How to Be Esports Statistician - Job Description, Skills, and Interview Questions

Feb 2, 2021 / 5 Minutes Read / By Albert

How to Become

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Esports has experienced a rapid rise in popularity over recent years. This has been accompanied by an increasing demand for esports statisticians, who are responsible for collecting, analyzing, and interpreting data related to professional esports players and teams. The data collected by esports statisticians is used to inform strategic decisions made by players, teams, and tournament organizers.

As the demand for such data increases, so too does the need for well-trained esports statisticians. With their ability to crunch numbers and interpret data, they can provide valuable insight into a team's performance or strategies, helping to ensure success in tournaments and maximize potential revenue. By providing accurate and up-to-date data, esports statisticians can help drive the growth of the industry, making them key players in the esports ecosystem.

Steps How to Become

Earn a Bachelor's Degree. Obtaining a bachelor's degree in a field related to statistics, such as mathematics, economics, finance, or computer science, can help provide the necessary foundation for a career as an esports statistician.
Gain Experience. Getting experience in esports is an important step on the path to becoming an esports statistician. Experience can be gained through volunteer work, internships, or working for an organization that is affiliated with esports.
Learn About Esports Statistics. To become an esports statistician, it is important to understand how to collect and analyze data related to esports tournaments and players. This includes understanding how to use various software programs and tools, how to interpret data, and how to create reports and charts.
Find a Job. Once you have the necessary education and experience, you can start looking for a job as an esports statistician. Many esports organizations are looking for qualified statisticians, so it is important to keep an eye out for job postings and reach out to potential employers.
Maintain Your Skills. As with any career, it is important to maintain your skills as an esports statistician. This includes staying up-to-date on the latest trends in esports statistics and using the latest tools and software programs. Additionally, networking with other statisticians in the esports industry can help you stay on top of the latest developments.

In order to stay ahead and qualified as an esports statistician, it is important to stay up-to-date on the latest trends in the industry. This means regularly researching and reading up on the latest data, analysis, and news related to the competitive gaming scene. it's important to stay abreast of the newest technologies and software available to help track and analyze esports data.

Furthermore, networking with fellow statisticians and industry professionals can help to ensure that one remains at the top of their field. Finally, attending workshops, seminars, and other professional development opportunities can help sharpen ones skills and knowledge, allowing them to stay ahead of their peers and qualify as a premier esports statistician.

You may want to check Esports Public Relations Specialist, Esports Sponsorship Director, and Esports Lead Developer for alternative.

Job Description

Esports Analyst: Analyze esports data to identify trends, create simulations and develop strategies for teams and players.
Esports Data Scientist: Analyze and interpret vast amounts of esports data to create insights for teams, players, publishers, and sponsors.
Esports Statistician: Design and execute statistical analysis of esports data to assess player and team performance.
Esports Data Engineer: Design, develop, and maintain the infrastructure and data models to support esports analytics initiatives.
Esports Data Visualization Specialist: Create interactive visualizations to summarize and present esports data to stakeholders.
Esports Business Intelligence Manager: Develop business intelligence strategies and processes to drive sales, marketing and operations decisions for esports teams and organizations.
Esports Data Privacy Analyst: Develop and enforce data privacy policies to ensure compliance with data protection laws for esports teams, players, and organizations.
Esports Audience Insights Manager: Gather, analyze, and interpret audience data to create insights for esports teams, players, publishers, and sponsors.

Skills and Competencies to Have

Knowledge of esports game rules and mechanics
Understanding of data collection and analysis methods
Ability to accurately interpret and analyze statistics
Excellent interpersonal and communication skills
Ability to work under pressure and meet deadlines
Knowledge of computer programming languages such as Java, C++, and Python
Experience with database systems such as SQL and Access
Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint)
Familiarity with esports platforms such as Twitch and YouTube
Creative problem-solving and analytical skills

As an esports statistician, having strong analytical and data management skills is essential. Being able to accurately interpret data, identify trends, and create meaningful insights from a wide range of sources is key to success. Being able to quickly interpret and evaluate data from sources such as Twitch, YouTube, and social media can help statisticians measure the success of individual players, teams, and entire leagues.

