Artificial intelligence, AI in sports, is changing how athletes train, how coaches analyze performance, and may one day impact how college programs evaluate potential recruits. From AI-assisted video analysis to data-driven scouting, new technology is popping up to help coaches process more information and identify talent. But what does this mean for high school student-athletes? Understanding how AI is used in college recruiting, and what it can’t do, can help families prepare, build stronger recruiting profiles, and make informed decisions.
Key Takeaways
- AI in sports can help analyze game film, track performance and organize recruiting data, but coaches still make the final decisions.
- AI-assisted scouting tools can measure certain athletic movements and performance metrics, depending on the sport, technology and video quality, but it’s still important to work with experts.
- There’s limited evidence that colleges routinely use AI to predict whether high school recruits will eventually transfer.
- Clear recruiting videos, verified stats and updated academic information help coaches evaluate student-athletes and identify potential fits.
- Athletes should focus on building relationships with college coaches, not trying to impress an algorithm.
How AI in Sports Is Changing Athlete Performance Evaluation
Artificial intelligence in sports is making it easier to analyze athletic performance using video, statistics, and other data. Technologies such as computer vision and machine learning can identify patterns in information that might otherwise require hours of manual review.
However, not every sports technology tool uses AI. Some rely on traditional statistical analysis, automated workflows, or human analysts. Understanding the difference helps athletes and parents recognize what these tools can realistically provide.
From Game Film to Performance Data
Traditionally, coaches and scouts evaluated athletes by watching games, attending competitions and reviewing statistics. Those methods remain important, but technology can help organize and expand the information available.
For example, Hudl Assist provides game breakdowns, tagged video and statistics that coaches can filter and review. Its workflows involve trained analysts rather than relying entirely on artificial intelligence.
Other technologies use computer vision to extract movement data from video. SkillCorner, for example, uses video-based tracking technology in soccer to generate positional and physical performance data from compatible footage.
These capabilities can help analysts examine performance without manually tracking every movement. However, the accuracy and availability of measurements depend on the sport, technology, camera setup, and quality of the footage.
NCSA recruiting coach Ben Wright said it’s important for families and student-athletes to be up to date on all changes happening with AI – as they are likely to come quickly. “I do not know of any college coaches who are using many AI tools to assess recruits, but it’s only a matter of time,” he said. “I would anticipate that coming soon and having widespread adoption.”
It’s more important, he said, to focus on the basics of recruiting: Competing at your best, building relationships and being proactive.
What Can AI Sports Analytics Actually Measure?
Depending on the sport and technology, AI-assisted analytics can help measure or evaluate:
- Speed and acceleration: How quickly athletes move and change speed during competition.
- Player positioning: Where athletes move on the field or court and how they respond to game situations.
- Movement patterns: How often athletes make specific movements, such as sprints, changes of direction or off-ball runs.
- Performance trends: How certain measurable results change across games or over time.
But keep in mind, this technology has existed in some form – even without AI – for some time. For example, video tracking systems used in soccer can provide information about running distances, movement intensity, and positioning. Other sports may use different performance metrics based on the skills and demands of competition.
But these systems, AI or not, have limitations. A tool that identifies player movement doesn’t necessarily understand an athlete’s decision-making, effort or long-term potential. Performance metrics also need context, including the athlete’s age, competition level and position.
For recruits, the goal isn’t to train for every metric an algorithm might measure. It’s to develop the skills college coaches value and document their performance accurately. It’s important to work with experienced coaches and experts knowledgeable in these areas who can help you train properly. Student-athletes looking to improve speed, movement and performance may consider attending a camp at IMG Academy or utilizing the drills and education in IMG Academy+ Essentials.
The Digital Arms Race: AI and Analytics in Scouting
College recruiting involves evaluating athletes across different teams, competitions, and regions. AI-assisted scouting and analytics tools give some programs additional ways to organize film, compare measurable information and identify athletes for closer evaluation.
While these technologies are becoming more sophisticated, their use varies by sport, division and athletic department resources. AI isn’t replacing traditional scouting. It’s another tool that can support the recruiting process.
