Approaches and level of analysis of the physical demonstration of professional soccer players. Level 6 (part 5).
Today I'll introduce the Adrian Gray metabolic power approach (Gray and col. 2011. Energetic analysis of running demands in australian football using global positioning systems technology. PhD Thesis), to which I have had the fortune to have access to it (thank you Adrian!).
This alternative metabolic power approach, that has not yet been extensively applied (done that the more important international GPS systems based brands are using the Di Prampero approach), has its own characteristics that are essentially different from that of Di Prampero.
Gray propose an approach based on the calculation of mechanical work to obtain the the metabolic power, basically horizontal and vertical work, work against air resistance and limbs work. But what it's really interesting is that both approaches, with so different ways of calculating, gives very similar average data when applied to a specific task analysis. In fact, Gray uses the same metabolic power zones.
After the short introduction, and in order to better understand the differences that each approach "offers", I present you a graph in which you'll see the metabolic power data of both approaches applied to a game action, also with velocity and acceleration data.
In this action, in which the player perform 3 consecutive CoD with some sprints of different duration, you will be able to distinguish and understand the differences of each approach, that basically are related to the "weight" that each one puts to acceleration and velocity portion of the sprint.
Enjoy,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 6 (part 4).
We continue this week with Di Prampero approach to metabolic power analysis, looking at the comparison between the mechanics of running on a slope surface at constant velocity and an accelerated level run. This basic approach to the issue is then applied to the analysis of italian professional soccer games, and just gives us a basic comparative on the implications of doing the analysis with a traditional velocity and distance approach, in which there is a little % of total distance ran of higher intensity (velocity), or with the metabolic power approach, in which the % of higher intensity performed by the players is much more elevated.
All the graphs and information has been used with permission of the authors, and it comes directly from the Colli's group, in Italy, who are doing a really great effort in giving a different view of the issue of specific conditioning.
Stay tunned!
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 6 (part 3).
With this post I'll introduce the basic concepts to the metabolic power approaches, that under my actual knowledge are two: the known and proposed by Di Prampero (2005, 2009) and applied by Osgnach and col. 2010, and the probably less known proposed and applied by Gray 2011.
Both approaches are really interesting, but what it's important (under my view) is that using different approaches, the results when applied to field data are very similar (not so when analyzing individual maximal actions ... but we will talk about this later).
So in today post, I'll try to introduce the essential concept proposed by Di Prampero for the analysis of the metabolic power. It's extracted from the papers related before.
Enjoy,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 6 (part 2).
Today I show you the second part of the introduction to the metabolic power approach to soccer conditional demonstration.
In it I comment something related to the different metrics generally used (which under my view should be further developed ...), and with it we let the path to the next post in which you'll see the two metabolic power approaches that, under my actual knowledge, actually exist with a scientific background (international scientific paper or PhD thesis).
Stay tunned!
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 6 (part 1).
We arrive today at the 6th (arbitrary) level of analysis of conditional demonstration analysis and approaches of soccer players.
In this level we will talk about the metabolic power approach, as a general concept, and about some of its characteristics.
In this first intro post (there will be a second intro part) I will introduce the general trends of what we are going to talk, but there is of special importance to know some of the limits that affect each approach, and ...
Stay tuned!
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 5 (part 8).
As the title says, I show you today some data related with the average duration of actions and pauses phases during professional soccer friendly games.
As commented during the videopost, remember that with this, and maybe with all sort of information presented in any study, it's of paramount importance to be cautious not only in how we use the info presented, but before this point, to be aware of the fact that depending on the methodology used for capturing the data, and specially the characteristics of the technology used, hard and software, we will find differences between studies, and sometime big differences which can send us to different "paths" when trying to use/apply them to day a day training.
In this sense, I have explained before the methodology used in the approach, and also some of the limits that present.
As an example and under my knowledge, directly linked with today's issue (duration of pauses) none of the known main international GPS system brands give us directly this info, so it means that we have to obtain it using our algorithms. But what it's really relevant is that under the same brand, depending on the version of the software, and as it changes the algorithm used to offer the actions duration, based on the changes of the characteristics of how the hardware captures the data, the result of the analysis changes!!!
Yes, what you read. So you can imagine the difficulty and the attention we have to put in our analysis when comparing data coming from different sources, methodologies, GPS brands, software versions ...
Appart from that, also remember that this data is the average of some friendly games monitored, so it means that in the analysis is also included the time when the game is stopped.
Enjoy,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 5 (part 7).
Following the last post in which I showed the data of the intensity of the soccer friendly games actions based on the speed demonstrated by the professional players of an Spanish team, you will see today the same approach based on the acceleration data.
In it you will find the average data of the intensity of the actions based on acceleration for soccer games, analyzed int two ways: the average of the maximum acceleration demonstrated by each player during each game (so data coming from just one action, the maximum acceleration one), and the average of all the accelerations demonstrated by each player in each game (so data coming from all the actions performed during the game). You will have the opportunity to compare it with the maximum value of acceleration (average for all the players of the maximum acceleration attained by each player during the season) for the team, so you can make your own conclusions ... if you want to share, they will be welcome!!!
Remember that all data we are using in this short of analysis highly depends on the system used, its specific software, the algorithms used, the filtering process of the raw data obtained, ... so have this in mind.
Enjoy,
