edit source] Corsi statistic:[edit | edit source] The Corsi statistic is an advanced statistic that has been widely adopted throughout the NHL, as teams, fans and media alike rely on the Corsi statistic to track shot attempt differential.[3] Corsi has been recognized as the most informative single statistic in the game of hockey as it can provide insight into both the offensive and defensive play of a team as well as the amount of time a team has possession of the puck.
Professional Golf Association (PGA) Tour[edit | edit source] Shotlink:[edit | edit source] Shotlink data collection has revolutionized the way that data is collected in the game of golf. Introduced on a full time basis in 2003, Shotlink relies on a number of strategically placed on-course laser rangefinders and cameras to collect precise data from every shot that is struck on the PGA Tour.[4] With these data, players are able to hone in on the areas of their game that need improving and on a broader year to year basis, players can review course statistics from previous years to allow for relevant tournament preparation. Shotlink has also made its mark on the world of golf course design as designers have constant access to up to the minute statistics of professional golfers, allowing for these designers to create courses that can provide a challenge for the worlds best players.[4]
Sports Analytics and Gambling[edit | edit source] References[edit | edit source] Essay.svg This is a user sandbox of NickBoydCU. A user sandbox is a subpage of the user's user page. It serves as a testing spot and page development space for the user and is not an encyclopedia article. Get Help Jump up ^ "Billy Beane". Wikipedia. 2016-10-22. Jump up ^ Schwarz, Alan (2004). The Numbers Game. New York: St. Martin's Press. Jump up ^ WILSON, ,KENT. "Wilson: Don’t know Corsi? Here’s a handy-dandy primer to NHL advanced stats". www.calgaryherald.com. Retrieved 2016-10-23. ^ Jump up to: a b Burke, Monte. "ShotLink Is Making Golf Easier For Hacks And Harder For Pros". Forbes. Retrieved 2016-10-24.
Week 6: Peer review and copy edit Classmates drafts that I reviewed; - - -