NFL is one of the most popular sports in the world. Many of us are stat geeks who understanding not what just happened but also who and why. This NFL dataset provides a comprehensive view of NFL games, statistics, participation, and much more. The dataset includes NFL play data from 2004 to the present.

This NFL dataset provides play-by-play data from the 2004 to 2019 seasons. Dataset also includes play and participation information for players, coaches, and game officials. Additional data tables included in this file includes NFL Draft from 1989 to present, NFL Combine 1999 to present, NFL rosters from 1998 to present, NFL schedules, stadium information and much more. The granularity of NFL statistics varies by NFL season. The current version of NFL statistics has been collected since 2012. All information sources used to create this dataset are from publically accessible websites and the NFL GSIS dataset.

All information sources used to create this dataset are from publically accessible websites and NFL documentation. Although my current life is focused on data science, this project has a special place in my heart, since it links my previous profession in the NFL with my current passion for data analysis.

Dataset

This dataset was created by doshij

Contents

The average length of a player's career in the National Football League (NFL) is relatively short, with the average career lasting around 3.3 years. The league is considered one of the most physically demanding sports leagues in the world, with players regularly exposed to hard hits and collisions. This leads to a high risk of injury, and many players are forced to retire early or miss significant time due to injuries. Additionally, the NFL is highly competitive, with a large pool of talented players who are eager to take the place of those who are injured or no longer able to perform at a high level.

Injuries are all too common in the NFL Injuries are a common and significant concern in the NFL. Due to the physical nature of the sport, players are at risk of a wide range of injuries, including both acute injuries such as broken bones and concussions, as well as chronic injuries such as joint and muscle problems. Concussions and other head injuries are also a major concern in the NFL. Football players are at a higher risk of concussions than athletes in other sports, due to the nature of the game and the fact that players are often hit in the head. Concussions can lead to a variety of long-term health problems, including chronic traumatic encephalopathy (CTE), a progressive degenerative disease of the brain that is linked to repeated head trauma.

Preventative measures The NFL has implemented some measures to try to reduce the number and severity of injuries, such as rule changes to reduce the number of hits to the head, better equipment, and more stringent return-to-play protocols after an injury. The NFL also funds research on injuries and works with medical experts to develop best practices for preventing and treating injuries. However, many fans still believe that more can be done to improve player welfare and prioritize player safety over entertainment and revenues.

Life after football When a player decides to retire, they have several options available to them. Many players transition to a different career, while others may choose to pursue other interests or spend time with their families. Some of the common career paths that retired NFL players pursue include broadcasting, coaching, business, philanthropy, politics, sports management, continuing education, and personal training or fitness coaching.

The NFL also offers several retirement benefits for players, such as pension plan, disability and death benefits, and health insurance for players, and their families. The NFL Players Association also provides assistance and support for players as they transition out of football and into new careers.

In 2023, the greatest share of players by ethnic group in the National Football League (NFL) were black or African American athletes, constituting just over ** percent of players within the NFL. Despite the large population of Hispanic or Latino people within the United States, there is a substantial underrepresentation within the NFL, with only *** percent of players identifying as such. National Football League The National Football League (NFL) is a professional American football league that was established in 1920 and now consists of 32 clubs divided into two conferences, the National Football Conference (NFC) and the American Football Conference (AFC). The league culminates in the Super Bowl, the NFL's annual championship game. As the league’s championship game, the Super Bowl has grown into one of the world's largest single-day sporting events, attracting high television ratings and generating billions of dollars in consumer spending. NFL revenues The NFL is one of the most profitable sports leagues in the world, generating a staggering **** billion U.S. dollars in 2022. This total revenue of all ** NFL teams has constantly increased over the past 15 years and, although this figure dropped significantly in 2020, this was largely as a result of the impact of coronavirus (COVID-19) containment measures. This significant drop in revenue demonstrates one of the primary impacts of COVID-19 on professional sports leagues. NFL franchises As a result of this profitability in non-pandemic times, the franchises of the NFL are attributed extremely high market values. The Dallas Cowboys were by far the most valuable franchise in the NFL, with a market value of **** billion US dollars in 2023. The high value of NFL franchises can be seen clearly when compared to those of the NBA, MLB, and NHL. Franchises within the NFL had an average market value of approximately *** billion U.S. dollars in 2023.

