Selected Goal – Scoring Characteristics in the National Hockey League

Summary The variables impacting the efficiency of the offensive phase of the game in ice hockey may be determining factor for both the training process and game strategies. The research aimed to acquire and expand the knowledge about selected goal-scoring characteristics in the National Hockey League. A total of 511 even-strength goals were recorded in 129 randomly selected games in a regular-season 2020/2021 by indirect observation. Goals were differentiated by selected variable dimensions: location of the offensive team’s puck possession gain before scoring a goal, game situation preceding a goal, and the number of passes of the offensive team preceding a goal. Data were analyzed by performing a one–way ANOVA. Post hoc multiple comparisons were performed using the Tukey HSD test. The significance level of p ≤ 0.05 was used. Significant differences were found within all variable dimensions (p= 0.00001). In terms of the puck possession gain location, zone 1 (along the boards in the offensive zone) was the zone with the significantly highest mean score (p= 0.00305). Offensive zone play was significantly the game situation preceding most of the goals (p= 0.00000). The interval of the passes that preceded most of the recorded goals was the interval of 1 – 2 passes (p= 0.00000). Acquired results point out the dominance of particular variables and may help coaches to determine the content of the training process and game strategies. Based on the assumption of the realization of similar research in different environments in terms of the quality and age category, if the analogy would be found between the results of the present study and the results of potential studies, we can state the trends applicable to youth training.

The absence of fans removes the home advantage associated with penalties called by National Hockey League referees

The COVID-19 pandemic has had a major impact on professional sports, notably, forcing the National Hockey League to hold its 2020 playoffs in empty arenas. This provided an unprecedented opportunity to study how crowds may influence penalties awarded by referees in an ecological context. Using data from playoff games played during the COVID-19 pandemic and the previous 5 years (n = 547), we estimate the number of penalties called by referees depending on whether or not spectators were present. The results show an interaction between a team’s status (home; away) and the presence or absence of crowds. Post-hoc analyses reveal that referees awarded significantly more penalties to the away team compared to the home team when there is a crowd present. However, when there are no spectators, the number of penalties awarded to the away and home teams are not significantly different. In order to generalize these results, we took advantage of the extension of the pandemic and the unusual game setting it provided to observe the behavior of referees during the 2020–2021 regular season. Again, using data from the National Hockey League (n = 1639), but also expanding our sample to include Canadian Hockey League games (n = 1709), we also find that the advantage given to the home team by referees when in front of a crowd fades in the absence of spectators. These findings provide new evidence suggesting that social pressure does have an impact on referees’ decision-making, thus contributing to explain the phenomenon of home advantage in professional ice hockey.

An Analysis of Usage of a Multi-Criteria Approach in an Athlete Evaluation: An Evidence of NHL Attackers

The presented research focuses on the commonly used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which is applied to an evaluation of a basic set of 581 national hockey league (NHL) players in the 2018/2019 season. This is used in combination with a number of objective methods for weighting indicators for identifying differences in their usage. A total of 11 indicators with their own testimonial values, including points, hits, blocked shots and more, are selected for this purpose. The selection of a method for weighting indicators has a major influence on the results obtained and the differences between them, and maintains the internal links within the ranked set of players. Of the evaluated methods, we prefer the Mean Weight method, and we recommend that the input indicators be considered equivalent when evaluating athletes.

Winning and losing streaks in the National Hockey League: are teams experiencing momentum or are games a sequence of random events?

The Saint Louis Blues were hot at the end of the 2018–2019 National Hockey League season, winning eleven games in a row in January and February, and eight of their last ten. They parlayed this momentum to their first Stanley Cup Championship in franchise history. Or did they? Did the series of wins at the end of the season give the Blues the momentum needed to reach the pinnacle of the sport on June 12th, or was the Blues’ path to victory the confluence of a series of random events that fell in their favor? In this paper we apply entropy as an unbiased measure to further refute the idea of momentum in sports. We show that game outcomes are not dependent on previous games’ outcomes and conclude that the theory of momentum, across the season, is a fallacy that should not affect behavior.

