Blog Sports

How the University of Miami Used Player Tracking to Peak During the NCAA Tournament

For the first time, the University of Miami has made it to the NCAA Tournament’s Final Four, thanks in part to KINEXON Sports player tracking data. This data has been instrumental in preparing the Hurricanes’ athletes for the competition. Tommy Otley, a Physical Therapist & Sports Scientist for the university’s basketball program, has shared insights into their training programming, highlighting their approach to enhancing athlete performance.

The University of Miami Men's Basketball Team Used Player Tracking To Reach The NCAA March Madness Final Four

The University of Miami's Path to the Final Four

Author: Philipp Lienemann

The common denominator for Miami’s success in the tournament has been their ability to change gears in the last third of the game – outworking, outpacing, and outshooting their respective opponents when it mattered the most.

In the first round against the Drake Bulldogs, the Hurricanes switched to a full-court press to turn around the game in the last five minutes. The Indiana Hoosiers were outrebounded by Miami, led by an incredible performance of Norchad Omier (17 Rebounds!) who made his presence felt on both ends of the floor.

In the Sweet 16, midway through the 2nd half of the game against the Houston Cougars, Miami turned up the heat with an 11 – 0 run and continued to make important stops on the defensive end from which the Cougars couldn’t recover.

Similarly, the Texas Longhorns were already leading by 12 points midway through the 2nd half, but still fell short of closing out the game. Instead, the Hurricanes embarked on a 23 – 7 run led by man-of-the-match Jordan Miller (27 PTS, 7/7 FG, 13/13 FT) to turn around the game once again.

They finished the game with an incredible shooting performance of 59.2% from the field but an even more important 87,5% (28÷32) from the free-throw line of which they made 1314 in the last 4 minutes of the game. The Miami Hurricanes kept their calm and performed at their best when it mattered the most.

Get All Shots in Practice Counted and Analyzed ​ by the First AI-based Basketball Analytics Software

Communication is key. The information must be provided in a clear and efficient way that is understood by the respective coaches. If coaches understand the importance of modulating volume, intensity, frequency, and duration factors in on-court training it’s a lot easier to speak to where we stand from a metric perspective.”

Tommy Otley, Physical Therapist & Sport Scientist, Women’s & Men’s Basketball, University of Miami

Peak Sports Performance at the End of a Game

To be able to do so in the final moments of the game, studies show that athletes need to rely on their ability to perform at a high level while tolerating increasing levels fatigue. It is the athletes’ resilience to a variety of external stress factors, physically & mentally that can make all the difference.

Playing a crucial part ithe women’s and men’s sports performance training programming at the University of Miami, one of Otley’s tasks is particularly important. He provides the Hurricanes’ coaches and sports medicine staff with actionable insights based on KINEXON’s player tacking data to help make informed decisions.

Division I Basketball Player Tracking

Division I basketball is made up of an elite group of players. At the University of Miami, Tommy Otley is is part of a team determined to prepare athletes to peak at the right moment. He also participated in a recent KINEXON webinar From Insights to Action: Leveraging Data to Improve Load Management.“

In our question and answer session, he explains the benefits of player tracking and athlete monitoring data. He also discusses how KINEXON supports the planning process of adequate training programming and how he and his team make sure every athlete can perform at their optimum. 

Feel free to watch this webinar on-demand, or contact us at any time with questions you may have.

Watch The Player Tracking Webinar

Tommy Otley, Physical Therapist & Sport Scientist for the University of Miami's Women's & Men's Basketball program

How "The U" Uses Player Tracking Technology

Tommy, what is a major benefit of adding data to your team’s sports perfomance training program?
It helps us maintain a level of objectivity and contributes to having a shared language despite our differences in background and professional education tracks.


With many people contributing to training plans, how do you build common ground?
Communication is key. The information must be provided in a clear and efficient way that is understood by the respective coaches. Plus, how we plan to use the data must fit our system and goals. If coaches understand the importance of modulating volume, intensity, frequency, and duration factors in on-court training it’s a lot easier to speak to where we stand from a metric perspective.


