A comparative analysis of Hungarian football, handball and ice hockey game officials’ concussion recognition ability

2019 ◽  
Vol 23 (3) ◽  
pp. 193-207
Author(s):  
Attila Nagy ◽  
◽  
Csaba Kiss ◽  
Bálint Dolnegó ◽  
László Tóth ◽  
...  
2013 ◽  
Vol 20 (6) ◽  
pp. 408-412 ◽  
Author(s):  
Luc J.M. Mortelmans ◽  
Jacques Populaire ◽  
Didier Desruelles ◽  
Marc B. Sabbe

1981 ◽  
Vol 3 (3) ◽  
pp. 217-227 ◽  
Author(s):  
Gordon W. Russell

Mood scales were administered to spectators attending an especially violent ice hockey game (n = 117) and a relatively nonviolent game (n = 159). Subjects completed the scales either prior to the opening face-off, during the first or second period intermissions, or immediately following the match. The between-subjects design revealed an increase in spectator hostility accompanied by a quadratic arousal function for the violent game. The relationship between hostility (and arousal) and the period of play was best described by an inverted-U function. Arousal decreased at the nonviolent match. Other mood states were largely unaffected by the two games. The results were discussed with reference to three models of spectator moods in which outcome is featured as a major variable.


2018 ◽  
Vol 35 (3) ◽  
pp. 261-267 ◽  
Author(s):  
Franck Brocherie ◽  
Olivier Girard ◽  
Gregoire P. Millet

2011 ◽  
Vol 36 (1) ◽  
pp. 145-152 ◽  
Author(s):  
Heather M. Logan-Sprenger ◽  
Matthew S. Palmer ◽  
Lawrence L. Spriet

Research in many sports suggests that losing ∼2% of body mass (BM) through sweating impairs athletic performance, although this has not been tested in ice hockey players. This study investigated pregame hydration, and on-ice sweat loss, fluid intake, and sodium (Na+) balance of elite male junior players during an ice hockey game. Twenty-four players (2 goalies, 7 defensemen, 15 forwards) volunteered to participate in the study (age, 18.3 ± 0.3 years; weight, 86.5 ±1.6 kg; height, 184.1 ± 1.3 cm). Players were weighed pre- and postgame, fluid and sodium intake were monitored throughout the game, and fluid and Na+ balance were determined within the time between BM measurements. Sweat Na+ loss was calculated based on sweat loss and sweat [Na+] determined from sweat-patch analysis on the same players during an intense practice. Players arrived at the rink in a euhydrated state and drank 0.6 ± 0.1 L of fluid before the game. Mean playing time for the forwards was 18:85 ± 1:15 min:s and playing time for the defense was 24:00 ± 2:46 min:s. Sweat loss was 3.2 ± 0.2 L and exceeded net fluid intake (2.1 ± 0.1 L). Mean BM loss was 1.3% ± 0.3%, with 8/24 players losing between 1.8% to 4.3% BM. Players preferred to drink water and a carbohydrate electrolyte solution before the game and during intermissions, while only water was consumed during each period. Practice mean forehead sweat [Na+] was 74 mmol·L–1. Estimated sweat Na+ losses of 3.1 ± 0.4 g (∼8 g NaCl) coupled with low Na+ intake of 0.8 ± 0.2 g (∼2 g NaCl) resulted in a significant Na+ deficit by the end of the game. This study demonstrated that despite abundant opportunities to hydrate during a hockey game, one-third of the players did not drink enough fluid to prevent sweat losses of 2% BM or higher. Losing 2% BM has been associated with decreases in athletic performance.


2016 ◽  
Vol 15 (04) ◽  
pp. 763-789 ◽  
Author(s):  
Wei Gu ◽  
Thomas L. Saaty ◽  
Rozann Whitaker

This paper describes an expert system to predict National Hockey League (NHL) game outcome. A new method based on both data and judgments is used to estimate the hockey game performance. There are many facts and judgments that could influence an outcome. We employed the support vector machine to determine the importance of these factors before we incorporate them into the prediction system. Our system combines data and judgments and used them to predict the win–lose outcome of all the 89 post-season games before they took place. The accuracy of our prediction with the combined factors was 77.5%. This is to date the best accuracy reported of hockey games prediction.


2016 ◽  
Vol 30 (1) ◽  
pp. 176-183 ◽  
Author(s):  
Arkadiusz J. Stanula ◽  
Tomasz T. Gabryś ◽  
Robert K. Roczniok ◽  
Urszula B. Szmatlan-Gabryś ◽  
Mariusz J. Ozimek ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document