scholarly journals To Serve and Protect: Examining the Relationship between Selling Alcohol in College Football Venues and Negative Fan Behaviors

2020 ◽  
Author(s):  
Nels Popp ◽  
Archer Bane ◽  
Steven M. Howell ◽  
Barbara Osborne
Keyword(s):  
College Football ◽  
The Relationship

Relationship Between Pretraining Subjective Wellness Measures, Player Load, and Rating-of-Perceived-Exertion Training Load in American College Football

2018 ◽  
Vol 13 (1) ◽  
pp. 95-101 ◽  
Author(s):  
Andrew D. Govus ◽  
Aaron Coutts ◽  
Rob Duffield ◽  
Andrew Murray ◽  
Hugh Fullagar
Keyword(s):  
Muscle Soreness ◽  
Perceived Exertion ◽  
Training Session ◽  
College Football ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Football Players ◽  
Unit Increase ◽  
Relationship Of ◽  
The Relationship

Context:The relationship between pretraining subjective wellness and external and internal training load in American college football is unclear.Purpose:To examine the relationship of pretraining subjective wellness (sleep quality, muscle soreness, energy, wellness Z score) with player load and session rating of perceived exertion (s-RPE-TL) in American college football players.Methods:Subjective wellness (measured using 5-point, Likert-scale questionnaires), external load (derived from GPS and accelerometry), and s-RPE-TL were collected during 3 typical training sessions per week for the second half of an American college football season (8 wk). The relationship of pretraining subjective wellness with player load and s-RPE training load was analyzed using linear mixed models with a random intercept for athlete and a random slope for training session. Standardized mean differences (SMDs) denote the effect magnitude.Results:A 1-unit increase in wellnessZscore and energy was associated with trivial 2.3% (90% confidence interval [CI] 0.5, 4.2; SMD 0.12) and 2.6% (90% CI 0.1, 5.2; SMD 0.13) increases in player load, respectively. A 1-unit increase in muscle soreness (players felt less sore) corresponded to a trivial 4.4% (90% CI −8.4, −0.3; SMD −0.05) decrease in s-RPE training load.Conclusion:Measuring pretraining subjective wellness may provide information about players’ capacity to perform in a training session and could be a key determinant of their response to the imposed training demands American college football. Hence, monitoring subjective wellness may aid in the individualization of training prescription in American college football players.

scholarly journals The Relationship Between Isometric and Dynamic Strength in College Football Players

2008 ◽  
Vol 40 (Supplement) ◽  
pp. S390 ◽  
Author(s):  
Arnold G. Nelson ◽  
Michael R. McGuigan ◽  
Jason B. Winchester
Keyword(s):  
Dynamic Strength ◽  
College Football ◽  
Football Players ◽  
The Relationship

Searching for Champions and Finding Enemies

2020 ◽  
pp. 36-68
Author(s):  
Kurt Edward Kemper
Keyword(s):  
Civil War ◽  
College Football ◽  
The Other ◽  
College Basketball ◽  
Rule Changes ◽  
The Creation ◽  
The Relationship

Chapter 2 focuses on the rise of the NAIA, NIT, and NCAA postseason college basketball tournaments and the forces and rivalries that shaped their early identities. Like the civil war between the NCAA, YMCA, and AAU, the relationship between the tournaments took on a hostile, paranoid, and destructive tone. The creation of the NCAA Tournament, the last of the three, was a response to the perception that the other two were encroaching on the NCAA’s domain. And perhaps worse, many within the NCAA saw them as creating a collegiate championship, with attendant profits, outside the NCAA purview, akin to college football bowl games. NCAA partisans saw the other two events as illegitimate and actively worked to undermine or destroy them, even engaging in conspiracy at one point. The creation of the tournaments, along with other innovations and rule changes in the 1930s, helped create big-time commercialized college basketball, on the same trajectory, if not yet the same scale, as big-time college football. However, no sooner had the NCAA created its tournament than it immediately ran into criticisms over how it selected teams, particularly the obvious bias shown to members of the most commercialized conferences that pursued big-time basketball.