This is a collection of datasets used for research in the field of Temporal Networks

We have first used these datasets in the following publication:

O.Kostakis, N.Tatti, A.Gionis, "Discovering recurrent activity in temporal networks", Data Mining and Knowledge Discovery, Special Issue in Sports Analytics, 2016.

In summary, this collection contains three different datasets. The first is data about all matches in the 1996-'97 English Premier League. The second dataset contains a temporal network corresponding to team-passing activity of a handball team. Finally, the third dataset contains play-by-play information for 1101 basketball matches of the 2014-'15 NBA season. Within each folder, you will find a separate README file for each dataset.

Disclaimer:

We do not claim to have produced or own the data. We do not claim the correctness of the data.

We provide the data only for reasons related to Research, including but not limited to research reproducibility.

During the 2023/24 season, the Baltimore Ravens had the highest player payroll among the 32 teams competing in the National Football League (NFL). The team had a payroll amounting to approximately *** million U.S. dollars. By comparison, the two NFL teams with the lowest player payroll during the 2023/24 season were the Los Angeles Rams and the Indianapolis Colts at *** million U.S. dollars. What is the average ticket price for a Los Angeles Rams game? The average ticket price for a Los Angeles Rams home game was around *** U.S. dollars in the 2023 season. During that period, the Los Angeles Rams recorded an average home attendance of ****** spectators. The Los Angeles Rams average regular season home attendance peaked in 2016 at ******. What NFL team has the highest franchise value? Even though the Dallas Cowboys have neither won nor competed in a Super Bowl since 1996, the team is still by far the most valuable franchise in the NFL. In 2024, the Cowboys has a franchise value of **** billion U.S. dollars; this was over *** billion U.S. dollars more than its closest rival, the Los Angeles Rams. Meanwhile, the New England Patriots had the third-highest franchise value that year at *** billion.

Dataset Card for football-player-segmentation

This dataset is specifically designed for computer vision tasks related to player detection and segmentation in foot goalkeeperders, and forwards, captured from various angles and distances.

This is a FiftyOne dataset with 512 samples.

  Installation

If you haven't already, install FiftyOne: pip install -U fiftyone

  Usage

import fiftyone as fo import fiftyone.utils.huggingface as fouh

Load the dataset

… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Football-Player-Segmentation.

NFL passing statistics since 2001. Contains record of every player who attempted a pass within the time period. Tracked metrics include passing yards, passing touchdowns, pass attempts, completions, interceptions, and touchdown/interception/completion percentages. More advanced metrics like yards per attempt, adjusted net yards per attempt, and other similar metrics are also included. I used this dataset, accompanied with the NFL Rushing Statistics dataset to predict the NFL MVP winner in 2024.

NFL Injury Analysis 2012-2017

NFL Injuries 2012-2017: Yearly, injury type, scenario, and season type data

By Throwback Thursday [source]

About this dataset

This dataset provides comprehensive information on injuries that occurred in the National Football League (NFL) during the period from 2012 to 2017. The dataset includes details such as the type of injury sustained by players, the specific situation or event that led to the injury, and the type of season (regular season or playoffs) during which each injury occurred.

The Injury Type column categorizes the various types of injuries suffered by players, providing insights into specific anatomical areas or specific conditions. For example, it may include injuries like concussions, ankle sprains, knee ligament tears, shoulder dislocations, and many others.

The Scenario column offers further granularity by describing the specific situation or event that caused each injury. It can provide context about whether an injury happened during a tackle, collision with another player or object on field (such as goalposts), blocking maneuvers gone wrong, falls to the ground resulting from being off-balance while making plays, and other possible scenarios leading to player harm.