294 Impacts of travel and time zone differences in the National Hockey League (NHL)

Introduction Elite athletes are at risk of poor sleep which can be exacerbated by frequent travel. The present exploratory study investigated the impact of travel on the winning percentage, number of goals scored in the 3rd period and the number of penalties in the 3rd period over the 2013–2020 seasons in the National Hockey League (NHL). Methods Data from away and home games from the 2013–2020 seasons in the NHL were included in this study. The outcomes were based on winning percentage with additional covariates including home and away games; timing of the game (afternoon/17:30 or earlier; evening/18:00 or later; number of time zones travelled (one, two or three); direction of the travel (eastward or westward); length of the game (regular, overtime or shootout). Additionally, data exclusively from the 3rd period were assessed for the number of penalties received and the number of goals scored for and against. Data were analyzed with logistic regressions to evaluate the effects of the aforementioned variables on winning percentage for both eastern and western conference teams. Results Regardless of the length of the game, results indicated no difference between eastern and western teams on winning percentage. However, there was a significant impact of home-ice on winning percentage for both conferences (p<0.001). In addition, there was no difference on the winning percentage based on the travel direction and the number of time zones crossed (p = 0.747) or the time of the day (p=0.991). Moreover, visiting teams received significantly more 3rd period penalties than home teams (p<0.001), regardless of travel and while travelling within the same time zone compared to eastward travel (p<0.001) but not westward travel (p=0.078). Finally, there was an increased risk of being scored against when team travelled three time zones (p=0.03), regardless of the direction. Conclusion This 7-year investigation of data from the NHL demonstrates an unexplored aspect of the impact that travel and circadian factors may have on emotion regulation and performance. Translational application of this knowledge to enhance general public health and performance would be warranted. Support (if any):

Professional Sports and Crime: Do Professional Hockey Games Increase City-Level Crime Rates?

Previous research has found that sports games increase certain crimes including theft and vandalism, but the relationship between sports and other offenses such as motor vehicle theft, robbery, and assaults is mixed. Using regular season National Hockey League (NHL) game data and city-level, incident-level crime data from four large U.S. cities, this paper estimates if professional ice hockey games played at home is associated with increases in property crimes, alcohol-related crimes, and assaults during and right after games the over course of four NHL seasons. Results show that NHL games lead to small but significant increases in property crimes and assaults. There is no significant effect for alcohol-related crimes. Implications and suggestions for future work are discussed.

Game Spacing and Density in Relation to the Risk of Injuries in the National Hockey League

Background: Ice hockey has significant workload demands. Research of other sports has suggested that decreased rest between games as well as an increased workload may increase the risk of injuries. Purpose: To evaluate whether condensed game schedules increase the frequency and severity of injuries in the National Hockey League (NHL). Study Design: Descriptive epidemiology study. Methods: Data were obtained from publicly available online sources on game schedules and injuries for all NHL teams for the 2005-2006 through 2018-2019 seasons. Injury rates (per team per game) and the proportion of severe and nonsevere injuries were determined. The game-spacing analysis assessed the risk of injuries in relation to the number of days between games played (range, 0-≥6 days). The game-density analysis assessed the risk of injuries in relation to the number of games played within 7 days (range, 1-5 games). Results were assessed by analysis of variance, the post hoc Tukey test, and the chi-square test of distribution. Results: The game-spacing analysis included 33,170 games and 7224 injuries, and a significant group difference was found ( P = 1.44×10–5), with the post hoc test demonstrating an increased risk of injuries when games were spaced with <1 day of rest. There was no significant difference in the ratio of severe to nonsevere injuries. The game-density analysis included 33,592 games and 10,752 injuries, and a significant group difference was found ( P = 8.22×10–48), demonstrating an increased risk of injuries with an increased number of games in all conditions except for the comparison between 4 versus 5 games in 7 days. There was also a significant difference in injury severity ( P = .008), indicating that the least dense condition had a higher ratio of severe to nonsevere injuries compared with the other game-density conditions. Finally, the game-density analysis was repeated after excluding games played with <1 day of rest, and the finding of increased injury rates with increasingly condensed schedules remained significant ( P = 9.52×10–46), with significant differences between all groups except for the comparison between 1 versus 2 games in 7 days. Conclusion: We found that a condensed schedule and <1 day of rest between games were associated with an increased rate of injuries in the NHL. These findings may help in the design of future game schedules.