Revenue per Quality of College Football Recruit

2020 ◽  
Vol 21 (6) ◽  
pp. 571-592 ◽  
Author(s):  
Stephen A. Bergman ◽  
Trevon D. Logan
Keyword(s):  
Team Performance ◽  
College Football ◽  
Football Players ◽  
Compensation Scheme ◽  
Football Bowl Subdivision ◽  
Data Set ◽  
Unique Data ◽  
Ex Ante ◽  
The Relationship

There is significant debate about compensation of college athletes in revenue generating sports. In college football, the potential heterogeneity in player value has received little attention in the discussion. The relationship between player quality, team performance, and sport-specific revenue should inform any compensation scheme for college football players. In this article, we provide estimates of player monetary value in college football. This is the first study to exploit player-specific ex ante recruit ratings, team performance, and football-specific revenue and profit (revenue net of expenditures) to infer player valuations. This allows us to estimate value for players whose performance can be difficult to measure given traditional sport metrics. We use a unique data set which records individual recruits by ex ante star rating annually for every Football Bowl Subdivision (FBS) school and combine that data with data on team performance, bowl appearances by type, and football-specific revenue. Using a valuation approach which links player-specific quality to team performance and subsequently to revenue, we infer the value of recruits by their ex ante recruit rating. We estimate that five-star recruits increase annual revenue by US$650,000, four-star recruits increase revenue by roughly US$350,000, and three-star recruits increase revenue by US$150,000. Two-star recruits, however, are negatively related to revenue and profit, with two-star athletes reducing annual revenue by US$13,000. Overall, our results imply that player valuations are heterogeneous and that ex ante ratings of player quality are strongly related to school-specific football revenue and profit and may be predictive measures in a compensation scheme.

Assessment of Sprint and Change-of-Direction Performance in College Football Players

2013 ◽  
Vol 8 (2) ◽  
pp. 211-212 ◽  
Author(s):  
Giancarlo Condello ◽  
Kevin Schultz ◽  
Antonio Tessitore
Keyword(s):  
College Football ◽  
Football Players ◽  
Change Of Direction ◽  
Football Game ◽  
The Relationship ◽  
Split Time

The aim of the current study was to investigate the relationship between straight-sprint and change-of-direction performance. Total sprinting time and split time at 5 m were collected from 44 college football players during a 15-m straight sprint (SS15m) and a 15-m zigzag sprint with two 60° changes of direction (COD15m). Differences in sprinting time between COD15m and SS15m and between COD5m and SS5m were expressed as percentage of decrement at 5 m and 15 m (Δ%5m and Δ%15m). Significant and high correlations emerged between SS15m and COD15m (r = .86, P < .0001), SS5m and SS15m (r = .92, P < .0001), SS5m and COD5m (r = .92, P < .0001), and COD5m and COD15m (r = .71, P < .0001). Δ%5m and Δ%15m showed a range of 1.2–30.0% and 34.9–59.4%, respectively. These results suggested how straight-sprint and change-of-direction performance are similar abilities in college football players, in particular when a smaller angle of the change of direction is considered. Moreover, it seems necessary to have athletes undergo tests that mimic the demands of football game, which is characterized by sprint on short distances and with changes of direction.

The Relationship between Recruiting and Team Performance in Division 1A College Football

2003 ◽  
Vol 4 (3) ◽  
pp. 240-245 ◽  
Author(s):  
George Langelett
Keyword(s):  
Team Performance ◽  
College Football ◽  
The Relationship

College Football Success: The Relationship between Recruiting and Winning

2012 ◽  
Vol 7 (1) ◽  
pp. 139-152 ◽  
Author(s):  
Cary A. Caro
Keyword(s):  
College Football ◽  
The Relationship
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