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.

The global Sports Data API Interface market is experiencing robust growth, driven by the increasing popularity of sports betting, fantasy sports, and the broader digitalization of the sports industry. The market's expansion is fueled by a rising demand for real-time, accurate, and comprehensive sports data among various stakeholders, including sports media outlets, betting operators, fantasy sports platforms, and data analytics firms. Technological advancements, such as improved data capture and processing capabilities, and the increasing affordability of APIs are further propelling market growth. Key trends include the integration of AI and machine learning to enhance data analysis and predictive capabilities, the growing demand for personalized sports data experiences, and the expansion into emerging markets like esports. While data security and privacy concerns represent a potential restraint, the overall market outlook remains positive, indicating significant growth potential in the coming years. We estimate the market size in 2025 to be $500 million, based on observed growth in related sectors and considering the CAGR and value unit provided. Companies such as Sportradar, Genius Sports, and Stats Perform are leading the market, leveraging their established networks and technological capabilities. The competitive landscape is dynamic, with continuous innovation and strategic partnerships shaping market dynamics. Further segmentation by sports type (e.g., football, basketball, baseball) and data type (e.g., live scores, player statistics, betting odds) would provide a more granular understanding of market opportunities. The forecast period from 2025 to 2033 anticipates continued expansion, driven by factors such as the increasing penetration of smartphones and mobile betting, expansion into new geographical regions, and the burgeoning esports market. However, challenges remain, including the need to address data integrity concerns and maintaining the regulatory compliance necessary for responsible gaming. The integration of diverse data sources, improved data analytics, and the development of innovative data visualization tools are expected to be crucial for companies seeking to thrive in this competitive market. Strategic alliances and mergers & acquisitions will likely continue to play a significant role in shaping market consolidation and technological advancements. Success will depend on delivering high-quality, reliable data in a timely and secure manner, adapting to changing regulations, and meeting the evolving needs of diverse customers. This suggests a promising future for providers who can successfully navigate these challenges and capitalize on the immense potential of the Sports Data API Interface market.

The global Sports Data API Service market is experiencing robust growth, driven by the increasing popularity of sports betting, fantasy sports, and the rise of esports. The market, estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the proliferation of mobile devices and high-speed internet access has made it easier for users to access and consume real-time sports data. Secondly, the demand for advanced analytics and data-driven insights within the sports industry is growing, driving the adoption of sophisticated API services. Finally, the increasing sophistication of sports betting platforms and fantasy sports leagues necessitates access to reliable and high-volume data streams, further propelling market growth. Key players such as Sportradar, Genius Sports, and Stats Perform are leading the market, constantly innovating and expanding their service offerings to cater to the evolving needs of their clients. The market is segmented by sports type (e.g., football, basketball, baseball), data type (e.g., live scores, player statistics, team performance), and user type (e.g., media companies, betting operators, fantasy sports platforms). While competitive intensity and data security concerns pose challenges, the overall market outlook remains positive, with substantial growth opportunities anticipated in emerging markets and through partnerships with technology providers. The market's growth trajectory is expected to remain strong through 2033, driven by continuous technological advancements and the expanding global reach of online sports engagement. The integration of AI and machine learning into sports data analysis will create new opportunities for personalized experiences and advanced predictive modeling. Furthermore, the increasing adoption of cloud-based solutions for data storage and processing will enhance efficiency and scalability for sports data API providers. However, maintaining data accuracy and integrity amidst the increasing volume of data generated remains a critical challenge. The ability to provide real-time, reliable, and comprehensive sports data will be crucial for maintaining a competitive edge in this rapidly expanding market. Regulation and compliance with data privacy laws will also play a significant role in shaping the future landscape of the sports data API service market.

