This spreadsheet contains anonymised force plate data for the following tests: countermovement jump, countermovement-rebound jump, and isometric mid-thigh pull.Following a dynamic warm-up, three trials of each of these tests were performed bilaterally and with maximum-effort by male B Team football players (Under 23s) from two English League One Football Clubs at the beginning of the 2023-24 football pre-season period. The tests were performed in a randomised order with around 30-60 seconds of rest between trials and at least 3-5 minutes of rest given between tests.The data were collected on Hawkin Dynamics force plates and analysed by their software. Here is the link to the Hawkin Dynamics metric database that explains how each metric included in the spreadsheet was measured: https://www.hawkindynamics.com/hawkin-metric-databaseEthics approval was granted from the author's institution and informed consent was provided by each player for their anonymised data to be uploaded to this repository for research use.

Global Football Market size was valued at USD 4.04 billion in 2022 and is poised to grow from USD 4.19 billion in 2023 to USD 5.65 billion by 2031, growing at a CAGR of 3.79% in the forecast period (2024-2031).

This data set provides data related to measuring consumer behavior in the context of sports marketing among football fans in the Indonesia Premier League. The survey was conducted online using a Google form with a Likert scale. Questions in the questionnaire include marketing variables represented by brand commitment (12 questions), brand trust (4 questions), brand satisfaction (8 questions), brand loyalty (3 questions), and brand attachment (4 questions). The survey was conducted in June–September 2022. A total of 258 football fans across Indonesia were selected using non-probability sampling techniques. Survey data is analyzed using structural equation modeling (SEM) using Smart PLS software to identify estimates of primary construction relationships in the data. The data can help football club managers and business operators in the field of football sports map and plan marketing strategies for organizational development and gain valuable economic benefits. There are three attachments: 1. Analysis of Smart PLS data (this data shows the results of data analysis in the Smart-PLS output format that is exported to Microsoft Excel) 2. Questionnaire: "Sports Marketing in Indonesia: Football Fans" (This data contains the distribution of questionnaire questions to respondents in Microsoft Excel.) 3. Data in Brief: Sports Marketing in Indonesia Soccer Fans_revision This data contains the results of the questionnaire's completion by respondents. Authors replace province-based clusters to facilitate data encoding and reading and avoid multiple interpretations of domicile location in homepage data. The research data was collected using an online survey questionnaire, using a likerts scale of 1-5 accessible through https://forms.gle/Ask9YzAnhKx6yy9. WhatsApp was used to distribute questionnaires to respondents because it is the 3rd largest WhatsApp user in the world [2] with the largest number of football fans reaching 69% [1], as well as considering the effectiveness of research coverage where the Indonesian region consists of diversity. The questions in the questionnaire use Indonesian to facilitate the understanding of respondents in filling out the questionnaire. The English questionnaire is provided as an additional file. The total sample in the study amounted to 258 respondents from various club fans who had their membership status verified by the club's fan leader chairman. Researchers designed survey instruments using research designs based on previous research [1]. Part A of the survey asks about the sociodemographic profile of respondents, including name (optional), gender, occupation, and place of residence. Meanwhile, part B contains questions to measure consumer behavior variables namely commitment, trust, satisfaction, loyalty, and attachment in the context of sports marketing. as shown in Table 1.

This spreadsheet contains anonymised peak force and relative peak force data obtained by a force plate system for the isometric knee flexor tests performed with 30 and 90 degrees of knee flexion and the kneeling isometric plantar flexor test. The sample is professional English football league players who completed in League 2 (4th tier) or National League (5th tier) at the time of testing. All together, four football clubs participated in the testing (1 League 2 and 3 National League) to provide a combined sample of 91 players. Following a dynamic warm-up, three trials of each of these tests were performed unilaterally and with maximum-effort at the beginning of the pre-season training period (2023-24 season). The tests were performed in a randomised order with around 30-60 seconds of rest between trials and at least 3-5 minutes of rest given between tests. Only the mean value across the three trials performed are presented in this spreadsheet. The data were collected on Hawkin Dynamics force plates and analysed by their software. Here is the link to the Hawkin Dynamics metric database that explains how each metric included in the spreadsheet was measured: https://www.hawkindynamics.com/hawkin-metric-databaseEthics approval was granted from the author's institution and informed consent was provided by each player for their anonymised data to be uploaded to this repository for research use.

This data set contains representation information on women coaches and administrators from selected sport organisations and boards in the sports of athletics, basketball, football (soccer) and swimming. Data collection was based on annual snapshots taken in July/August of 2010 and 2011. The data was newly created / collated in Excel or PDF format, being sourced from individual internet websites belonging to Australian / international sports organisations and governing boards. Data was entered as total count for the number of people, in a given position, for each gender. The names of the individuals were not recorded. This research is related to 'sport psychology', 'sport management', 'leadership' and 'gender equity'. "Leadership" here encompasses coaches, administrators (both of sport organisations and their governing boards) and officials (referees, judges, etc.). "Elite sport" here refers to competition at the state/territory level or higher, through to international competition. Project Organization Unit: School of Sport and Exercise Science, Victoria University