The Season Type column classifies when exactly each injury occurred within a particular year. It differentiates between regular season games and playoff matches – identifying whether an incident took place during high-stakes postseason competition or routine games throughout the regular season.

The Injuries column represents numeric data detailing how many times a particular combination of year-injury type-scenario-season type has occurred within this dataset's timeframe – measuring both occurrence frequency and severity for each unique combination.

Overall, this extensive dataset provides valuable insight into NFL injuries over a six-year span. By understanding which types of injuries are most prevalent under certain scenarios and during different seasons of play - such as regular seasons versus playoffs - stakeholders within professional football can identify potential areas for improvement in safety measures and develop strategies aimed at reducing player harm on-field

How to use the dataset

The dataset contains six columns:

• Year: This column represents the year in which the injury occurred. It allows you to filter and analyze data based on specific years.

• Injury Type: This column indicates the specific type of injury sustained by players. It includes various categories such as concussions, fractures, sprains, strains, etc.

• Scenario: The scenario column describes the situation or event that led to each injury. It provides context for understanding how injuries occur during football games.

• Season Type: This column categorizes injuries based on whether they occurred during regular season games or playoff games.

• Injuries: The number of injuries recorded for each specific combination of year, injury type, scenario, and season type is mentioned in this column's numeric values.

Using this dataset effectively involves several steps:

• Data Exploration: Start by examining all available columns carefully and making note of their meanings and data types (categorical or numeric).

• Filtering Data by Year or Season Type: If you are interested in analyzing injuries during a particular year(s) or specific seasons (regular vs playoffs), apply filters accordingly using either one or both these columns respectively.

3a. Analyzing Injury Types: To gain insights into different types of reported injuries over time periods specified by your filters (e.g., a given year), group data based on Injury Type and calculate aggregate statistics like maximum occurrences or average frequency across years/seaso

3b.Scenario-based Analysis:/frequency across years/seasons. Group the data based on Scenario and calculate aggregate values to determine which situations or events lead to more injuries.

• Exploring Injury Trends: Explore the overall trend of injuries throughout the 2012-2017 period to identify any significant patterns, spikes, or declines in injury occurrence.

• Visualizing Data: Utilize appropriate visualization techniques such as bar graphs, line charts, or pie charts to present your findings effectively. These visualizations will help you communicate your analysis concisely and provide clear insights into both common injuries and specific scenarios.

• Drawing Conclusions: Based on your analysis of the

Research Ideas

• Understanding trends in NFL injuries: This dataset can be used to analyze the number and types of in...

In the National Football League, the total offensive yards refers to the number of yards progressed by a team while they are either rushing or passing towards the opponent's goal line. In the 2023 season, the average offensive yards made by all teams in the NFL amounted to 219 passing yards and 113 rushing yards per game.

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US American Football Equipment Market Size 2025-2029

The US american football equipment market size is forecast to increase by USD 312.4 million at a CAGR of 5% between 2024 and 2029.

American Football Equipment Market is experiencing significant growth, driven by the increasing participation of youth and the growing number of women in the sport. According to recent statistics, over 11 million children in the US play organized football, representing a 2% annual growth rate. Additionally, the National Football League (NFL) reports that over 30,000 female athletes participate in American football leagues, a number that has more than doubled in the last decade. However, the market faces challenges, primarily due to concerns over player safety, specifically concussions. The fear of long-term health risks associated with repeated head trauma has led to increased scrutiny and regulations.
As a result, equipment manufacturers are investing in research and development of advanced protective gear to mitigate these risks and ensure player safety. Companies that can effectively address this challenge while maintaining affordability and performance will have a competitive edge in the market. Overall, the American Football Equipment Market presents significant opportunities for growth, particularly in the areas of youth and women's leagues, as well as innovative safety solutions. Companies seeking to capitalize on these opportunities must stay abreast of market trends and regulations while prioritizing player safety and performance.

