Loved the analogy of athlete profiling to picking a video game character😅it really does bring to light the strengths and weaknesses of the athlete in an easily comprehendible manner!
It was great to get a bit more information on ratios and ways that you can use the data collected for specific goals. Being able to see the data and understand these concepts a bit more has gotten me thinking about so many research questions. Good stuff!
Thank you for clarifying what RSI is and how it can be implemented to understand the connections between jump height, time to take off, and contact time.
Good day Dr. Goodin, I really liked the ratio’s part, as I believe they can provide valuable information about the strength characteristics needed to be emphasized by individual athletes, although I believe it’s also important to consider the absolute values to make sure the ratios are going to be useful (e.g. athlete its strong enough to benefit from power training emphasis)
This was very informative and necessary in developing an overall better athlete. It is clear that understanding performance norms and developing proper benchmarks for a team/athletes (and tracking) is critical in ultimately becoming better athletes and successful in their sport.
Hi, Dr. Goodin. Thank you for providing all these definitions and examples for key terms. It really helps since I am not familiar with sport science or using some assessments. Thank you!
Great lecture Dr. Goodin! It was really interesting to hear in-depth descriptions about a lot of the words we hear thrown around in the athletic performance world!
I like how you stated the process form establishing norms to testing athletes, and how important it is to standardize and ensure the quality of the testing in order to get the best results.
Dr. Goodin, Thank you for providing us with this lecture! I really enjoyed how you expanded on your radar plot / spider graph examples. They really help paint the picture of the Need's analysis and how an athlete dashboard should highlight efficiencies and deficiencies. They especially highlight the importance of benchmarks as athletes should always be aware of why they are training certain methods or what the goal is specifically for them. Thank you!
I appreciate how you mention its important to work with strength coaches on team norms! Always important to start with a needs analysis and learning to create a good needs analysis is great.
I like how you mentioned that vertical jump height can differ depending on how it's tested. This alludes to the importance of making sure there is similar methodology when looking for normative data. Thanks!
Dr. Goodin, thank you for the educational video! I understand testing data much more after watching this video. One question, higher RSI is better correct? If you have an athlete doing a CMJ test, do you tell them to try and jump as fast as they can? Or do you just let them do what is natural?
Dr. Goodin, I really enjoyed the lecture and do have one question. Since each sport has such different demands for strength, power, and endurance, what would you say would be the best benchmark or benchmarks to perform with athletes that would be applicable for most sport settings? Or would you always be adjusting the benchmark tests to each sport, I would imagine more "custom" benchmark testing for each sport would be most beneficial? Thank you!
Isn't the "Strength: 1RM testing" slide showing the opposite of what the presenter said? Looks like perf capability plateaus during strength association, requiring much more weight to get a performance benefit, whereas you only need a little gain in the strength reserve to gain performance capability. It even says "point of greater performance benefits". It's an interesting slide, I would have thought the trend would always be a diminishing marginal return curve. Would be easier to see the outcome (performance capability) on the y-axis instead of x for easier interpretation
Not really. RSI = Flight Time/Contact Time, so contact time impacts RSI more than flight time (a proxy for jump height). Both can affect it, but contact time has a greater impact being the denominator.
![일상 속 기분 좋음 [Proto disco meme]](http://i.ytimg.com/vi/DwmEIaZ7XGQ/mqdefault.jpg)
Loved the analogy of athlete profiling to picking a video game character😅it really does bring to light the strengths and weaknesses of the athlete in an easily comprehendible manner!
I like the step by step process of establishing performance norms and the emphasis on importance of test quality and the impact it can have.
It was great to get a bit more information on ratios and ways that you can use the data collected for specific goals. Being able to see the data and understand these concepts a bit more has gotten me thinking about so many research questions. Good stuff!
Thank you for clarifying what RSI is and how it can be implemented to understand the connections between jump height, time to take off, and contact time.
Good day Dr. Goodin, I really liked the ratio’s part, as I believe they can provide valuable information about the strength characteristics needed to be emphasized by individual athletes, although I believe it’s also important to consider the absolute values to make sure the ratios are going to be useful (e.g. athlete its strong enough to benefit from power training emphasis)
This was very informative and necessary in developing an overall better athlete. It is clear that understanding performance norms and developing proper benchmarks for a team/athletes (and tracking) is critical in ultimately becoming better athletes and successful in their sport.
Thank you for another great lecture Dr. Goodin. My understanding of specific tests and the associated benchmarks and ratios is much clearer now!
Hi, Dr. Goodin. Thank you for providing all these definitions and examples for key terms. It really helps since I am not familiar with sport science or using some assessments. Thank you!
I like how you explain the process of different athletes having certain vertical jump.
Great lecture Dr. Goodin! It was really interesting to hear in-depth descriptions about a lot of the words we hear thrown around in the athletic performance world!
I like how you stated the process form establishing norms to testing athletes, and how important it is to standardize and ensure the quality of the testing in order to get the best results.
Dr. Goodin,
Thank you for providing us with this lecture! I really enjoyed how you expanded on your radar plot / spider graph examples. They really help paint the picture of the Need's analysis and how an athlete dashboard should highlight efficiencies and deficiencies. They especially highlight the importance of benchmarks as athletes should always be aware of why they are training certain methods or what the goal is specifically for them. Thank you!
Great Lecture! the Radar graph explanation made a confusing looking image so much clearer to understand!
I appreciate how you mention its important to work with strength coaches on team norms! Always important to start with a needs analysis and learning to create a good needs analysis is great.
I like how you mentioned that vertical jump height can differ depending on how it's tested. This alludes to the importance of making sure there is similar methodology when looking for normative data. Thanks!
Dr. Goodin, thank you for the educational video! I understand testing data much more after watching this video. One question, higher RSI is better correct? If you have an athlete doing a CMJ test, do you tell them to try and jump as fast as they can? Or do you just let them do what is natural?
Dr. Goodin,
I really enjoyed the lecture and do have one question. Since each sport has such different demands for strength, power, and endurance, what would you say would be the best benchmark or benchmarks to perform with athletes that would be applicable for most sport settings? Or would you always be adjusting the benchmark tests to each sport, I would imagine more "custom" benchmark testing for each sport would be most beneficial? Thank you!
very nice lessons
You are a legend 🥹🤝
Isn't the "Strength: 1RM testing" slide showing the opposite of what the presenter said? Looks like perf capability plateaus during strength association, requiring much more weight to get a performance benefit, whereas you only need a little gain in the strength reserve to gain performance capability. It even says "point of greater performance benefits". It's an interesting slide, I would have thought the trend would always be a diminishing marginal return curve. Would be easier to see the outcome (performance capability) on the y-axis instead of x for easier interpretation
Years of Pokémon training about to come in clutch here
higher the jump = higher the rsi ?
Not really. RSI = Flight Time/Contact Time, so contact time impacts RSI more than flight time (a proxy for jump height). Both can affect it, but contact time has a greater impact being the denominator.
@@ATHLETE.X yes i am aware of that, i was quoting Dr. goodin in this lecture. so he can clarify it to the viewer.