Hiroki

Hiroki Tanioka / 谷岡広樹

Hiroki Tanioka

Club Advisor, Tokushima University Football Club
JFA Official Class C License

Profile

Hiroki Tanioka has served as club advisor to the Tokushima University Football Club since April 2024 and is involved in university football activities.

At Tokushima University, he specializes in machine learning, data analysis, image recognition, object tracking, and sports data analytics, and conducts applied research in sports, including football.

In relation to football, he has playing experience, a JFA official coaching license, experience as an advisor to a university football club, and research achievements and presentations related to football schools, player location estimation, video analysis, tactical analysis, and sports statistics.

His main areas of interest include:

Application of data science to football
Player behavior analysis, location estimation, and video analysis
Coaching and player development support using AI and data analysis

Coaching Experience

Item	Description
Role	Club Advisor, Tokushima University Football Club
Appointment	April 2024
Team	Tokushima University Football Club
Affiliation	Shikoku University Football League Division 2, JUFA-Shikoku
	Tokushima Prefectural Soccer League Division 1, Tokushima Football Association
Target category	Class 1 / General and university
License	JFA Official Class C License

Qualifications

Qualification	Date Issued
JFA Official Kids Leader	October 13, 2015
JFA Official Class D License	March 23, 2016
JFA Official Class C License	July 26, 2017
Certified Workshop Designer, Master Level	March 16, 2021

He is currently registered as a holder of the JFA Official Class C License.
He also holds the Kids Leader additional license.

Football Playing Experience

Period	Team	Major Achievement
April 1981 – March 1986	Muya SC	Runner-up, 1984 West Japan Youth Football Tournament
April 1989 – March 1992	Naruto High School Football Club
April 1998 – March 2001	BREZZA FC, Tokushima Prefecture Adult League Division 3

He has played football from elementary-school age through adulthood.
He currently works as a researcher, educator, and JFA-licensed coach, focusing on the use of data, player behavior analysis, and coaching support in football settings.

His main football-related research themes include player behavior analysis using data science, analysis of educational effects in football schools, object detection and tracking using video analysis, and tactical analysis support.

In joint research with Tokushima Vortis Co., Ltd., he worked on analyses related to enjoyment, physical activity, ball involvement, and coaching improvement in football schools.

Peer-Reviewed Journal Papers and International Conference Papers

Hiroki Tanioka, Mitsuhiro Sato, Ryuji Tsuge.
Questionnaire Analysis and Causal Discovery on Enjoyment in a Soccer School
IPSJ Journal of Digital Practices, Vol.4, No.3, pp.74–87, 2023.
URL / PDF
Hiroki Tanioka, Mitsuhiro Sato, Ryuji Tsuge.
Correlation Analysis between Impressions of Soccer School and Moving Speed in Elementary School Children
Information Engineering Express, Vol.9, No.2, 2023.
DOI / URL / Repository
Hiroki Tanioka, Mitsuhiro Sato, Ryuji Tsuge.
Analyze the Enjoyment of Soccer School in the Elementary School Age
IIAI Letters on Informatics and Interdisciplinary Research, Vol.1, pp.1–11, 2022.
DOI / URL / Repository
Stephen Githinji Karungaru, Hiroki Tanioka, Kenji Matsuura.
Soccer Players Real Location Determination Using Perspective Transformation
Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS&ISIS 2022, pp.1–4, 2022.
DOI
Stephen Githinji Karungaru, Kenji Matsuura, Hiroki Tanioka, Naoya Kohda, Naka Gotoda, Tomohito Wada.
Towards Drone-Video Player Detection and Tracking for Soccer Strategy Analysis
Proceedings of the 6th IEEJ International Workshop on Sensing, Actuation, Motion Control, and Optimization, TT-1, pp.1–6, 2020.
J-STAGE
Hiroki Tanioka.
Data and AI Utilization in Sports Analytics
Transactions of Japanese Society for Information and Systems in Education, Vol.37, No.3, pp.192–197, 2020.
DOI / J-STAGE

Japanese Society of Science and Football

Hiroki Tanioka, Mitsuhiro Sato, Ryuji Tsuge.
Analysis of Enjoyment in Football Schools for Elementary-School-Age Children
Japanese Society of Science and Football Congress 19, March 2022.
Tokushima University Educator and Researcher Directory
Hiroki Taniokal, Miyuki Morimoto news.
Analysis of plays that lead to scoring by correlation — Correlation Analysis of 2019 J1 League Stats Data —
Japanese Society of Science and Football Congress 18, March 2021.
Tokushima University Educator and Researcher Directory

Sports Data Science Competition

Hiroki Tanioka, Ryota Kohri.
Analysis of Offensive and Defensive Strength in the J1 League Using Regression Analysis
Workshop on Theory and Cases in Sports Data Analysis, Vol.8, 2021.
KAKEN / Program
Hiroki Tanioka, Kaoru Kimura, Shu Yano.
Analysis of Scoring Opportunities Using Logistic Regression
Workshop on Theory and Cases in Sports Data Analysis / 8th Sports Data Analysis Competition, 2018.
Program
Masatoshi Morii, Hiroki Tanioka.
What Attacking Patterns Lead to Goals? — Goal Prediction Using Deep Learning
Workshop on Theory and Cases in Sports Data Analysis, Vol.5, 2018.
Tokushima University Educator and Researcher Directory

Research and Coaching Interests

Football and Data Science

Football requires not only technique, physical ability, and tactics, but also observation, decision-making, cooperation, and persistence.
Matches and training sessions contain a wide range of information, including player movement, decision-making, positioning, relationships among players, and transitions between attack and defense.

By applying image analysis, location estimation, multi-object tracking, statistical analysis, and machine learning, he aims to visualize such information and organize it into forms that can be used in practical coaching and team activities.

Student-Led Team Activities

At the Tokushima University Football Club, he values the process in which students identify issues by themselves, share them with teammates, and work together toward improvement.
As an advisor, he supports students in managing the team independently while improving both competitive performance and personal growth.

Connecting Playing Experience, Coaching Qualifications, and Research

He aims to contribute to university football by combining his own football playing experience, JFA official coaching qualification, and research experience in sports data analytics.
In particular, he works to support each player in expanding their own potential by applying knowledge from AI and data science.

Activity Policy

The Tokushima University Football Club values students’ ability to think, make decisions, and act independently.
The club aims not only to pursue victory as a competitive sports team, but also to provide a place where students can grow together with their teammates during university life.

The main activity policies are as follows:

Respect student-led team management
Pursue both competitive improvement and personal growth
Develop observation, decision-making, and cooperation through football
Use data and video to support reflection and improvement
Support an environment where students can continue taking on challenges throughout university life

Message

Through activities at the Tokushima University Football Club, I hope students will gain experiences that lead not only to improved performance, but also to personal growth.

Football is a sport in which players think together with teammates, take on challenges, learn from failure, and stand up again.
I will support the team so that university football becomes an opportunity for each student to grow significantly, both as a player and as a person.

By also making use of knowledge from data science and AI, I will support team activities so that each player can expand their own potential.