What will be the size of the US American Football Equipment Market during the forecast period?

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American football equipment market encompasses a range of products, including shin guards, biometric data devices, strength training equipment, and agility gear. Social media marketing and influencer partnerships are increasingly important for brands to reach consumers. Custom fit and personalized gear cater to the growing demand for comfort and performance. Rib protection, neck protection, and head protection prioritize player safety, while e-commerce platforms facilitate convenient purchasing. Sustainable materials, such as biodegradable and recycled materials, are gaining traction due to consumer safety concerns and environmental awareness. Performance analysis tools, including virtual and augmented reality, help athletes optimize their training.
Product lifecycle management ensures quality control and intellectual property protection. Sports technology innovations, like return-to-play protocols, concussion management systems, and impact testing equipment, enhance player safety and improve overall performance. Conditioning programs and training aids are essential for athletes to excel in their sport. Artificial intelligence and mobile apps streamline operations and provide valuable insights for teams and individuals. Market dynamics include the evolving role of brand partnerships, patent protection, and the integration of biometric data into equipment design. The football equipment market continues to evolve, driven by consumer preferences, technological advancements, and regulatory requirements.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Protective gear
  Helmets
  Cleats
  Balls
  Training equipment


End-user

  Amateur
  Professional Athletes
  Collegiate Players
  High School Players
  Recreational Players


Retail Channel

  Specialty and sports shops
  Department and discount stores
  Online retail


Material

  Polycarbonate
  Foam
  Leather
  Synthetic Fabrics


Geography

  North America

    US

By Product Insights

The protective gear segment is estimated to witness significant growth during the forecast period.

Protective gear, a significant segment in the American football equipment market, accounts for the largest revenue share. This category encompasses essential items such as cups and athletic supporters, elbow sleeves and arm pads, gloves, girdles, hip, knee, thigh, and tail pads, mouth guards, neck rolls, shoulder pads, and rib protectors. The NFL and high school football leagues, governed by the National Federation of State High School Associations (NFHS), mandate the use of specific protective gear for players. Compliance with these regulations ensures a baseline level of safety and drives demand for essential protective equipment. The NFL's rule mandating the use of leg and thigh pads, implemented in 2013, further boosts the growth of protective gear and equipment in American football.

Customer preferences prioritize performance enhancement and injury prevention, leading to continuous innovation in protective gear technology.

American Football Balls Market Outlook

As per our latest research, the global American Football Balls market size reached USD 685 million in 2024, reflecting the sport’s enduring popularity and expanding reach worldwide. The market is expected to grow at a CAGR of 4.1% during the forecast period, with the market size projected to reach USD 972 million by 2033. This growth is primarily driven by increasing participation in American football at both amateur and professional levels, rising investments in sports infrastructure, and growing global interest in the sport beyond its traditional strongholds.

One of the key growth factors propelling the American Football Balls market is the rising participation in organized sports, particularly in schools, colleges, and community leagues. The increasing emphasis on physical education and extracurricular activities in educational institutions has led to a significant surge in demand for quality sports equipment, including footballs. Additionally, the proliferation of youth leagues and grassroots programs, especially in North America and parts of Europe, has further driven the need for a diverse range of football balls tailored to different age groups and skill levels. This trend is complemented by the growing influence of American football in emerging markets, where the sport is being actively promoted as part of sports development initiatives.

Technological advancements and innovations in manufacturing processes have also played a pivotal role in the growth of the American Football Balls market. Manufacturers are increasingly focusing on developing products with enhanced durability, better grip, and superior aerodynamics, catering to the evolving needs of both amateur and professional players. The adoption of advanced materials such as high-grade leather, composites, and synthetic rubbers has improved product quality, resulting in longer-lasting and more reliable footballs. Furthermore, the integration of branding and customization options has opened new avenues for market expansion, as teams, schools, and organizations seek personalized solutions to reinforce their identity and foster team spirit.