How College Coaches Use AI Video Evaluation
Video is an important part of recruiting, especially when coaches can’t attend an athlete’s games or competitions in person.
AI-assisted video tools can help organize footage, identify specific events and, with suitable technology, analyze player movement. This may allow coaches and analysts to review certain plays or performance trends more efficiently.
For example, a coach evaluating soccer prospects might use video and tracking data to examine positioning and movement patterns. A football coach might use tagged film to review plays involving a particular position.
However, coaches can’t assume every AI platform can accurately calculate an athlete’s burst speed, lateral movement angles or other physical measurements from any submitted highlight reel. These capabilities depend on the available technology and footage.
What this means for athletes: Focus on submitting clear, well-organized film that demonstrates your skills. Make yourself easy to identify, show your strongest plays and provide additional game footage when appropriate. This is true whether a coach uses an AI tool or not.
Can AI Predict Whether a High School Athlete Will Transfer?
The NCAA transfer portal has changed how college programs think about roster construction and long-term recruiting needs.
Data analysis can support roster planning by helping programs organize information about graduation years, eligibility, position depth, and potential personnel changes.
However, there’s an important difference between modeling roster needs and accurately predicting whether an individual athlete will transfer. That’s why coaches focus on building relationships with recruits, to establish if they are a good fit academically, athletically and otherwise with their program.
College coaches are often looking at intangibles as much as they are numbers – your attitude, your leadership and work ethic – none of which can be measured by AI. Establishing how a student-athlete fits in a program is often the best predictor of their likelihood to transfer.
Student-athletes also transfer during their college often for reasons that have nothing to do with their high school years – such as coach changes, playing time, NIL opportunities and more.
Claims that athletes are automatically assigned transfer-risk scores based on their social media activity or history of changing high schools or club teams should be treated cautiously. Some schools, though, are utilizing AI in their transfer portal recruiting.
CBS Sports reported that at the University of Nebraska, Sean Padden, the Huskers’ assistant AD for strategic intelligence, created an AI tool to quickly analyze social media posts to help narrow down which players they should pursue during the hectic transfer portal window.
“Right now, we are in version 1.0 and so right now I am just sort of auditing it by putting in guys that I knew missed time, and seeing what it’s coming back and telling me, and seeing if it’s catching the time loss,” said Padden. “There’s agents that are looking at high school history, recruiting history, generic news articles. The goal is to be able to find everything that we can. You have to hope that the AI catches the time loss and is curious about it, and hopefully it can give you an answer as to why there was missed time there.”
For families, the best approach is to be prepared to explain any changes in schools or teams and focus on finding a college that fits the athlete academically, athletically, and personally.
Does Social Media Influence AI-Driven Recruiting?
Social media can play a role in how college coaches learn about prospective athletes, but that doesn’t mean every program uses AI to evaluate social media activity.
Coaches may review public profiles to learn more about an athlete’s accomplishments, interests, and conduct. Athletes can also use social platforms to share highlights, competition results, and recruiting updates.
While AI technologies can analyze online content, there’s not enough public evidence to conclude that automated social media scoring is a standard practice in college recruiting.
But the best advice for student-athletes is to treat social media as part of their recruiting presence. Share relevant athletic achievements, communicate respectfully, and consider how public posts might be interpreted by college coaches.
“Your social media presence isn’t just your brand – it is you. From what you post and how you present yourself, how you engage with others, both publicly in chats, threads and mentions, to what you say in DMs, to whom else you choose to follow/repost/endorse, all of it should be treated with attention, care & awareness,” said Wright.
“College coaches use AI agents and content scanners to vet recruits and do homework on prospects’ backgrounds, and they will find everything in your digital footprints. Expect it and proactively get ahead of it by following best practices in all of your social media activities.”
Read our Ultimate Guide to Social Media for College Recruiting for more tips.
How Recruiting Platforms Help Athletes Find the Right College Fit
Technology other than AI can also help student-athletes research college programs and identify schools that align with their goals.
Rather than focusing only on well-known programs, athletes can use recruiting tools to compare colleges based on athletic level, academic interests, location, and personal preferences.
