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Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship

This study explored longitudinal changes in contemporary mixed martial arts (MMA) combat within the Ultimate Fighting Championship (UFC). A secondary aim was to investigate how bout duration influences the contribution of performance indicators on outcome. Data were acquired via the official analyti...

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Autores principales: James, Lachlan P., Sweeting, Alice J., Kelly, Vincent G., Robertson, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861226/
https://www.ncbi.nlm.nih.gov/pubmed/33733118
http://dx.doi.org/10.3389/frai.2019.00029
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author James, Lachlan P.
Sweeting, Alice J.
Kelly, Vincent G.
Robertson, Samuel
author_facet James, Lachlan P.
Sweeting, Alice J.
Kelly, Vincent G.
Robertson, Samuel
author_sort James, Lachlan P.
collection PubMed
description This study explored longitudinal changes in contemporary mixed martial arts (MMA) combat within the Ultimate Fighting Championship (UFC). A secondary aim was to investigate how bout duration influences the contribution of performance indicators on outcome. Data were acquired via the official analytics provider to the UFC (FightMetric). Male fights with a winner from between 2000 and 2015 (n = 2,831) were examined, with 13 common performance indicators attained during each round for each participant along with duration (min) and year of fight. Non-metric dimensional scaling (nMDS) was used to examine bout characteristics by year. The Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was run to determine a set of rules to explain bout outcome. The nMDS displayed that winning bout performance indicator attributes were dissimilar across the years. Eight rules were generated from the RIPPER, with fight duration featuring in three of eight rules. Distinct shifts occurred (albeit without linear trend) in performance indicator characteristics during the observed period. This was characterized by a more diverse combat style in the years following 2008. However, offensive grappling has remained a key factor regardless of year, and is influenced by bout duration.
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spelling pubmed-78612262021-03-16 Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship James, Lachlan P. Sweeting, Alice J. Kelly, Vincent G. Robertson, Samuel Front Artif Intell Artificial Intelligence This study explored longitudinal changes in contemporary mixed martial arts (MMA) combat within the Ultimate Fighting Championship (UFC). A secondary aim was to investigate how bout duration influences the contribution of performance indicators on outcome. Data were acquired via the official analytics provider to the UFC (FightMetric). Male fights with a winner from between 2000 and 2015 (n = 2,831) were examined, with 13 common performance indicators attained during each round for each participant along with duration (min) and year of fight. Non-metric dimensional scaling (nMDS) was used to examine bout characteristics by year. The Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was run to determine a set of rules to explain bout outcome. The nMDS displayed that winning bout performance indicator attributes were dissimilar across the years. Eight rules were generated from the RIPPER, with fight duration featuring in three of eight rules. Distinct shifts occurred (albeit without linear trend) in performance indicator characteristics during the observed period. This was characterized by a more diverse combat style in the years following 2008. However, offensive grappling has remained a key factor regardless of year, and is influenced by bout duration. Frontiers Media S.A. 2019-12-17 /pmc/articles/PMC7861226/ /pubmed/33733118 http://dx.doi.org/10.3389/frai.2019.00029 Text en Copyright © 2019 James, Sweeting, Kelly and Robertson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
James, Lachlan P.
Sweeting, Alice J.
Kelly, Vincent G.
Robertson, Samuel
Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
title Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
title_full Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
title_fullStr Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
title_full_unstemmed Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
title_short Longitudinal Analysis of Tactical Strategy in the Men's Division of the Ultimate Fighting Championship
title_sort longitudinal analysis of tactical strategy in the men's division of the ultimate fighting championship
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861226/
https://www.ncbi.nlm.nih.gov/pubmed/33733118
http://dx.doi.org/10.3389/frai.2019.00029
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