Another significant driver of market growth is the robust promotional ecosystem surrounding American football. Major leagues such as the NFL, along with collegiate and high school competitions, generate immense media attention and fan engagement, fueling the demand for official and replica footballs. Sponsorships, celebrity endorsements, and the growing popularity of televised and digital broadcasts have significantly contributed to the sport’s visibility, encouraging more people to participate and purchase related equipment. The increasing trend of home-based training and recreational play, particularly during off-seasons or in regions with limited access to formal training facilities, has further bolstered market growth.

From a regional perspective, North America continues to dominate the American Football Balls market, accounting for the largest share in terms of both value and volume. The United States, in particular, remains the epicenter of the sport, with a well-established infrastructure, strong institutional support, and a vast consumer base. However, Europe and Asia Pacific are emerging as promising markets, driven by growing awareness, rising disposable incomes, and strategic efforts by sports organizations to popularize American football. The Middle East & Africa and Latin America are also witnessing gradual growth, supported by increasing investments in sports development and the rising influence of international sports media. As the market continues to evolve, regional dynamics will play a crucial role in shaping future growth trajectories.

Product Type Analysis

The American Football Balls market is segmented by product type into Leather Footballs, Composite Footballs, Rubber Footballs, and Others. Leather footballs have long been regarded as the gold standard in the industry, particularly for professiona

The online football games market is experiencing robust growth, driven by the increasing popularity of esports, advancements in mobile gaming technology, and the global appeal of football. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. The free-to-play model's accessibility broadens the player base significantly, while the pay-to-play segment contributes substantial revenue through in-app purchases and premium content. Mobile platforms dominate the market share due to their widespread accessibility and convenience, though PC and console gaming maintain a significant presence, particularly among hardcore gamers. Technological advancements, such as improved graphics and immersive gameplay, further enhance the user experience, driving market expansion. Geographic expansion, particularly in rapidly developing Asian markets like China and India, also contributes significantly to the market's overall growth. Competitive rivalry among established players like Electronic Arts, Konami, Tencent, and newer entrants is intense, leading to continuous innovation in game design and features. However, challenges such as market saturation in certain regions and the need for consistent content updates to maintain player engagement pose potential restraints. The market segmentation shows a clear preference for mobile platforms, but growth in PC and console segments is expected as gaming technology advances and hardware becomes more accessible. The future of the online football games market appears bright, with the potential for continued expansion driven by technological innovation, strategic partnerships, and the unwavering global passion for football. The market's diverse revenue streams, combined with a large and engaged player base, position it for sustained and significant growth over the forecast period.

Here are a few use cases for this project:

1. Sports Analytics and Strategy: The model can be used by football teams and coaches to perform advanced sports analytics. For instance, analysts can track player's positions in real time, study their movements and strategies, observe the ball's trajectory, and examine how the goalkeeper is performing, which can offer useful insights to enhance their game strategy.

2. Video Game Development: Gaming companies can use this model to create more realistic football video games. By learning how different classes behave in a real football match, the model can help generate AI players that perform in a more human-like manner.

3. Automated Referee Assistance: The model can be implemented to assist referees in making the right decisions by tracking players' and ball's position, spotting potential fouls, offsides or even identifying who touched the ball last before it went out of play.

4. Sports Broadcast Enhancement: Broadcasting or streaming services can use the model to provide real-time statistics or visual presentations to their viewers, for example the number of successful saves by a goalkeeper, player possession statistics, or real-time player highlighting.

5. Training and Scouting: Football academies can use this model to track and analyze the performance of players during training. For scouts, the AI can help identify potential talent by providing objective data about each player's performance.

