Predicting Round and Game Winners in CSGO

Win probabilities have become a staple on scoreboards in physical sports such as baseball and basketball. Esports, or competitive video games with sponsored teams and major audiences, typically lack this detailed statistical analysis, beyond bare-bones metrics and commentator intuition. However, the advantage of esports in their tendency to have a central record of every game event makes them ripe for statistical analysis through machine learning. Previous research has covered popular video game genres such as MOBAs, and has found success in predicting game winners most of the time [1]. Counterstrike: Global Offensive (CSGO) is an esport that is unique in its round and game-based nature, allowing researchers to examine how short and long-term decisions can interplay in competitive environments. We introduce a dataset of CSGO games To assess factors such as player purchasing decisions and individual scores, we introduce 3 round and game win probability models. Finally, we evaluate the performances of the models. We successfully predict winners in the majority of cases, better than the map average baseline win statistics.

Pre-Eminent or Subordinate? An Organisational Environment Perspective on the EU’s Security Cooperation with asean and ecowas

Security cooperation with other regional organisations (ros) has long been a facet of EU foreign policy. The EU’s relationships with the Association of Southeast Asian Nations (asean) and the Economic Community of West African States (ecowas) illustrate the variety of the EU’s engagement. In West Africa, the EU is a pre-eminent actor, occasionally dictating an agenda and marginalising ecowas. In Southeast Asia, the EU remains subordinate, facing an uphill battle for relevance in the security sphere and a closer relationship to asean. Prevailing explanations focus on the EU’s internal characteristics or bilateral cooperation dynamics, but fail to fully explain this discrepancy. Based on new interview information, this article argues that the organisational environment also affects the EU’s security cooperation with asean and ecowas. The presence of competitive environments limits the EU’s role in security cooperation and relegates it to a subordinate role. In the absence of competition, the EU is allowed to become pre-eminent.

Socio-economic Aspects of Energy and Climate Change in South Africa

Appreciating energy and electricity as cornerstones of socio-economic growth and development, this chapter deals with a variety of concepts and factors to demonstrate the evolution of the role of energy in the South African economy and the population’s living standards. The chapter also discusses historically the various types of transition of the energy sector since the country’s first connection to electricity. The importance of energy as a factor of production and a medium of wealth is profound in the analysis. Also, the findings show that the transitions in the South African energy sector have gone through different natures: demographics of the users, sectoral transitions, regional ones until the one the sector has been undergoing since 2018 that combines a market transition (from monopolistic towards competitive environments) with a fuel transition (from a fossil-fuel-dominated system towards a cleaner, renewable mix).

Bodily awareness during skilled action

Prominent theories of skill acquisition posit that the performing body is absent during ‘habitualized’ or well-learned action. This chapter challenges this position by arguing that the body is never forgotten during skilled movement. Instead, it possesses what might be termed an enduring presence. Drawing on Colombetti’s (2011) taxonomy of the bodily self, the chapter shows how skilled performers may experience either a reflective or pre-reflective mode of bodily awareness depending on what they attend to during online skill execution. It proposes that while the body is always lived through as the subject of experience, performers will often have little choice but to take the body as the intentional object of their awareness. The chapter concludes by arguing that it is the dynamic interplay of various forms of bodily awareness that facilitates optimal performance and allows skilled performers to confront the challenges (e.g. injury, performance slumps) that are a ubiquitous feature of competitive environments.

Characterizing human random-sequence generation in competitive and non-competitive environments using Lempel–Ziv complexity

The human ability for random-sequence generation (RSG) is limited but improves in a competitive game environment with feedback. However, it remains unclear how random people can be during games and whether RSG during games can improve when explicitly informing people that they must be as random as possible to win the game. Nor is it known whether any such improvement in RSG transfers outside the game environment. To investigate this, we designed a pre/post intervention paradigm around a Rock-Paper-Scissors game followed by a questionnaire. During the game, we manipulated participants’ level of awareness of the computer’s strategy; they were either (a) not informed of the computer’s algorithm or (b) explicitly informed that the computer used patterns in their choice history against them, so they must be maximally random to win. Using a compressibility metric of randomness, our results demonstrate that human RSG can reach levels statistically indistinguishable from computer pseudo-random generators in a competitive-game setting. However, our results also suggest that human RSG cannot be further improved by explicitly informing participants that they need to be random to win. In addition, the higher RSG in the game setting does not transfer outside the game environment. Furthermore, we found that the underrepresentation of long repetitions of the same entry in the series explains up to 29% of the variability in human RSG, and we discuss what might make up the variance left unexplained.

