Abstract:Grounded in the dynamical systems approach, the present research examined the influence of team ball possession (TBP) in soccer on coaches’ perceived psychological momentum (PM) and strategic choice (i.e., game-based “stick” vs. “switch” choices) during a simulated match. Experienced soccer coaches imagined being the coach of the team involved in a highly important match that was displayed on a wall in a lecture hall. The match scenario was manipulated so that the coach was exposed to either a positive momentu… Show more
“…In addition, further research is needed in order to analyse the role of emotional regulation and impulsivity (e.g., Millán-Sánchez, et a., 2023) in basketball, because of its possible association with the concept of momentum. And more broadly, studies in basketball should deepen into identify factors that could trigger momentum (see Briki & Zoudji, 2019) Sometimes, even in the sport science literature "hot hand" is also identified with "gaining momentum" (e.g., Iso-Ahola & Dotson, 2016), so some confusion may arise in defining the concepts. We have employed the term "player momentum between games" to clearly differentiate it from the concepts of "team momentum" and "hot hand".…”
The existence of streaks in basketball has been studied for teams (team momentum) and players (hot hand/player momentum) using disparate methods and reaching some conflicting results. However, recent empirical research shows these types of streaks are real and not an artifact of perception. In this research, we analyze a form of player streak that has not been considered before player momentum between games. Using a sample of 39 players and 3483 games of the 2016/17 and 2017/18 NBA regular seasons, we studied the distribution of points scored per minute focusing on both tails of this distribution for each player, i.e., extremely high, and extremely low performance within the same season. Results suggest that there is a certain trend reflecting momentum (for both good and bad performances), but this outcome is influenced by the usage percentage. The trend is to jump back to around 60-70% of the distribution of scores after a very good game and to jump forward to around 30-40% of the distribution of scores after a very bad game. Implications for decision-making are discussed at the end.
La existencia de rachas en baloncesto ha sido estudiada en equipos (momentum del equipo) y jugadores (mano caliente/momentum del jugador), utilizando diferentes métodos y alcanzando resultados contradictorios. Sin embargo, investigación empírica reciente muestra que este tipo de fenómenos de rachas son reales y no un sesgo de la percepción. En esta investigación se analiza una forma de rachas de juego para el jugador que hasta ahora no había sido considerada: el momentum del jugador entre partidos. Empleando una muestra de 39 jugadores y 3483 partidos de las temporadas 2016/17 y 2017/18 en la NBA, se analiza los puntos anotados por minuto en situaciones de muy alto y también muy bajo rendimiento. Los resultados sugieren que hay una cierta tendencia que refleja el momentum, tanto para buenos como para malos rendimientos, pero ese resultado está influenciado por el porcentaje de uso del jugador, es decir, su capacidad para acaparar juego. La tendencia es ir hacia atrás (en torno a un 60-70%) en la distribución de anotaciones tras un partido muy bueno, y de ir hacia delante (en torno a un 30-40%) en la distribución de anotaciones tras un partido muy malo. Las implicaciones para la toma de decisiones son discutidas finalmente.
A existência de sequências no basquetebol têm sido estudadas em equipas (momentum da equipa) e jogadores (mão quente/momentum do jogador), utilizando diferentes métodos e chegando a resultados contraditórios. No entanto, estudos empíricos recentes evidenciaram que esse tipo de fenômeno é real e não um viés de percepção. Este estudo analisou uma forma de sequência de jogo para o jogador que até então não havia sido considerada: o ímpeto do jogador entre as partidas. Para tal, participaram neste estudo 39 jogadores e 3483 jogos das temporadas 2016/17 e 2017/18 da NBA, e foram analisados os pontos marcados por minuto em situações de alto e baixo desempenho. Os resultados sugerem que existe uma certa tendência que reflete o momentum, tanto para as boas como para as más exibições, mas esse resultado é influenciado pela percentagem de aproveitamento do jogador, ou seja, a sua capacidade de dominar o jogo. As implicações para a tomada de decisão são finalmente discutidas.