Using play-by-play data from the very beginning of the professional football league in Turkey, a semi-Markov model is presented for describing the performance of football teams. The official match results of the selected teams during 55 football seasons are used and winning, drawing and losing are considered as Markov states. The semi-Markov model is constructed with transition rates inferred from the official match results. The duration between the last match of a season and the very first match of the following season is much longer than any other duration during the season. Therefore these values are considered as missing values and estimated by using expectation–maximization algorithm. The effect of the sojourn time in a state to the performance of a team is discussed as well as mean sojourn times after losing/winning are estimated. The limiting probabilities of winning, drawing and losing are calculated. Some insights about the performance of the selected teams are presented.

Online Football Games Market Outlook

In 2023, the global online football games market size was valued at approximately USD 1.8 billion and is projected to reach around USD 4.5 billion by 2032, growing at a CAGR of 10.6% during the forecast period. The primary drivers for this growth include advancements in gaming technology, increased internet penetration, and the rising popularity of football as a sport worldwide.

One of the primary growth factors for the online football games market is the continuous advancements in gaming technology. The evolution of graphics, artificial intelligence, and virtual reality in gaming has significantly enhanced the user experience, making online football games more immersive and engaging. These technological advancements have not only attracted hardcore gamers but have also expanded the market to include casual players. As game developers continue to innovate and release new features, the appeal of online football games is expected to grow, driving market expansion.

Another key growth factor is the increasing penetration of the internet and the proliferation of smartphones. With more people gaining access to high-speed internet and affordable smartphones, the accessibility of online football games has improved dramatically. This has particularly impacted emerging markets in Asia Pacific and Latin America, where mobile gaming is witnessing exponential growth. The convenience of playing these games on-the-go has also contributed to their popularity, making them a favored pastime for many.

The growing popularity of football as a sport globally has also played a crucial role in the expansion of the online football games market. Football has a massive following, with millions of fans worldwide actively engaging with the sport through various media. This enthusiasm translates into a considerable user base for football-themed video games. Major football events, such as the FIFA World Cup and UEFA Champions League, further amplify interest in football games, boosting market demand during these events.

Regional analysis shows that North America and Europe are currently leading the market, owing to their established gaming industries and high disposable incomes. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. The burgeoning middle class, increasing internet penetration, and rising popularity of mobile gaming in countries like China and India are driving this growth. Latin America and the Middle East & Africa are also showing promising potential, supported by a growing number of gamers and improving digital infrastructure.

Game Type Analysis

The online football games market can be segmented by game type into simulation, arcade, management, and others. Simulation games dominate this segment, as they offer a highly realistic gaming experience that appeals to football enthusiasts. These games often feature advanced graphics, real-time physics, and licensed teams and players, which add to their authenticity. Examples of popular simulation games include FIFA and Pro Evolution Soccer (PES). The demand for simulation games is expected to remain strong, driven by continuous technological advancements and high levels of fan engagement.

Arcade football games, on the other hand, offer a more casual and fast-paced gaming experience. These games are typically easier to play and often include exaggerated physics and simplified controls. While they may not offer the same level of realism as simulation games, their accessibility makes them popular among casual gamers and younger audiences. Titles like Rocket League have carved out a niche in this segment, combining football mechanics with car racing elements to create a unique gaming experience.

Management games focus on the strategic and managerial aspects of football. These games allow players to take on the role of a football club manager, making decisions about team formation, player transfers, and financial management. Football Manager is a leading title in this segment, known for its in-depth and realistic simulation of football management. The appeal of management games lies in their complexity and the sense of control they offer, attracting players who enjoy strategic planning and decision-making.

