Brian Serrano, DC, PhD, CCSP, ATC, RSCC, CPSS
Sport Scientist/ Assistant Strength and Conditioning Coach
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Basic Stats in Sports 🏀 Science I took this problem from my linear stats class last week.What’s the difference between standard deviation (STDEV) and coefficient of variation (CV)??Problem: We have an athlete who has consistently been performing ‘poorly’ on the court and in the weight room. Our team currently uses Kinexon, Force Plates, and NordBord for assessments. What methods would you use to quantify this?1. Averages (means): This is a great start, because if tests are dropping then we know to dig deeper…but what if different tests reveal different findings, or if one test has improved while the other has decreased? Means do not allow us to compare across groups. 2. Standard Deviation: This method seeks to standardize scores which makes comparison easier. However, this method is best for comparing the same test within different athletes…thus not the best option for comparing different tests. 3. Coefficient of Variation: This method takes both the mean and STDEV to see how far each dataset differs from the mean. This allows us to compare data between groups more accurately. Using this example, we see that with this dataset, jump height is the most stable measure of performance and fatigue based the lowest CV value. If you only use average without accounting for magnitude, NordBord scores look like the most dramatic drops. 😳Statistics are scary and don’t need to be overwhelming. #athletictraining #athletictherapy #athleticperformance #athleticmedicine #strengthandconditioning #sportsperformance #sportsmedicine #sportschiropractic #basketball #basketballperformance #sportscience
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Brian Serrano, DC, PhD, CCSP, ATC, RSCC, CPSS
Sport Scientist/ Assistant Strength and Conditioning Coach
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Sports Science x Sports 🏀 Performance This sheet is a result of two years of my work and even longer for both Geoff and Matt.Combing all of our knowledge of strength + conditioning and sport science, we used machine learning to narrow down 134 Kinexon variables into 10-15 of importance for various outcomes. Statistical Method: Unsupervised machine learning > Dimensionality Reduction > Principal Component Analysis This document is NOT meant to be a definite list of important variables. Rather, it should serve as a baseline and comparison for clinicians and practitioners within Basketball who use Kinexon in their current workflow. Reach out if you would like a copy or have any questions!#athletictraining #athletictherapy #athleticperformance #athleticmedicine #strengthandconditioning #sportsperformance #sportsmedicine #sportschiropractic #basketball #basketballperformance #sportscience
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Brian Serrano, DC, PhD, CCSP, ATC, RSCC, CPSS
Sport Scientist/ Assistant Strength and Conditioning Coach
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Rehab x Sport Science My first PhD is in rehab science and I did this because that was my biggest weakness at the time, I was fascinated by wanting to learn how to take an athlete from injury back to their game. My second PhD is in sport science, because I wanted to learn how to use advanced statistics to add objectivity into the return to play model. Combing these two fields with this example using Kinexon data as the proxy. The goal is to hit 80% for today’s session before moving to full practice participation. Rehab 🔑 Sports Science#athletictraining #athletictherapy #athleticperformance #athleticmedicine #strengthandconditioning #sportsperformance #sportsmedicine #sportschiropractic #basketball #basketballperformance #sportscience
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See AlsoSteiner’s model for productivity: The equation for sport success | SIRC | BlogNorton Clark Hospitalsymptomatisch-perifeer-arterieel-vaatlijden/diagnostisch-proces/comorbiditeitReliability and Relationship between Hip Muscle Strength and Change of Direction Performance among Basketball Players1 Comment
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Annie Forest
Educator and Math Consultant
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Real world math!When we think about the math used in sports, we often think about data collected and used for statistics. But this article shares how data is used to help improve athlete performance! 📈
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Brian Serrano, DC, PhD, CCSP, ATC, RSCC, CPSS
Sport Scientist/ Assistant Strength and Conditioning Coach
