Using machine learning pipeline to predict entry into the attack zone in football

Leandro Stival; Allan Pinto; Felipe dos Santos Pinto de Andrade; Paulo Roberto Pereira Santiago; Henrik Biermann; Ricardo da Silva Torres; Ulisses Dias

doi:10.1371/journal.pone.0265372

Using machine learning pipeline to predict entry into the attack zone in football

Leandro Stival
, Allan Pinto
, Felipe dos Santos Pinto de Andrade
, Paulo Roberto Pereira Santiago
, Henrik Biermann
, Ricardo da Silva Torres
, Ulisses Dias

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e0265372
Journal	PloS one
Volume	18
Issue number	1 January
DOIs	https://doi.org/10.1371/journal.pone.0265372
State	Published - Jan 2023
Externally published	Yes

ASJC Scopus Subject Areas

General

Access to Document

10.1371/journal.pone.0265372

Cite this

@article{eca4f3ddf31e46ef92f1d13b03a392bf,

title = "Using machine learning pipeline to predict entry into the attack zone in football",

author = "Leandro Stival and Allan Pinto and Andrade, \{Felipe dos Santos Pinto de\} and Santiago, \{Paulo Roberto Pereira\} and Henrik Biermann and Torres, \{Ricardo da Silva\} and Ulisses Dias",

note = "Publisher Copyright: {\textcopyright} 2023 Stival et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

year = "2023",

month = jan,

doi = "10.1371/journal.pone.0265372",

language = "English",

volume = "18",

journal = "PloS one",

issn = "1932-6203",

number = "1 January",

}

TY - JOUR

T1 - Using machine learning pipeline to predict entry into the attack zone in football

AU - Stival, Leandro

AU - Pinto, Allan

AU - Andrade, Felipe dos Santos Pinto de

AU - Santiago, Paulo Roberto Pereira

AU - Biermann, Henrik

AU - Torres, Ricardo da Silva

AU - Dias, Ulisses

N1 - Publisher Copyright: © 2023 Stival et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2023/1

Y1 - 2023/1

UR - https://www.scopus.com/pages/publications/85146531974

UR - https://www.scopus.com/pages/publications/85146531974#tab=citedBy

U2 - 10.1371/journal.pone.0265372

DO - 10.1371/journal.pone.0265372

M3 - Article

C2 - 36652409

AN - SCOPUS:85146531974

SN - 1932-6203

VL - 18

JO - PloS one

JF - PloS one

IS - 1 January

M1 - e0265372

ER -

Using machine learning pipeline to predict entry into the attack zone in football

ASJC Scopus Subject Areas

Access to Document

Other files and links

Cite this