The 'others' category includes various unconventional football games that do not fit neatly into the aforementioned segments. These could range from football-themed puzzles to innovative hybrids that combine football with other genres. While this se

The average per game attendance during the 2024 NFL regular season was at 69,520. The Dallas Cowboys had the highest average attendance of all the 32 NFL teams, averaging 92,972 for their nine regular-season home games in 2024. Cowboys in a league of their own Since moving to AT&T Stadium in 2009, the Dallas Cowboys have led the NFL in average regular-season home attendance for over a decade. During that time, the Cowboys have averaged more than 90,000 per home game, well above the league average of around 69,000. At the other end of the rankings, the Chicago Bears had the lowest average regular-season home attendance in 2024. Touchdown in London for the NFL Regular-season NFL games have been played every year in London since 2007, and the attendances for these games are included in the figures for the designated home teams. The NFL London games have been a huge success: attendance of over 60,000 was achieved for all the games held in 2024. Since the games in London started in 2007, all 32 franchises playing in the NFL have played in the UK's capital, with the Green Bay Packers being the last franchise to play there for the first time in 2022.

Overview

• Introduction
• Object Classes
  • Football
  • Player

Introduction

This dataset is designed to facilitate the detection of objects in football match images. The two main classes are:

• Football: The ball used in play.
• Player: Individuals participating in the game, including referees.

Object Classes

Football

Description

The football is a spherical object, typically small and distinctive from the players and field. It may be found on the grass or in the air during active play.

Instructions

• Position: Locate the spherical object identifiable as the football, present on the field or in the air.
• Spatial Extent: Encapsulate the entire visible section of the ball within a bounding box.
• Visibility: Do not label if obstructed beyond recognition.

Player

Description

Players are human figures engaged in the game, typically wearing sports uniforms. This category includes referees who are dressed differently but are part of the on-field activity.

Instructions

• Position: Identify all human figures present on the field, including those in motion or standing still.
• Spatial Extent: Include the entire human figure from head to toe if visible, or up to the visible portion if partially obscured by other players or objects.
• Disambiguation: Identify referees by their distinct uniform, generally contrasting with team colors, and include them in annotations as players too.
• Visibility: Do not annotate if a player is obscured in a manner where identification is unclear.

Here are a few use cases for this project:

1. Sports Broadcasting and Analysis: The model can be used to automate player tracking, ball movements, identifying referee decisions, and analysing on-field tactics during live or recorded soccer matches, providing in-depth game insights and enhancing viewing experience.

2. Game Play Simulation: This model can be used to analyze the gameplay in real-life soccer matches. This gameplay data can be used in developing more realistic soccer video games or for AI training to mimic human strategies.

3. Player Performance Evaluation: Sports coaching teams could use the model to observe and analyze the performance of individual players and the team more broadly, by tracking player movements, ball possession, and goalkeeper performance.

4. Virtual Reality Applications: VR applications aiming to put users into the game could use this model to accurately identify and replicate realistic soccer game elements.

5. Security and Surveillance at Football Events: The model could help identify the relative positions of players, referees and security personnel during crowded football matches in real time, thus helping ensure smooth crowd management and immediate responses to security incidents.

Use our trusted SportMonks Football API to build your own sports application and be at the forefront of football data today.

Our Football API is designed for iGaming, media, developers and football enthusiasts alike, ensuring you can create a football application that meets your needs.

Over 20,000 sports fanatics make use of our data. We know what data works best for you, so we ensured that our Football API has all the necessary tools you need to create a successful football application.

• Livescores and schedules Our Football API features extremely fast livescores and up-to-date season schedules, meaning your app will be the first to notify its customers about a goal scored. This also works to further improve the look and feel of your website.

• Statistics and line-ups We offer various kinds of football statistics, ranging from (live) player statistics to team, match and season statistics. And that’s not all - we also provide pre-match lineups for all important leagues.

• Coverage and historical data Our Football API covers over 1,200 leagues, all managed by our in-house scouts and data platform. That means there’s up to 14 years of historical data available.

• Bookmakers and odds Build your football sportsbook, odds comparison or betting portal with our pre-match and in-play odds collated from all major bookmakers and markets.

• TV Stations and highlights Show your customers where the football games are broadcasted and provide video highlights of major match events.

• Standings and topscorers Enhance your football website with standings and live standings, and allow your customers to see the top scorers and what the season's standings are.