Alfonso Gutiérrez-Santiago

Dr. Alfonso Gutiérrez-Santiago

Observational Research Group, Faculty of Education and Sport, University of Vigo, 36005 Pontevedra, Spain
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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 August 2011 in Journal of Sports Sciences
Verified
Journal Article
Closed access
Alfonso Gutiérrez-SantiagoAlfonso Gutiérrez-Santiago
Alfonso Gutiérrez-Santiago
Iván Prieto-LageIván Prieto-Lage
Iván Prieto-Lage
OCOleguer Camerino
Oleguer Camerino
MAM. Teresa Anguera
M. Teresa Anguera
The aim of this study was to determine the temporal structure of judo bouts in visually impaired men and women (n = 117 judokas in the senior category; 92 men and 25 women). We developed a data recording system based on the temporal parameters of judo and applied it to a broad sample of international bouts (n = 219; 184 between men and 35 between women). The descriptive analysis of frequency of occurrence revealed that most of the bouts ended before the time-up bell sounded (81% men/74% women). Other defining features are shown in the following mean values (for men/women): the total bout time was 266/242 s; the total time paused was 158/172 s; the total time spent in standing combat was 82/54 s (P = 0.008), while that of floor combat was 60/84 s (P = 0.021); each bout had 6.9/5.7 paused sequences with a duration of 19.6/21.1 s, and 12.4/11.7 active sequences with a duration of 22/19.7 s. The sequential analysis by means of T-patterns (THEME) confirmed that the temporal structure of judo is not the same for men and women, thereby highlighting the need for a range of training methods matched to the needs of visually impaired competitors.

1 January 2014 in Gait & Posture
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Journal Article
Closed access
CACarlos Ayán
Carlos Ayán
José Mª Cancela CarralJosé Mª Cancela Carral
José Mª Cancela Carral
Alfonso Gutiérrez-SantiagoAlfonso Gutiérrez-Santiago
Alfonso Gutiérrez-Santiago
Iván Prieto-LageIván Prieto-Lage
Iván Prieto-Lage

1 April 2020 in Physiology & Behavior
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Journal Article
Closed access
Alfonso Gutiérrez-SantiagoAlfonso Gutiérrez-Santiago
Alfonso Gutiérrez-Santiago
RPR. Pereira-Rodríguez
R. Pereira-Rodríguez
Iván Prieto-LageIván Prieto-Lage
Iván Prieto-Lage

1 February 2012 in Parkinsonism & Related Disorders
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Journal Article
Closed access
José Mª Cancela CarralJosé Mª Cancela Carral
José Mª Cancela Carral
CAC. Ayán
C. Ayán
Alfonso Gutiérrez-SantiagoAlfonso Gutiérrez-Santiago
Alfonso Gutiérrez-Santiago
Iván Prieto-LageIván Prieto-Lage
Iván Prieto-Lage
SVSilvia Varela
Silvia Varela

1 January 2013 in Archives of Gerontology and Geriatrics
Verified
Journal Article
Closed access
CACarlos Ayán
Carlos Ayán
José Mª Cancela CarralJosé Mª Cancela Carral
José Mª Cancela Carral
Alfonso Gutiérrez-SantiagoAlfonso Gutiérrez-Santiago
Alfonso Gutiérrez-Santiago
Iván Prieto-LageIván Prieto-Lage
Iván Prieto-Lage

28 September 2023 in PLOS ONE
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Journal Article
Open access
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Iván Prieto-LageIván Prieto-Lage
Iván Prieto-Lage
APAdrián Paramés-González
Adrián Paramés-González
DTDaniel Torres-Santos
Daniel Torres-Santos
JAJuan Carlos Argibay-González
Juan Carlos Argibay-González
XRXoana Reguera-López-De-La-Osa
Xoana Reguera-López-De-La-Osa
Alfonso Gutiérrez-SantiagoAlfonso Gutiérrez-Santiago
Alfonso Gutiérrez-Santiago
Notational analysis and new technologies have allowed a better understanding of tactical actions in tennis. In particular, the combined analysis of different variables affecting performance is necessary to understand the relationships between actions in competition. The aim of this research was to analyse the probability of winning a point in men’s professional tennis based on the most relevant variables affecting performance in this sport. A total of 4,669 points were analysed on three different court surfaces from the final rounds (from the quarter-finals onwards) of three of the four Grand Slam tournaments in the 2021 season. An observational methodology was applied. Different analysis techniques were used to obtain the results: descriptive and chi-square with a significance level of p<0.05. First serve effectiveness (point won) was 69% on clay, 75% on grass and 75% on hard court. Second serve effectiveness (point won) was around 55% regardless of the surface. The majority of points, between 65% and 77% depending on the court surface, ended with a short rally (between one and four shots). Approximately 80% of the points played with first serve and short rally were won by the serving player. With first serve and medium length rallies, the probability of winning the point is similar between server (range 49–55%) and receiver on any court surface. The study reveals a set of patterns (based on the combination of information from the variables analysed) that determine the probability of winning a point. Descriptive data from this research could help coaches and players on match strategy at the highest levels of elite men’s single tennis.