“…In addition, further research is needed in order to analyse the role of emotional regulation and impulsivity (e.g., Millán-Sánchez, et a., 2023) in basketball, because of its possible association with the concept of momentum. And more broadly, studies in basketball should deepen into identify factors that could trigger momentum (see Briki & Zoudji, 2019) Sometimes, even in the sport science literature "hot hand" is also identified with "gaining momentum" (e.g., Iso-Ahola & Dotson, 2016), so some confusion may arise in defining the concepts. We have employed the term "player momentum between games" to clearly differentiate it from the concepts of "team momentum" and "hot hand".…”
The existence of streaks in basketball has been studied for teams (team momentum) and players (hot hand/player momentum) using disparate methods and reaching some conflicting results. However, recent empirical research shows these types of streaks are real and not an artifact of perception. In this research, we analyze a form of player streak that has not been considered before player momentum between games. Using a sample of 39 players and 3483 games of the 2016/17 and 2017/18 NBA regular seasons, we studied the distribution of points scored per minute focusing on both tails of this distribution for each player, i.e., extremely high, and extremely low performance within the same season. Results suggest that there is a certain trend reflecting momentum (for both good and bad performances), but this outcome is influenced by the usage percentage. The trend is to jump back to around 60-70% of the distribution of scores after a very good game and to jump forward to around 30-40% of the distribution of scores after a very bad game. Implications for decision-making are discussed at the end.
La existencia de rachas en baloncesto ha sido estudiada en equipos (momentum del equipo) y jugadores (mano caliente/momentum del jugador), utilizando diferentes métodos y alcanzando resultados contradictorios. Sin embargo, investigación empírica reciente muestra que este tipo de fenómenos de rachas son reales y no un sesgo de la percepción. En esta investigación se analiza una forma de rachas de juego para el jugador que hasta ahora no había sido considerada: el momentum del jugador entre partidos. Empleando una muestra de 39 jugadores y 3483 partidos de las temporadas 2016/17 y 2017/18 en la NBA, se analiza los puntos anotados por minuto en situaciones de muy alto y también muy bajo rendimiento. Los resultados sugieren que hay una cierta tendencia que refleja el momentum, tanto para buenos como para malos rendimientos, pero ese resultado está influenciado por el porcentaje de uso del jugador, es decir, su capacidad para acaparar juego. La tendencia es ir hacia atrás (en torno a un 60-70%) en la distribución de anotaciones tras un partido muy bueno, y de ir hacia delante (en torno a un 30-40%) en la distribución de anotaciones tras un partido muy malo. Las implicaciones para la toma de decisiones son discutidas finalmente.
A existência de sequências no basquetebol têm sido estudadas em equipas (momentum da equipa) e jogadores (mão quente/momentum do jogador), utilizando diferentes métodos e chegando a resultados contraditórios. No entanto, estudos empíricos recentes evidenciaram que esse tipo de fenômeno é real e não um viés de percepção. Este estudo analisou uma forma de sequência de jogo para o jogador que até então não havia sido considerada: o ímpeto do jogador entre as partidas. Para tal, participaram neste estudo 39 jogadores e 3483 jogos das temporadas 2016/17 e 2017/18 da NBA, e foram analisados os pontos marcados por minuto em situações de alto e baixo desempenho. Os resultados sugerem que existe uma certa tendência que reflete o momentum, tanto para as boas como para as más exibições, mas esse resultado é influenciado pela percentagem de aproveitamento do jogador, ou seja, a sua capacidade de dominar o jogo. As implicações para a tomada de decisão são finalmente discutidas.
Probability is an important indicator reflecting risk and uncertainty. Probability estimation has trend effect and this will affect decision-making. This paper describes two manifestations of the trend effect of probability estimation: (1) the tendency of the revised probability estimation (the probability estimation changes at different time points), and (2) single-bound probability (the estimated expression higher or lower than the upper or lower bound of a certain probability interval)-and reveals its impact on an individual's judgments, decision-making behaviors, and irrational decision deviations. Based on the theoretical perspective of psychological momentum, we propose an integrated model to explore the probability estimation's trend effect to trigger the psychological momentum experience, leading to subsequent decision behaviors. Future research can focus on three areas. (1) Probability estimation's trend effect when there are multiple information sources. (2) The interaction between dynamic trend effect and static probability estimation. (3) The trend effect of revised probability estimation in risk communication.
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