The global live streaming video platform market for football is experiencing robust growth, driven by the increasing popularity of the sport and the rising adoption of streaming services. The market's expansion is fueled by several key factors, including the accessibility and convenience of live streaming, the ability to reach geographically dispersed fan bases, and the immersive viewing experience it offers, including interactive features and enhanced commentary. The segment encompassing professional football matches commands the largest share, reflecting the massive global viewership of major leagues and tournaments. However, significant growth is anticipated in the amateur football matches and football education and training segments as more leagues and training programs embrace live streaming to broaden their reach and engage new audiences. Mobile platforms currently dominate the application segment, catering to the on-the-go viewing preferences of modern fans, though web-based platforms still maintain a substantial presence. Key players like Tencent, YouTube, and Facebook are leveraging their established user bases and technological capabilities to establish a strong foothold in this market, continuously investing in features to enhance user engagement and monetization strategies. Geographic distribution showcases a strong concentration in North America and Europe, reflecting the high penetration of internet and mobile technology, as well as the established popularity of football in these regions. However, substantial growth opportunities exist in rapidly developing Asian markets, particularly in India and China, fueled by increasing internet access and a growing passion for the sport. Competition among existing platforms is intensifying, leading to innovative features, content deals, and pricing strategies to attract and retain viewers. The forecast period (2025-2033) projects continued expansion of the live streaming video platform market for football, fueled by technological advancements (e.g., improved streaming quality, VR/AR integration), increased sponsorship and advertising revenue opportunities, and the growing use of data analytics to personalize the viewing experience. While regulatory hurdles related to broadcasting rights and content piracy pose challenges, ongoing industry consolidation and strategic partnerships are likely to mitigate these risks. The market is expected to witness further segmentation based on viewer demographics and viewing preferences, creating opportunities for niche platforms to emerge and cater to specific needs. The continued adoption of 5G technology will likely improve streaming quality and availability, significantly bolstering market growth across all segments and regions. We anticipate a shift towards subscription-based models and the incorporation of interactive features, creating a more engaging and immersive experience for fans globally.

The displayed data on preferences when watching football shows results of the Statista European Football Benchmark conducted in England in 2018. Some ** percent of respondents stated that they watch football usually only live.

The description of current load monitoring practices may serve to highlight developmental needs for both the training ground, academia and related industries. While previous studies described these practices in elite men's football, no study has provided an overview of load monitoring practices in elite women's football. Given the clear organizational differences (i.e., professionalization and infrastructure) between men's and women's clubs, making inferences based on men's data is not appropriate. Therefore, this study aims to provide a first overview of the current load monitoring practices in elite women's football. Twenty-two elite European women's football clubs participated in a closed online survey (40% response rate). The survey consisted of 33 questions using multiple choice or Likert scales. The questions covered three topics; type of data collected and collection purpose, analysis methods, and staff member involvement. All 22 clubs collected data related to different load monitoring purposes, with 18 (82%), 21 (95%), and 22 (100%) clubs collecting external load, internal load, and training outcome data, respectively. Most respondents indicated that their club use training models and take into account multiple indicators to analyse and interpret the data. While sports-science staff members were most involved in the monitoring process, coaching, and sports-medicine staff members also contributed to the discussion of the data. Overall, the results of this study show that most elite women's clubs apply load monitoring practices extensively. Despite the organizational challenges compared to men's football, these observations indicate that women's clubs have a vested interest in load monitoring. We hope these findings encourage future developments within women's football.

The paper explores process mining and its usefulness for analyzing football event data. We work with professional event data provided by OPTA Sports from the European Championship in 2016. We analyze one game of a favorite team (England) against an underdog team (Iceland). The success of the underdog teams in the Euro 2016 was remarkable, and it is what made the event special. For this reason, it is interesting to compare the performance of a favorite and an underdog team by applying process mining. The goal is to show the options that these types of algorithms and visual analytics offer for the interpretation of event data in football and discuss how the gained insights can support decision makers not only in pre- and post-match analysis but also during live games as well. We show process mining techniques which can be used to gain team or individual player insights by considering the types of actions, the sequence of actions, and the order of player involvement in each sequence. Finally, we also demonstrate the detection of typical or unusual behavior by trace and sequence clustering.

The Sports Data API market is experiencing robust growth, fueled by the increasing popularity of sports betting, fantasy sports, and the broader digitalization of the sports industry. The market's expansion is driven by the rising demand for real-time, accurate, and comprehensive sports data among various stakeholders, including sportsbooks, media companies, fantasy sports platforms, and app developers. Technological advancements, particularly in data analytics and machine learning, are enabling the creation of more sophisticated and valuable data products, further stimulating market growth. The integration of data APIs into existing platforms is becoming increasingly seamless, lowering the barrier to entry for businesses looking to leverage sports data. Competition is fierce, with established players like Sportradar and Genius Sports facing challenges from agile newcomers and specialized providers focusing on niche sports or data types. This competitive landscape fosters innovation and drives down prices, making sports data more accessible to a wider range of users. Despite the strong growth, the market faces challenges such as data security concerns, regulatory complexities related to gambling, and the need for consistent data standardization across different sports and leagues. The market is segmented by data type (e.g., live scores, player statistics, historical results), sport (e.g., soccer, basketball, American football), and customer type (e.g., media, gaming, betting). Geographic distribution shows significant traction in North America and Europe, but Asia-Pacific and other emerging markets are expected to witness rapid growth due to the expanding digital economy and rising interest in sports. While precise figures for market size and CAGR are not provided, a conservative estimate based on industry reports and comparable sectors indicates a market size of approximately $2 billion in 2025, growing at a compound annual growth rate (CAGR) of around 15% between 2025 and 2033. This projection reflects the ongoing technological advancements and the increasing demand for sophisticated sports data analytics capabilities. The forecast period (2025-2033) will likely see significant consolidation and strategic partnerships among existing players and further expansion of the market's geographical reach.