This kind of data-driven matching can make the college search more organized, but a match recommendation isn’t a scholarship offer or a guarantee that a coach is recruiting a particular athlete. Data-driven match technology also existed long before AI – like NCSA’s College Match tool.
How NCSA College Match Works
NCSA College Match helps student-athletes identify colleges that may fit their athletic abilities, academic goals and personal preferences using NCSA’s proprietary algorithm.
NCSA’s matching process combines several types of information:
- Athlete preferences: Factors such as location, school size, and division level.
- Academic profile: Transcripts and standardized test scores (when available)
- Real coach feedback: Reviews of athletic measurables, recruiting video and academic information.
As athletes update their profiles, preferences and recruiting progress, they can use College Match to refine their school lists and identify potential opportunities. “Remember your match percentage is only here for your family and (your NCSA recruiting coach) to talk about,” said Wright. “College coaches have no access to that number.”
The process combines technology – NCSA’s algorithm — with recruiting expertise. Athletes and families should still research individual programs, communicate with coaches, and consider whether a school offers the right overall fit. The more complete your profile, the better the match recommendations are.
You can get started with the Match tool with a free profile and see basic information about colleges that appear in your search results. You must upgrade to a paid membership to see match percentages, detailed match analysis including how your preferences stack up with what the school offers and to connect easily to coaches at that school.
Why Personalized Recruiting Outreach Still Matters
Even with advanced technology, direct communication remains an important part of college recruiting. “If a coach thinks you can help their team, they’ll reach out to you,” said Wright. The most important thing – even in the age of AI – is direct communication and exposure.
Athletes should research programs before reaching out and explain why they’re interested in each school. A personalized message that includes relevant athletic information, academics and recruiting video gives coaches useful context. Athletes might use AI to help edit a message before sending, but should compose the message themselves. College coaches want to hear from you – not an AI agent.
NCSA can help athletes organize their contacts, identify potential college matches, and track recruiting activities.
However, technology can’t guarantee a coach will respond. Recruiting needs, scholarship availability, roster space and NCAA contact rules all influence when and how coaches communicate with prospects.
What Athletes Should Do to Prepare for AI-Assisted Recruiting
Student-athletes don’t need to become technology experts to improve their recruiting opportunities.
Whether a college uses AI-assisted scouting tools or traditional evaluation methods, the most useful steps remain largely the same.
1. Build a Complete, Accurate Recruiting Profile
A strong recruiting profile helps coaches quickly understand an athlete’s academic background, athletic ability and college interests.
Include your graduation year, position or event, current statistics, academic information, recruiting video and contact details.
Where relevant, include verified sport-specific measurements such as sprint times, pitching velocity, vertical jump or official race times.
Keep your information current as you improve, compete and achieve new results. Accurate information is more useful than impressive numbers that can’t be verified.
2. Create Recruiting Videos That Coaches Can Evaluate
Quality recruiting videos make it easier for coaches to assess your ability, whether they’re watching manually or using video analysis tools.
Focus on a few fundamentals:
- Use clear, stable footage that makes you easy to identify.
- Put your strongest and most relevant clips first.
- Show skills that matter for your sport and position.
- Include enough of each play to demonstrate technique and decision-making.
- Make additional full-game, full-match or skills footage available when appropriate.
Consider video requirements vary by sport:
For example, a football recruiting video should have game footage for most positions, while kickers and punters generally benefit from skills footage.
For basketball, a concise highlight video with full-game footage should be made available for coaches who want to evaluate more.
Don’t build your video around what you think an algorithm wants. Build it around what college coaches need to see.
3. Use Performance Data to Show Progress
Tracking measurable improvements can help athletes understand their development and provide useful information to college coaches.
Depending on the sport, this might include verified race times, strength and speed testing results, pitching velocity, or other relevant statistics.
Include the date and testing conditions when appropriate. A measurement from an official competition or reputable testing event may provide more context than an unsupported estimate.
You don’t need expensive AI technology to track meaningful progress. Accurate results and consistent improvement can be valuable on their own.
