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Football Statistical Analysis Jobs (NOW HIRING)

SumerSports LLC

AI Application Engineer

SumerSports is a leading football intelligence technology company that specializes in providing an ... Combine structured stats, tracking data, and video-derived features into AI-powered applications.

The Pennsylvania State University

$25/hr

... analyze customer feedback for trends and discrepancies * Provide marketing research on service ... In-person hours required for all home Penn State football Saturdays including spring practice plus ...

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Football Statistical Analysis information

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$30K

$70.5K

$117.5K

How much do football statistical analysis jobs pay per year?

As of Aug 7, 2026, the average yearly pay for football statistical analysis in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

How does a football statistical analyst typically collaborate with coaches and players to improve team performance?

Football statistical analysts work closely with coaching staff and players to translate data insights into actionable strategies. They often attend team meetings, provide reports highlighting player and team trends, and suggest adjustments based on data-driven findings. Analysts may also present complex statistics in easily understandable formats, helping coaches make informed decisions about tactics, player selection, and training focus. This collaboration fosters a culture of continuous improvement and evidence-based decision making within the team.

What are the key skills and qualifications needed to thrive as a football statistical analyst?

To thrive as a Football Statistical Analyst, you need a strong background in mathematics, statistics, and data analysis, often supported by a relevant degree in statistics, data science, or sports analytics. Familiarity with data analysis tools such as Python, R, SQL, and sports-specific platforms like Opta or Wyscout is typically required. Excellent attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable analysts to provide actionable insights that inform coaching decisions, player recruitment, and overall team strategy.

What is the difference between Football Statistical Analysis vs Football Data Analyst?

AspectFootball Statistical AnalysisFootball Data Analyst
Required CredentialsDegree in Sports Science, Statistics, or related field; knowledge of data analysis toolsSimilar credentials; often includes certifications in data analysis or sports analytics
Work EnvironmentSports teams, analytics firms, or sports organizationsSports organizations, analytics companies, or media outlets
Employer & Industry UsageUsed primarily within sports teams and analytics firms to improve team performanceApplied across sports media, teams, and analytics services for insights and reporting

Football Statistical Analysis and Football Data Analyst roles share similar educational backgrounds and work environments. Both focus on analyzing football data to support team strategies and performance. However, Football Data Analysts often have a broader scope, including media and reporting, while Football Statistical Analysts may focus more on in-depth statistical modeling within teams or analytics firms.

What is football statistical analysis?

Football statistical analysis is the process of collecting, interpreting, and using data related to football matches, teams, and players to gain insights and improve performance. Analysts use various statistics—such as possession, passes completed, shots on target, and player movements—to inform coaching decisions, tactics, and player recruitment. This analysis can also be used by broadcasters, scouts, and fans to better understand the game and predict future outcomes. The field relies heavily on data science techniques and specialized software tools.
More about Football Statistical Analysis jobs
What job categories do people searching Football Statistical Analysis jobs look for? The top searched job categories for Football Statistical Analysis jobs are:
Football Statistical Analysis jobs near you
Infographic showing various Football Statistical Analysis job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

FIFA World Cup Content Reviewer (San Francisco)

Mercor

San Francisco, CA • On-site

$11 - $17/hr

Part-time

Re-posted yesterday

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: FIFA Football (Soccer) Fan (English & Spanish)
Type: Contract
Compensation: $11–$17/hour
Location: Remote
Commitment: 15 hours/week

Role Responsibilities

  • Rate and vet AI-generated responses related to FIFA World Cup matches, statistics, and player profiles in both English and Spanish.
  • Evaluate the quality and factual correctness of AI-generated content in Spanish, including match results, standings, and player analysis.
  • Identify errors and inaccuracies in AI-generated football content across both languages.
  • Assess bilingual content quality and fluency in English and Spanish.
  • Complete rating tasks related to ongoing World Cup AI-generated content in a timely manner.

Qualifications

Must-Have

  • Passionate football fan with strong FIFA World Cup 2026 knowledge.
  • Fluent in both English and Spanish (reading, writing, and comprehension).
  • Ability to identify factual inaccuracies in AI-generated football content.
  • Availability to commit at least 15 hours per week during the ongoing tournament.

Compensation & Legal

  • Hourly contractor
  • Paid weekly

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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