Characterizing human random-sequence generation in competitive and non-competitive environments using Lempel-Ziv complexity

The human ability for random-sequence generation (RSG) is limited but improves in a competitive game environment with feedback. However, it remains unclear how random people can be during games and whether RSG during games can improve when explicitly informing people that they must be as random as possible to win the game. Nor is it known whether any such improvement in RSG transfers outside the game environment. To investigate this, we designed a pre/post intervention paradigm around a Rock-Paper-Scissors game followed by a questionnaire. During the game, we manipulated participants’ level of awareness of the computer’s strategy; they were either (a) not informed of the computer’s algorithm or (b) explicitly informed that the computer used patterns in their choice history against them, so they must be maximally random to win. Using a compressibility metric of randomness, our results demonstrate that human RSG can reach levels statistically indistinguishable from computer pseudo- random generators in a competitive-game setting. However, our results also suggest that human RSG cannot be further improved by explicitly informing participants that they need to be random to win. In addition, the higher RSG in the game setting does not transfer outside the game environment. Furthermore, we found that the underrepresentation of long repetitions of the same entry in the series explains up to 29% of the variability in human RSG, and we discuss what might make up the variance left unexplained.

Gender Differences in the Psychology of Competition

Drawing primarily on the literature in experimental economics and social psychology, this article reviews key findings on gender differences for two aspects of competitiveness and competition: entry preferences and performance. Although women, relative to men, have been shown to shy away from competition and underperform in competitive environments, this article also discusses boundary conditions for these effects, such as the nature of the task or gender composition of the group, and highlights manifestations of these effects in applied domains, including in negotiations, the labor market, educational settings, and sports. Adopting social psychological frameworks of prescriptive norms and stereotypes, particularly social role theory, this article examines ways in which gender-incongruencies may underpin gender gaps in competition and gender-congruencies may alleviate them. Finally, this article considers implications for individuals and institutions as well as future directions in the field to continue finding ways to close gaps.

Badminton stroke identification using wireless inertial sensor and neural network

Objective evaluation is essential in sports to monitor athlete performance, provide relevant and timely feedback, and minimize the risk of injury. Activity recognition is the first step in sport skill and technique performance analysis. This study investigated the use of wearable inertial sensors and a neural network (NN) to identify badminton strokes. The study also explored the effect of different NN configurations and a different number of sensors on the classification. Sensors were placed at the dominant wrist, left ankle, and right ankle. Six different strokes, ranging from soft hitting net shots to smashes, were performed with a total of 3300 repetitions from six well-trained badminton players. An automated window segmentation method was developed to identify the stroke instances. A scaled conjugate gradient training algorithm with two hidden layers and 55 neurons in each layer was found to be the best approach to classify badminton strokes with an accuracy of 97.69%. Even just wearing the inertial sensor on the wrist was sufficient, providing an accuracy of 95.09%. These results demonstrate the viability of using inertial sensors and NN to recognize badminton strokes, which can be applied in training and competitive environments.

Apomixis and genetic background affect distinct traits in Hieracium pilosella L. grown under competition

Background Apomixis, the asexual reproduction through seeds, occurs in over 40 plant families and avoids the hidden cost of sex. Apomictic plants are thought to have an advantage in sparse populations and when colonizing new areas but may have a disadvantage in changing environments because they propagate via fixed genotypes. In this study, we separated the influences of different genetic backgrounds (potentially reflecting local adaptation) from those of the mode of reproduction, i.e., sexual vs. apomictic, on nine fitness-related traits in Hieracium pilosella L. We aimed to test whether apomixis per se may provide a fitness advantage in different competitive environments in a common garden setting. Results To separate the effects of genetic background from those of reproductive mode, we generated five families of apomictic and sexual full siblings by crossing two paternal with four maternal parents. Under competition, apomictic plants showed reproductive assurance (probability of seeding, fertility), while offspring of sexual plants with the same genetic background had a higher germination rate. Sexual plants grew better (biomass) than apomictic plants in the presence of grass as a competitor but apomictic plants spread further vegetatively (maximum stolon length) when their competitors were sexual plants of the same species. Furthermore, genetic background as represented by the five full-sibling families influenced maximum stolon length, the number of seeds, and total fitness. Under competition with grass, genetic background influenced fecundity, the number of seeds, and germination rate. Conclusions Our results suggest that both the mode of reproduction as well as the genetic background affect the success of H. pilosella in competitive environments. Total fitness, the most relevant trait for adaptation, was only affected by the genetic background. However, we also show for the first time that apomixis per se has effects on fitness-related traits that are not confounded by—and thus independent of—the genetic background.