4. Research Colleges and Personalize Your Outreach
Use college recruiting platforms and school research tools to identify programs that fit your athletic ability, academics, and preferences.
Review college rosters, coaching staff, academic offerings and available recruiting information before contacting a program.
When reaching out, explain why the school interests you and include relevant information that makes it easy for the coach to evaluate you.
Remember that NCAA recruiting communication rules differ by sport and division. Understanding those rules can help families set realistic expectations about when coaches may respond.
5. Protect Your Personal and Performance Data
As sports technology becomes more common, student-athletes should understand how their information is collected and shared.
Performance platforms may collect statistics, video, location-related information or other athlete data, depending on the technology.
The NCAA’s performance technology guidance recommends that college programs address data access, privacy, security, informed consent and responsible use.
For high school families, it’s worth reviewing a platform’s privacy practices before uploading sensitive information.
Parents and athletes should understand who can view their data, what information is publicly visible, and whether access can be changed or revoked.
The Future of AI in Sports Recruiting
Artificial intelligence will likely continue to influence how sports organizations analyze performance, manage video, and organize athlete information.
As these tools develop, college programs may have additional ways to identify and evaluate prospective recruits. But technology alone can’t determine whether an athlete will succeed at a particular school.
Coaches still consider athletic ability, academic qualifications, development potential and overall program fit. Conversations, relationships, and firsthand evaluations remain important.
For student-athletes and parents, the goal shouldn’t be to get recruited by an algorithm. It should be to make your abilities easy to evaluate, communicate with programs that fit your goals and make informed decisions about your future.
A complete recruiting profile, quality film, accurate statistics and a realistic college list can help you do that, regardless of which technologies a coach uses.
Frequently Asked Questions About AI in Sports Recruiting
How is AI used in sports?
AI in sports helps analyze performance data, track player movement, organize video footage and identify patterns. Teams may use AI-assisted tools for scouting, coaching and athlete development, although capabilities vary by technology and sport.
Do college coaches use AI to evaluate highlight film?
Some college programs use video analysis and AI-assisted tools to organize film or evaluate performance data. However, coaches still review athletes’ skills, potential and overall fit rather than relying solely on AI-generated evaluations.
Can AI predict whether an athlete will transfer colleges?
Predictive analytics can help explore roster scenarios, but there’s limited public evidence that colleges routinely use AI to predict whether an individual high school recruit will eventually transfer. Such predictions should not be treated as certain.
Can social media hurt an athlete in predictive models?
There’s insufficient evidence that colleges routinely use AI to score recruits based on social media activity. However, coaches may review public posts when evaluating an athlete’s character and fit. Athletes should maintain a respectful, professional online presence.
How should highlight video change for AI review?
Athletes should prioritize what coaches need to see, not what an algorithm might recognize. Use clear footage, identify yourself, demonstrate relevant skills and show your best clips early. Provide additional game or skills footage when appropriate for your sport.
Do athletes need AI recruiting tools to get recruited?
No. AI tools aren’t required for college recruiting. Athletes can improve their opportunities by creating quality recruiting videos, maintaining accurate profiles, researching schools and communicating with college coaches.
Is AI replacing college sports scouts?
No. AI can help organize information and analyze certain performance metrics, but coaches and scouts still evaluate athletes, build relationships and make recruiting decisions. AI is a tool that can support their work.
Take the Next Step in Your College Recruiting Journey
AI and analytics may change how coaches evaluate talent, but successful recruiting still starts with preparation, communication and finding the right college fit.
NCSA College Recruiting helps student-athletes build recruiting profiles, discover potential college matches and connect with college coaches. NCSA recruiting coaches help student-athletes and families navigate the process with step-by-step personalized guidance. IMG Academy+ can help student-athletes improve their mental performance and nutrition to become more recruitable athletes.
Whether you’re just starting the recruiting process or narrowing down your college list, having accurate information and a clear plan can help you take the next step with confidence.
Create your free NCSA recruiting profile or connect with an NCSA recruiting expert to explore your college opportunities.
