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Friends of Uconn Hoops:
I'd like to preface this article by stating that I am a HUGE Uconn Basketball fan; yet an amateur basketball analyst. I believe we spend too much time looking at the day-to-day progress, or lack there of that exists with our team. As a dedicated fan and believer, I implore you all to investigate the methods in which we assess team success and the measures that we use to quantify a simple game. Oftentimes we are the underdog in moments of National spotlight and we overcome such hurdles. This "odds" scenario is quantifiable to an extent; however, as we know end results do not always translate into future success.
Basketball requires ten men on court, two baskets tangential to an officially sized court, a ball, referees, a coaching staff and a bench. The ball is the most obedient object within the perimeter of the court while many variables are at play. The end result of the competition relies on both physical skill and mental strength; this metric is understood by many as team ability that thus materializes into a National ranking. We cannot predict the future rankings, nor can we completely understand the past rankings; however, metric models give us a sense of how to use data to our advantage.
A National ranking evokes many quantifiable and non-quantifiable characteristics about basketball. It predicts the future standing of a team on a weekly basis in a manner that creates an objective opinion, not an objective truth. It is the result of an inherent bias within the polling process of coaches, reporters, and analysts alike. Human error exists both on the court and behind the desk.
I would like to use this thread to hold an open discourse about:
1) What rankings are most important to us Uconn Fans such as.....
2) How we think the "informed" analysts use data.....
3) Is basketball statistic theory developed enough to create accurate data sets......
4) Do team coaching strategies need to understand the data to get ahead an win games and does this competition for information already exist......
5) Do you have a quantitative background in statistics, economics, etc.....
Thanks
I'd like to preface this article by stating that I am a HUGE Uconn Basketball fan; yet an amateur basketball analyst. I believe we spend too much time looking at the day-to-day progress, or lack there of that exists with our team. As a dedicated fan and believer, I implore you all to investigate the methods in which we assess team success and the measures that we use to quantify a simple game. Oftentimes we are the underdog in moments of National spotlight and we overcome such hurdles. This "odds" scenario is quantifiable to an extent; however, as we know end results do not always translate into future success.
Basketball requires ten men on court, two baskets tangential to an officially sized court, a ball, referees, a coaching staff and a bench. The ball is the most obedient object within the perimeter of the court while many variables are at play. The end result of the competition relies on both physical skill and mental strength; this metric is understood by many as team ability that thus materializes into a National ranking. We cannot predict the future rankings, nor can we completely understand the past rankings; however, metric models give us a sense of how to use data to our advantage.
A National ranking evokes many quantifiable and non-quantifiable characteristics about basketball. It predicts the future standing of a team on a weekly basis in a manner that creates an objective opinion, not an objective truth. It is the result of an inherent bias within the polling process of coaches, reporters, and analysts alike. Human error exists both on the court and behind the desk.
I would like to use this thread to hold an open discourse about:
1) What rankings are most important to us Uconn Fans such as.....
2) How we think the "informed" analysts use data.....
3) Is basketball statistic theory developed enough to create accurate data sets......
4) Do team coaching strategies need to understand the data to get ahead an win games and does this competition for information already exist......
5) Do you have a quantitative background in statistics, economics, etc.....
Thanks
