NCAA WOMEN’S BASKETBALL TEAM TRACKS SPRINTS USING STRIVE TECHNOLOGY

PURPOSE

Understanding game workloads allow coaches better insight into the demands of Women’s Basketball at the NCAA D1 Level. Coaches look to prescribe training loads in the gym and on the court through progressions that appropriately prepare athletes to perform during matches. Most team sport that require demands of intermittent exercise include the ability to perform through high-intensity bouts of high-speed running. The purpose of this case study was to capture, analyze and visually prepare data to better understand sprinting demands of Division 1 Collegiate Women’s Basketball.


BACKGROUND

Strive is a performance tracking wearable technology system seamlessly integrated into compression shorts for both female and male athletes utilize in all training settings. The garments are comfy, can be embedded in whatever brand the team desires, and can be fitted on any size. This technology utilizes Inertial Movement Analysis (IMA) to quantify your movements indoors and outdoors, electromyography (EMG) to track muscle outputs of the quads, hamstrings and glutes, Heart Rate HR and Speed + Distance analysis. Connecting these data points allows Strive to assist teams with analysis to answer questions regarding force, fatigue, accelerometry, symmetry, recovery, and injury data. This data is analyzed and reported back through our extensive Sports Science team who is constantly keeping up to date on current research to provide the best insights and help the process of making informed decisions between the performance staff.


MATERIALS & METHODS

Strive Technology was worn during practices, scrimmages, and conditioning sessions. The data is collected Live in a “PUCK” at the front of the garments that can be downloaded through Strive’s Data Capturing Application via Bluetooth. This capturing platform allows you to control, analyze and compared data between sessions, players, teams, etc. Data was collected and uploaded by the team’s Performance staff at the end of each session but can also be viewed LIVE during the session. Sprinting data was captured through the device from the start of pre-season until the game on January 2nd . This data was downloaded into the application, exported into excel and then analyzed through PowerBI as a visual. Metrics captured were number of sprints 11 mph or greater, total distance (mi), length of sprints (sec), and sprint speed (mph).

RESULTS

Year long graphs of number of sprints per positional group and total distance were outlines to show increase and decrease trends.

STRIVE sprint1

Averages of both total distance and average sprints were compared to show high/low intensity periods compared to high/low volume periods by weeks.

STRIVE Sprint2

Out of the 12 games captured, each had 1 or more days (-3, -2, -1) of total distance or number of sprints 11+ that were 1 or more standard deviation away from the average.

STRIVE sprint3

Average game demands were also calculated between positional groups for total distance (Guards: 3 mi, Forwards: 2 mi) and sprints (Guards: 38.56 and Forwards: 19.45) to better understand positional requirements.

STRIVE sprint4

CONCLUSION

Tracking the demands of games and practices is important to understand the requirements of athletes. When S&C coaches look to work backwards from the demands of the game to periodize training, skill coaches should also look to periodize court-based training plans. Having deeper insights into practices, scrimmages and conditioning workouts will better equip coaches to make informed decisions. Utilizing Strive Technology allows coaches to see internal/muscle load and external loads, as well as IMA data to see how many standard deviations practice is off the average for that day (-3, -2, -1) leading into a game. Don’t guess what your practice should be, have markers to match that you know are successful for your teams’ style of play. This creates the ability to control preparedness and push for better chances to succeed.

WHITE PAPERS & CASE STUDIES

If you’re looking to dive deeper into the STRIVE Platform, review the literature below illustrating various use cases and research. 

NCAA WOMEN’S BASKETBALL TEAM TRACKS SPRINTS USING STRIVE TECH

PURPOSE
Understanding game workloads allow coaches better insight into the demands of Women’s Basketball at the NCAA D1 Level. Coaches look to prescribe training loads in the gym and on the court through progressions that appropriately prepare athletes to perform during matches. Most team sport that require demands of intermittent exercise include the ability to perform through high-intensity bouts of high-speed running. The purpose of this case study was to capture, analyze and visually prepare data to better understand sprinting demands of Division 1 Collegiate Women’s Basketball. 

BACKGROUND
Strive is a performance tracking wearable technology system seamlessly integrated into compression shorts for both female and male athletes utilize in all training settings. The garments are comfortable, can be embedded in whatever brand the team desires, and…

ASSOCIATION BETWEEN FATIGUE AND GAME PERFORMANCE

DESCRIPTION
Tracking metrics like speed, distance and accelerations can reveal patterns in practices and games that allow coaching staff to make adjustments.  In addition to those metrics, one team wanted to understand the amount of effort players exerted throughout a week leading up to a game. The team employed STRIVE to track both the external metrics as well as the muscle EMG activity.

RESULTS
STRIVE worked with the team to analyze the results and found an interesting early correlation: The overall fatigue of the team, which compared how hard the muscles worked to produce the accelerations, directly correlated with the how well the team performed in the game. Essentially, the team performed below their potential when the players approached fatigue the week leading up to a game.