Where does KINEXON fit in?
We use KINEXON’s PERFORM IMU in both a feedforward and feedback approach. We discuss the plan for on-court exposure before each week. Then, we use the data to quantify what the exposure looks like throughout the week compared to our plan and adjust accordingly.

KINEXON’s sports performance data also complements our other athlete monitoring techniques such as force plate jump testing to further determine how we can optimize our athletes’ performance. It’s all about how we optimize readiness around our on-court exposure and weight room training to be best prepared for competition.

Can you share some insights on the planning process of your training programming?
A systematic approach in communicating with the stakeholders who make decisions is key. It is important that everyone shares the same vision of how to integrate and make adjustments. 

Now that we have historical reference data from our non-conference and conference schedules, we have a good idea of what typical weekly ranges for different metrics look like for our team as well as individual players. When we have a competition-dense week coming up, we discuss this in our meeting and give straight forward feedback as to what types of practices we should plan to have around the competition.

It is not as easy as saying this day should be hard and this one easy. When planning practice, the coaches are working on scouting the competition, working on our own offense/​defensive approach for the game, individual player needs, as well as considering the physical demands of the exposure. Understanding the coach’s approach to preparation for competition and how and where it is possible to adjust is key to being able to integrate appropriate modulation in training volume/​intensity in season and around periods of frequent games.

How do you manage your athletes game exposure and keep them engaged?
For example, quantifying load for high and low-minute players is vital to helping ensure we provide the latter with appropriate opportunities for exposure. Ideally, we train everyone to meet the demands they would experience in a high-minute situation. However, the schedule and competition exposure opportunities narrow down our options.


How do you counter?
We aim to integrate additional work for our lower-minute players to bring them up to the next tier of availability. We train a player who sees 3 minutes on the floor to the level of one who sees 10 – 15 minutes or one who usually plays 15 minutes to the level of 30 minutes or higher.
That way, when a rotational player slides into a higher role due to improved performance or a starter’s injury, they are physically adapted to the on-court demands and ready to play at a higher volume of competition exposure.

Is there nuance regarding exposure, or is it all about matching intensities?
There is a difference in ensuring a low-minute player has the same total volume as a high-minute player versus having the same type of exposure. Shooting for an hour after practice may bring a low-minute athlete’s Accumulated Acceleration Load (AAL) up from the jump component. However, the movement profile differs from the type of exposure our high-minute guys get in-game.


How do you modulate practice to adjust for those differences?
Ideally, we would organize game-like or live-play situations with coaches or GA’s to help them make up for the some of the competition type exposure they are missing. Usually our low-minute players have some scout type exposure pre-practice, and we often incorporate some half-court 3v3s to help bring up specific aspects of exposure the day after a game while our high-minute guys walk through or have a pure shooting exposure.


What are some of the benefits of this approach?
They benefit in two ways: we bring up their direction changes, exertions, high-intensity distance and other physical demands closer to competition. Secondly, they get exposure to decision-making and live-play preparation, which they often miss on competition days.

Philipp Lienemann’s Guide to Player Tracking for Division I Basketball

More stories

Influence of the Menstrual Cycle in Team Sports – What Sports Need Now

Professionalization also brings with it more performance, more strain, and more pressure. For female athletes, this still means an increased risk of injury. The reason: individualized training and workload management must take the hormonal cycle into account. Studies on this are accumulating, but a challenge remains. 

Inside Stony Brook Athletics: The Benefits of a Multi-Sport Data Analytics Provider

Stony Brook University, known for research excellence, has upgraded its athlete performance monitoring and player safety efforts with KINEXON technology. We spoke with George Greene (Senior Associate Athletic Director of High Performance) and his team about their work to optimize training and enhance sports performance insights.

Basketball Load Data Header
Load Management in Basketball: When Does Player Tracking Become Financially Beneficial?

