2014
DOI: 10.1515/jqas-2013-0134
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Predicting the draft and career success of tight ends in the National Football League

Abstract: National Football League teams have complex drafting strategies based on college and combine performance that are intended to predict success in the NFL. In this paper, we focus on the tight end position, which is seeing growing importance as the NFL moves towards a more passing-oriented league. We create separate prediction models for 1. the NFL Draft and 2. NFL career performance based on data available prior to the NFL Draft: college performance, the NFL combine, and physical measures. We use linear regress… Show more

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Cited by 23 publications
(22 citation statements)
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“…Despite the difficulty of predicting NFL performance with observable pre-draft characteristics or with proxy variables for unobservable ones, there have been limited successes. Treme and Allen (2009) show that data can help teams evaluate wide receivers, and Mulholland and Jensen (2014) show the same for tight ends. However, for the reasons stated in Section I, we focus on quarterbacks.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite the difficulty of predicting NFL performance with observable pre-draft characteristics or with proxy variables for unobservable ones, there have been limited successes. Treme and Allen (2009) show that data can help teams evaluate wide receivers, and Mulholland and Jensen (2014) show the same for tight ends. However, for the reasons stated in Section I, we focus on quarterbacks.…”
Section: Literature Reviewmentioning
confidence: 99%
“…But the draft is currently not an efficient sorting mechanism. For example, Mulholland and Jensen (2014) show that the best predictors of where tight ends are drafted are not particularly good at predicting future NFL performance. As a result, teams overvalue physical traits such as body mass index, weight, and height (Mulholland and Jensen 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Studies focused on analyzing individual NFL players often attempt to predict their potential and their impact on the field. For instance, Mulholland and Jensen (2014) employed linear regression models and recursive partitioning trees on pre-NFL draft data to predict the career success of tight-ends in the NFL. In another study, Dhar (2011) found that college game statistics and body mass index were significant factors that influenced wide receivers' success in the league.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It has been stated, that beyond anthropometric and fitness variables, there are other factors that have an important prediction power on future performance. Mulholand and Jensen [ 21 ] described “football intelligence” as the ability to learn offensive schemes, memorize routes or recognize patterns in the defense to attack or catch passes. McGee et al [ 1 ], establish that quickness to react and the ability to read the offense is fundamental in football, as well as an athlete’s determination, toughness, and ability to work as part of a team.…”
Section: Discussionmentioning
confidence: 99%