Good communication skills are also essential in order to present your findings in a clear and persuasive way. Furthermore, having a good understanding of game mechanics can help statisticians identify how to best optimize strategies and make informed decisions. All of these skills combined give esports statisticians the ability to effectively use data to help organizations reach their goals.

Esports Industry Analyst, Esports Referee, and Esports Account Representative are related jobs you may like.

Frequent Interview Questions

What experience do you have in Esports Statistics?
How familiar are you with the various Esports games and their statistical analysis?
What methods do you use to ensure accuracy in the data you collect?
How do you stay up-to-date on the latest trends in Esports Statistics?
What processes do you use to present data in a meaningful way?
How do you analyze and interpret complex Esports data sets?
Have you ever worked with any Esports teams or organizations to collect statistics?
What strategies do you use to identify patterns and trends in Esports data?
What techniques do you use to ensure data security and privacy?
How do you stay organized when managing large amounts of Esports statistical data?

Common Tools in Industry

Tableau. Tableau is a data visualization and analytics platform that helps users to quickly and easily analyze data and create compelling visualizations. (Example: Tableau can be used to visualize esports player performance data over time, such as win-loss ratios, goals scored, and assists. )
Microsoft PowerBI. PowerBI is a business intelligence tool that allows users to easily create interactive dashboards, reports, and visual analytics. (Example: PowerBI can be used to create reports on esports team performance over a given period of time, such as total wins and losses, average kills, and total points. )
R. R is a programming language and software environment for statistical computing and graphics. It can be used to analyze data sets and create statistical models. (Example: R can be used to analyze player performance data in an esports tournament and identify trends in performance over time. )
Google BigQuery. BigQuery is a cloud-based data warehouse that allows users to store, query, and analyze large datasets. (Example: BigQuery can be used to query esports tournament data and generate summaries of player performance or team rankings. )
Kibana. Kibana is an open source data visualization platform that helps users to quickly view, analyze, and explore large datasets. (Example: Kibana can be used to visualize player performance data in an esports tournament, such as average kills per game or total points earned. )

Professional Organizations to Know

Esports Industry Association (EIA)
Esports Integrity Coalition (ESIC)
World Esports Association (WESA)
International e-Sports Federation (IeSF)
Esports Federation of India (ESFI)
Asian Electronic Sports Federation (AESF)
Esports England (EE)
Professional Esports Association (PEA)
Esports League of America (ELA)
Esports Gaming League (EGL)

We also have Esports Lobby Host, Esports Videographer, and Esports Community Manager jobs reports.

Common Important Terms

Data Mining. The process of extracting meaningful and useful insights from large datasets.
Analytics. The use of data and statistical methods to interpret and analyze trends in order to make informed decisions.
Data Visualization. The graphical representation of data using charts, graphs, and other visuals to help interpret and understand the data.
Machine Learning. A subset of artificial intelligence, where algorithms are used to learn from data and make predictions based on patterns in the data.
Data Collection. The process of gathering and organizing data from a variety of sources for analysis.
Reporting. The process of summarizing, presenting, and interpreting data to provide insights into a particular situation.
Metrics. The measurements used to evaluate performance and progress towards a goal.
Forecasting. The use of data and analytics to predict future events or trends.

Frequently Asked Questions

What is an Esports Statistician?

An Esports Statistician is a professional responsible for collecting, analyzing, and presenting data related to competitive video game events.

What types of data do Esports Statisticians analyze?

Esports Statisticians analyze data such as player performance, team strategies, tournament results, and viewer engagement.

What qualifications are needed to become an Esports Statistician?

Qualifications for becoming an Esports Statistician include knowledge of esports and gaming, strong analytical skills, and experience with data analysis software.

How much do Esports Statisticians make?

The salary of an Esports Statistician can vary depending on the company and the level of experience, but the average salary is around $50,000 per year.

What tools do Esports Statisticians use?

Esports Statisticians typically use tools such as spreadsheets, databases, and statistical analysis software to analyze data related to esports events.

Web Resources

Sports Statistician - College of Science - Purdue University www.purdue.edu
How to Become a Sports Statistician | Michigan Tech University onlinedegrees.mtu.edu
What is Esports? - University of Oklahoma www.ou.edu