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Data Audits As sports scientists (actually any field within sports) should do a macro and micro audit after each season.As the regular season just ended, we are starting to interrogate many things, one of them being heart rate recovery ❤️🩹. One method of interrogation is looking at how recovery stacks up at home vs on the road.Some things to consider:1. External Validity 2. Internal Validity 3. Ecological Validity 4. Feasibility Machine Learning x Basketball 🏀#athletictraining #athletictherapy #athleticperformance #athleticmedicine #strengthandconditioning #sportsperformance #sportsmedicine #sportschiropractic #basketball #basketballperformance #SportsScience
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Brian Serrano, DC, PhD, CCSP, ATC, RSCC, CPSS
Sport Scientist/ Assistant Strength and Conditioning Coach
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Readiness in Basketball 🏀 One challenge in professional basketball is obtaining consistent readiness data from players.If the modality of choice are force plates, then does the staff travel with them? Are they in the arena AND practice facility?If LPS tracking is the choice…is the staff tracking EVERY session (shootaround, game, etc.)My point is that as sports scientists we should be able to mix and match readiness data to overcome logistical challenges. One method I use are weighted, smoothing algorithms so running 1.5 miles can be compared to having an RR interval of 0.250 ms.Math x 🏀🏀 #athletictraining #athletictherapy #athleticperformance #athleticmedicine #strengthandconditioning #sportsperformance #sportsmedicine #sportschiropractic #basketball #basketballperformance #SportsScience
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Swetank Pathak
Sports Physiotherapist ▶ Sports Scientist ▶ Data Scientist ▶ Sports Analyst ▶ Python ▶ React ▶ React Native ▶ Next js
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Understanding Estimation in Sports Science: The Kalman FilterHow do we accurately track an athlete's performance bounded by noisy data? The Kalman filter is a powerful tool in sports science for estimation.The Kalman filter minimizes error and maximizes precision by continuously updating estimates based on real-time data, ensuring athletes receive optimal training and performance insights.#SportsScience #KalmanFilter #PerformanceAnalysis #AthletePerformance #DataScience #TrainingOptimization #SportsTechnology #Sports
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Athletic Path
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With AthleteID™, you have full control over what you want to share. Customize your card with: *Sport Stats*:Showcase your season’s stats, highlight reel, and special awards and acknowledgements*Academic Achievements*:Let your grades and academic accolades speak for themselves*Personal Touch*:Add a profile photo and an action shot
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Dr James Malone
Football Scientist | Consultant | Mentor | Helping football physical performance practitioners enhance their career through mentoring
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Do you use the French contrast method with your players?This method is proving to be increasingly popular due to the time efficient nature of the programme.The aim of French contrast training is to hit the various areas of the force-velocity curve in order to produce an acute adaptive response.Typically, this would follow the below sequence:1. Maximum force exercise2. Plyometric exercise3. Ballistic or speed-strength exercise4. Overspeed or assisted exerciseIn football, there is limited data showing the effectiveness of this method on physical measures.A recent study from Türkarslan (2024) showed significant improvements in vertical jump, 30m sprint, and dynamic balance values in professional senior players.Do you use the French contrast method and how do you like to programme it across the microcycle?Let me know in the comments below.
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Brian Serrano, DC, PhD, CCSP, ATC, RSCC, CPSS
Sport Scientist/ Assistant Strength and Conditioning Coach
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When it comes to tendon health monitoring and force plates, two variables that stand out to me are stiffness (indirect to the tendon) and peak power (how the system expresses itself. Using non-linear techniques to explore relationships between these two variables and potentially make programming for athletes.#athletictraining #athletictherapy #athleticperformance #athleticmedicine #strengthandconditioning #sportsperformance #sportsmedicine #sportschiropractic #basketball #basketballperformance #SportsScience
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VALD Performance
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The latest addition to Global Performance Insight's athlete testing series delves into the complexities of athlete asymmetries, exploring what they are, practical implications and the 'calculation conundrum.'Whether you are a coach, sports scientist or clinician, check out this video and others from Jo Clubb for valuable sports science insights and breakdowns. https://bit.ly/3IylfVe
Measuring Athlete Asymmetries: The 'Calculation Conundrum' https://www.youtube.com/
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