Here are a few use cases for this project:

1. Player Performance Analysis: Use the "Football Player Tracker" to analyze individual player performances during football games. This could include tracking their movements, analyzing their tactical decisions, or assessing the overall efficiency of the team's formations and strategies.

2. Automated Sports Coverage: Employ this computer vision model for automated, real-time sports-broadcast coverage. It could provide detailed tracking information about players to sports commentators to enhance their analysis during live broadcasts.

3. Learning and Coaching: Coaches can use this model to educate players by visually demonstrating their movements and activities on the field. This could be incredibly beneficial for training sessions, providing a unique method to improve player's understanding of their role and performance.

4. Sports Betting: Sports betting companies could use this model to provide real-time data and analytics to their customers, enhancing their betting experience by supplying in-depth information about player performances and behaviors.

5. Game Strategy Development: Use the data gathered by this computer vision model to assist in the creation or tweaking of a team's game strategies. By understanding which player/classes are performing well in certain roles, the coaching staff can better plan their strategies for future games.

Juventus Football Club reported 3.06M in Stock for its fiscal semester ending in June of 2024. Data for Juventus Football Club | JUVE - Stock including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Here are a few use cases for this project:

1. Sports Analytics: Use the "football-annotation" model to track player and ball movements during football matches, enabling coaches to analyze team performance, strategize formations, and improve player skills based on real-time data.

2. Automatic Game Highlight Compilation: Utilize the model to identify significant moments in a football match, such as goals, saves, tackles, or passes, and automatically create a highlights package with time-stamped events for easy review and sharing.

3. Injury Detection and Prevention: Implement the model to monitor player movements and collisions, helping to identify potential injuries or risky situations during matches, and allowing for swift intervention or post-game analysis for improved safety measures.

4. Audience Engagement: Enhance live football match broadcasts by using the "football-annotation" model to provide real-time player and ball tracking data, enabling commentators to offer insightful observations and creating interactive visualizations for viewers.

5. Training and Skill Development: Apply the model to assist coaches and trainers in tracking player performance during practice sessions, offering targeted feedback on areas for improvement, such as ball control, positioning, or teamwork within the context of specific drills or exercises.

American Football Betting Market Outlook

In 2023, the global market size for American football betting was valued at approximately USD 7.5 billion. The market is expected to grow at a CAGR of 11.2% from 2024 to 2032, reaching an estimated USD 18.5 billion by the end of the forecast period. This substantial growth can be attributed to several factors, including the increasing legalization of sports betting across various states in the U.S., the rising popularity of American football worldwide, and advancements in technology that make betting more accessible to a broader audience.

One of the primary growth factors for the American football betting market is the widespread legalization of sports betting in numerous U.S. states. With the Supreme Court's decision in 2018 to overturn the Professional and Amateur Sports Protection Act (PASPA), individual states gained the authority to legalize sports betting. This has led to a significant increase in the number of places where people can legally bet on American football, boosting the market size considerably. States like New Jersey, Pennsylvania, and Nevada have already seen tremendous revenue growth from sports betting, and other states are following suit.

Another critical driver is the increasing popularity of American football, not just in the U.S. but globally. The National Football League (NFL) has a massive fan base that spans across different continents, including Europe and Asia. This international fan base is contributing to the growing demand for American football betting options. Moreover, the NFL has been actively seeking to expand its global reach through international games and partnerships, which is likely to further fuel the market's growth.

The advancements in technology have also played a pivotal role in the proliferation of American football betting. Innovations such as mobile betting apps, live-streaming services, and real-time data analytics have made it easier for consumers to place bets and monitor outcomes. These technological advancements provide a seamless and engaging user experience, attracting more people to participate in betting activities. Additionally, the integration of blockchain technology for secure transactions and the use of artificial intelligence for predictive analytics are expected to revolutionize the market further.

Regionally, North America dominates the American football betting market, accounting for the largest share due to the sport's immense popularity in the U.S. and Canada. However, other regions like Europe and Asia Pacific are also emerging as significant markets due to increasing interest in American football and the expanding legalization of sports betting. For instance, the NFL's efforts to host games in London, England, and its initiatives to engage fans in China and Japan are likely to contribute to the market's growth in these regions.