Player load tracking in basketball: How does data-based injury prevention, like reducing Jumper’s Knee, become financially beneficial for clubs?

SD Eibar uses football software to improve player performance.
GPS Data Boosts Player Performance, Motivation and Coaches' Confidence in SD Eibar Women's Club

To better manage player load, the SD Eibar’s women’s football team switched to a data-driven strategy powered by GPS. It’s a move that their physical trainer, Ismel Mazola says, led to more confident coaching decisions and motivated his players.

Texas A&M University Women's team uses basketball datasets, analytics, and metrics to monitor player performance.
How Basketball Data Helps Guide Texas A&M Women's Team to Early Conference Wins

After the holidays, many teams struggle to get back on track. But not Texas A&M Women’s Basketball. Their Strength and Conditioning coach uses data and analytics to avoid a slump and start fast in conference play.

Handball injuries are common, especially during matches, and a recent study sheds light on how often ligament injuries occur.
Study Reveals the Importance of an Injury Prevention Plan in European Handball

The competitive pressures and dense schedules in professional handball make injuries common among players. The results of a 6‑year study not only highlight the need for an injury prevention plan but also suggest ways coaches can develop one.

How German Handball's S&C Coach Used Data to Cut Knee Injuries by Almost 20%

Dr. Simon Overkamp, the head of strength and conditioning for the German Handball Federation, employs a data-driven strategy that not only keeps his players rested but also reduces knee injuries. And the Olympic Games play a crucial role in his approach.

Appalachian State’s Coaches Use GPS Football Technology to Manage Player Loads in Real-Time

Live GPS football data helps keep players fresh for game day. Just ask the Director of Performance for the Appalachian State Football team, Matt Greenhalgh. He shares what he thinks are some of the most critical load management metrics in the game.

A study found that agility in basketball can be influenced by exercises that also improve change of direction.
Why Basketball Agility Drills Should Focus on Improving Vertical Jump Height

New research is shedding light on the importance of improving vertical jump height in basketball. Backed by data, these findings are an eye-opener for coaches because researchers say jump height can positively affect other facets of a player’s game.

handball analytics from LPS player tracking systems were used in a study to find quality scorers.
How LPS Data Helps Handball Coaches Find Quality Scorers with New Insights

Researchers used LPS data and machine learning to create a new model for predicting goals in handball. It’s now helping coaches identify their quality scorers and develop better strategies. Here’s how. 

Basketball video analysis software is used to improve the amount of contested shots players take.
Innovative Strategy Boosts Player’s 3-Point Accuracy to 60% in Conference Games

Do you have players struggling with contested 3‑point shots? Get to know a college coach with a proven method to boost shooting efficiency for high-intensity shots in as little as four weeks. 

a gps football tracker monitors college players' workloads to decrease the risk of hamstring strains.
Research Exposes What Puts College Football Players at Risk for Hamstring Strains

Hamstring strains are common among male college American football players. Researchers have been investigating potential risk factors to better understand and prevent these injuries, and they believe they have identified three that all coaches should track.

Phillip Tandrup Holm is the Strength and Conditioning Coach for Skjern Håndbold, a Danish handball club he used to play for.
Former Handball Pro Shares His Personal Must-Know Metric for Coaches

Call it inside information, but a former pro handball player, who is now a strength and conditioning coach, says one metric seems to stand out when it comes to load management in handball.

Arizona State women's volleyball team discovered with analytics that his team was practicing too long.
How Volleyball Metrics Helped Power Arizona State University to a Record-Setting Season

The Arizona State University Women’s Volleyball team used data to determine their optimal practice length, and it culminated in one of their best seasons in school history.

the university of arizona sports performance training team collects data on all of their players to make sure everyone is ready to play when called upon.
The Secret Behind The University of Arizona’s Sports Performance Training Methods

Two key figures in the data-driven revolution at the University of Arizona are Jim Krumpos and Dayannara Munoz. They say there are three critical factors that make all the difference in their data collection efforts and training style.