MONITORING INTENSITY OF GAME VS. PRACTICE

DESCRIPTION
How can coaches structure their weekly practices to better prepare for a game? One team wanted to replicate drills that produced similar game-time intensity that would allow them to structure their practices to optimize performance.  With the help of STRIVE, they collected millions of data points across jumps, distance and accelerations to see what insights they could capture before games.

RESULTS
By analyzing the practices and non-conference games at the start of the season, the team identified how the opponent’s style of play impacted their player’s metrics. Using this information, the team made adjustments to their weekly practice schedule in an effort to get the same results in practice as on game day.

CHANGES IN PLAYER LOAD? SYSTEMS INTERROGATION

ABSTRACT
The purpose of this paper is to evaluate the use and utility of Sense3, a sensor system embedded in compression shorts that measure kinematic changes, muscle activation and physiology in elite athletes.

THE PROBLEM
Elite sports teams have been monitoring athlete loads through wearable technology for close to 10 years, yet most leagues and teams have yet to see a quantifiable reduction in athlete injury or a significant change in performance-based outputs. In many cases, the technologies provide a singular load metric “score” indicating a difference from game to game- or practice sessions. Practitioners are left to make “inferences” on why the score changed, without forming a direct rationale as to which biological system…

DESCRIPTION
As the player started return-to-play protocol, the team asked STRIVE  to re-assess his efficiency. The goal was to replicate the pre-injury practice session and identify any significant changes that could impact his recovery.

RESULTS
Before the injury, the player was found very efficient likely due to his conditioning to recovery balance. When STRIVE re-assessed the player post-injury, it showed that the internal load drastically increased even though the external load stayed consistent causing his efficiency to decrease nearly 40%.

DESCRIPTION
There are an average of 176 hamstring injuries each season in the NFL. Once a player sustains an injury, they are more prone to re injuring the same muscle. Players with hamstring injuries miss an average of 13 days depending on the severity.  While practicing return-to-play protocol for hamstring injuries, one NFL team used STRIVE. Taking into account body composition, position, left vs. right dominance and previous injuries, STRIVE discovered how certain exercises affect specific muscle groups differently on individual players.

RESULTS
With this finding, the team worked collaboratively with strength coaches, athletic…

STRIVE'S CAPTURES REPETITIONS OF 400 METERS, ALL APPROXIMATELY 90 SECONDS

INTRODUCTION
Currently, athletic organizations relate “Player Load” as a metric of output. IMU tech measures the output of an athlete’s session and then a load is provided for use in comparison with the athlete’s body of data to detect longitudinal trends and outliers. This number is then used as insight into how hard a session was for an athlete in relation to all other sessions, and sometimes even used as an injury risk indicator.  In reality, the term Player Load is much broader than a simple movement score provided by an accelerometer. The amount of stress that an athlete’s body is under, influences the difficulty of a session. A movement score is not without value, and it plays an important role in the idea of a player’s load. However, there is additional context that is needed to fill out the picture that is true Player Load.

ANALYZING INTERNAL & EXTERNAL LOAD IN DIVISION I NCAA BASKETBALL TEAM

DESCRIPTION
Electromyography (EMG) is a diagnostic technique that evaluates and measures the electrical activity of skeletal muscles. The resultant amplitude of the muscles can help provide an approximation of internal load or how much work the muscles have done during an exercise period. With the noticeable uptick in the usage of wearable technology that measures external load, most strength and conditioning practitioners, athletic trainers, and other athletic organizational professionals are aware of the usefulness of an external load measurement. While the external load metric is useful in approximating the output of an athlete within an exercise session there is no accounting for the workload felt internally, by the muscles. One popular purpose of measuring external load is to reduce general fatigue and chronic stress. This is a reasonable…

VISUALIZING PERIODIZATION AND ITS EFFECTS ON AN IMBALANCE OF MUSCLE INPUT TO OUTPUT RATIO

INTRODUCTION
Periodization in sport is important. Seasons can be long and grueling, and an organization always needs to be aware of the fatigue status of its athletes. With the influx of wearable tech, the increasingly common way to monitor load status in athletes is to obtain an external load metric (traditional player load) and monitor it over the course of a season. This has worked well for visualizing periodization of athlete training. With an external workload quantified, teams now have a better idea of what a “normal” external workload is at an individual athlete level or a more general team level. This is a good start but is missing a key piece of information. When measuring external load…

EFFECTS OF FATIGUE ON INDIVIDUAL’S PERFORMANCE AND MUSCLE COMPENSATION

INTRODUCTION
Fatigue is the key driver in exposing weaknesses and deficiencies in athletes’ performance. Traditional methods have been inadequate in location weakness points and ensuing compensation when athletes enter fatigue stages. To mitigate further injuries, coaches have been working with players strengthening their muscles in symmetric ways, whether left to right, or posterior and anterior. To understand this better, we will look at the athlete who conducted six extensive drills as a part of a daily workout. In this example, we will discuss how fatigue affects this athlete and his muscle response during the compensation.

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