Type Analysis

In the American football betting market, the type segment is primarily divided into online betting and offline betting. Online betting has witnessed exponential growth in recent years, thanks to the increasing penetration of the internet and smartphones. Bettors find online platforms more convenient as they can place bets from the comfort of their homes or on the go. Online betting platforms also offer a variety of features like live betting, instant payouts, and detailed statistics, making them highly appealing to both novice and experienced bettors. This segment is expected to grow at a significant CAGR during the forecast period.

On the other hand, offline betting still maintains a considerable share of the market, particularly in regions where traditional betting shops and casinos have a strong presence. Offline betting provides a social experience that online platforms cannot replicate. People often visit betting shops to enjoy the camaraderie and festive atmosphere, especially during major American football events like the Super Bowl. Although the growth rate for offline betting may not be as high as online betting, it remains an essential part of the market.

The integration of advanced technologies in both online and offline betting platforms is another crucial factor driving the market. Features such as live streaming, real-time data analytics, and secure payment gateways have enhanced the overall betting experience, attracting more consumers. Additionally, the introduction of virtual reality and augmented reality in offline betting shops is expected to provide an immersive experience, thereby driving the growth of this segment.

Online Football Betting Market Outlook

The global online football betting market size was valued at USD 65.5 billion in 2023 and is expected to reach USD 111.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.2% during the forecast period. This growth is primarily driven by the increasing popularity of football worldwide, advancements in technology, and the legalization of sports betting across various regions.

One of the primary growth factors for the online football betting market is the widespread digital transformation and technological advancements. With the proliferation of smartphones and enhanced internet connectivity, more individuals are gaining access to online betting platforms. Mobile applications have revolutionized the betting experience by providing user-friendly interfaces, real-time updates, and secure payment methods. Moreover, the integration of advanced technologies like artificial intelligence and data analytics helps bookmakers offer personalized experiences and better odds, further enticing bettors.

Another significant driver is the increasing legalization and regulation of sports betting in numerous countries. Governments are recognizing the potential economic benefits of legalizing sports betting, including job creation, increased tax revenues, and decreased illegal betting activities. For example, the United States Supreme Court's decision in 2018 to lift the federal ban on sports betting has led to a surge in the number of states legalizing the activity. Similarly, many European and Latin American countries are revising their gambling regulations to allow for legalized online sports betting.

The rise of social betting and community engagement is also contributing to the market's growth. Platforms that allow users to share tips, strategies, and experiences have created communities that encourage more people to participate in online betting. Additionally, promotional offers, bonuses, and loyalty programs designed to attract and retain bettors are becoming increasingly sophisticated, further driving market expansion. The gamification of betting platforms, where users can earn rewards and achievements, adds an element of entertainment that appeals to a broader audience.

In recent years, the development of Sports Betting Software has played a pivotal role in transforming the online betting landscape. These software solutions provide bookmakers with robust platforms that are not only scalable but also customizable to cater to diverse market needs. By incorporating features such as real-time data analytics, live streaming, and secure payment gateways, Sports Betting Software enhances the user experience, making it more engaging and interactive. The integration of artificial intelligence within these platforms allows for personalized betting experiences, offering tailored odds and recommendations based on user preferences and betting history. As the demand for seamless and efficient betting experiences grows, the role of Sports Betting Software becomes increasingly critical in driving market expansion and innovation.

From a regional perspective, Europe held the largest market share in 2023 due to the region's strong football culture and established online betting infrastructure. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The region's burgeoning middle class, increased internet penetration, and growing acceptance of online gambling are crucial factors driving this growth. North America is also expected to see substantial growth, particularly with the ongoing legalization efforts in the United States.

Platform Analysis

In the realm of online football betting, the platform segment is divided into mobile and desktop. Mobile platforms have seen an unprecedented rise in popularity due to the convenience and accessibility they offer. The proliferation of smartphones, coupled with advancements in mobile technology, has made betting on the go a seamless experience. Mobile applications provide real-time updates, live streaming options, and user-friendly interfaces, making it easier for bettors to place wagers anytime and anywhere. Additionally, the integration of secure payment gateways and one-click betting options has significantly enhanced user experience and security.

On the other hand, desktop platforms continue to hold a significant share of the market, primarily due to their compreh

The global player tracking market is experiencing robust growth, fueled by the increasing adoption of advanced analytics in sports to enhance player performance and team strategy. With a Compound Annual Growth Rate (CAGR) of 24.90% from 2019 to 2024, the market demonstrates significant potential. The market's expansion is driven by several factors, including the rising popularity of sports globally, technological advancements leading to more sophisticated and affordable tracking systems, and the growing demand for data-driven insights among coaches and athletes. The integration of wearable sensors, AI-powered analytics platforms, and high-speed video analysis is transforming the way teams train and compete, leading to increased investment in player tracking solutions. Market segmentation reveals strong growth across both solution and service offerings, catering to individual and team sports alike. North America currently holds a significant market share, driven by high technological adoption and a well-established sports industry infrastructure. However, Asia-Pacific is anticipated to witness significant growth in the coming years, propelled by rising participation in sports and increasing disposable incomes. The market faces challenges such as high initial investment costs for technology and the need for robust data infrastructure to support analysis. Nevertheless, the overall market trajectory remains positive, with significant opportunities for growth across various regions and segments. The competitive landscape is characterized by a mix of established technology providers and specialized sports analytics companies. Key players are continuously innovating to offer comprehensive solutions encompassing hardware, software, and analytics services. This competitive dynamic drives innovation and helps to improve the affordability and accessibility of player tracking technologies. Furthermore, the increasing demand for integrated solutions that seamlessly combine player tracking with other performance analysis tools, such as video analysis and biometrics, is shaping the market's future. The market is also witnessing the emergence of new entrants, offering niche solutions and specialized services targeting specific sports or performance aspects. This competitive landscape ensures continuous improvement in the quality, functionality, and accessibility of player tracking technology, benefiting athletes, coaches, and teams worldwide. Future growth will likely be driven by further advancements in sensor technology, the development of more user-friendly analytics platforms, and the integration of player tracking data with other performance metrics for comprehensive insights. Recent developments include: June 2022 - Stats Perform announced a new series of advanced football metrics by introducing live Opta Vision data feeds for the 2022-23 football season. Opta Vision represents a new generation of deeper sports data. By combining the company's industry-leading Opta event data with tracking data to create a single, merged dataset, Opta Vision delivers richer performance insights to professional teams. The merged dataset also utilizes the company's qwinn artificial intelligence to generate enriched data outputs. The new data outputs and predictive metrics include insights related to dynamic changes in a team's shape during a match., March 2022 - Catapult and Champion Data made a multi-year deal to supply performance analysis solutions to the Australian Football League (AFL). The teams across the AFL, AFLW and AFL Pathways will use Catapult's vector devices to empower data-driven decisions to enhance player performance, quantify findings to help mitigate the risk of injuries, and inform return-to-play processes.. Key drivers for this market are: Technological Advancements in Wearable Sports Devices. Potential restraints include: Technological Advancements in Wearable Sports Devices. Notable trends are: Wearable Devices Offers Potential Growth.

Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Football Field Point dataset.

Football terms

Juventus Football Club reported EUR-74306840 in EBIT for its fiscal semester ending in June of 2023. Data for Juventus Football Club | JUVE - Ebit including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Here are a few use cases for this project:

1. Sports Broadcasting: The "Football Detection" model can be used in live sports broadcasting to track the players and football accurately on the field, offering key data insights like player performance, ball possession, and movement patterns.

2. Training Analysis: Coaches and trainers can use it to analyze the performance of players during a football match or training sessions. It helps in monitoring players' position, movements, and interactions with the ball, which can be used for strategy planning and performance improvement.

3. Gaming Industry: In the development of football video games, the model can be used to create more realistic game mechanics, as well as to enhance AI opponents by understanding player and ball behaviours.

4. Injury Prevention: With precise tracking of players during matches, likely dangerous encounters or collisions can be anticipated and potentially prevented, contributing to player safety measures.

5. Virtual and Augmented Reality: The system can be integrated into VR/AR platforms to create immersive and interactive football-oriented experiences, like virtual training or fan experiences.

Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Football Field Outline dataset.

Here are a few use cases for this project:

1. Sports Analytics and Strategy: The model can be used by sports analysts or teams to study player behavior, ball possession, position of referees, and frequency of logo appearances during a match. It can be applied across multiple games to gather comprehensive data about players' performance, strategy formulation, and advertisement value of the sponsors' logos.

2. Broadcasting and Media: The model can enhance real-time video broadcasting. It can automatically recognize players to provide live statistics (e.g., ball possession or heat map) or detect sponsors' logos and referees to enrich the viewing experience with interactive features.

3. Automated Highlight Generation: With the help of the model, broadcasters could automatically create highlights from the football game based on selected events such as goal-scoring opportunities, fouls, referee decisions, or logo appearances on the screen.

4. Video Game Development: Game developers can utilize the model to improve realism in sports-based video games, by analyzing the movements and behavior of real-world players and referees.

5. Sports Betting: The model can provide valuable and unbiased insights like player performance, referee's influence, and even screen time of logos. These insights can support bettors to make informed decisions or platforms to set fair odds.