Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 9).
And following the last post, in which we analyzed the collective conditional demonstration of professional soccer players during a pre-season game, based on the metabolic power approach, today I want to present you that same analysis, but done during an amateur in-season soccer game (a derby!).
Fortunately, players and staff agreed to go on with the game monitoring, in order to get some insight of their conditional performance, and how to use this information to modify some methodological characteristics of their training sessions.
Remember that in this video you are going to see the data of the first time of each game (am-pro).
After the analysis, you will see that, in this case, the basic difference in the collective conditional demonstration between amateur and professional soccer players is the interval time during which they are able to maintain a higher collective conditional exertion, that in professional soccer players is higher as an average.
Also, and directly related with it, professional soccer players show a higher amount of total time of higher collective conditional exertion during a game.
How to use this data: this is the key question! My proposal is that it depends on the target of the specific task used on training session: if the main target is developing the conditional structure of the players, then probably is more interesting to use lower interval durations, while if the main target is on tactical development, then probably is better to use longer interval duration on the specific tasks ...
There are more aspects to handle for a better use in the specific tasks programming, but this is another issue ...
Hope you enjoy!
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 8).
After having posted about some approaches for the individual conditional exertion analysis during soccer games, in the next two posts I propose you to see some data related to the collective conditional demonstration during soccer games.
In this post, we'll see this analysis done with data from a professional friendly pre-season soccer game, monitored with 1Hz GPS System, and using exported raw data to do the analysis.
Hope you enjoy,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 7).
Under the intermittent approach and using also data from the metabolic power approach, today we analyze the difference of some metrics between the game average and the average of the higher conditional exertion phases during the same friendly game for the same professional soccer player.
Not too much to say, done that the data and the graphic really talks by itself ...
Under my vision, this is a key point for not only better understanding the high conditional exertion that players are experiencing when playing games, but also for establish better models for analyze and select the (not only) specific tasks, based on the specific conditional demonstration during the games, but specifically focusing on those phases that probably represents a challenge for the player's conditional capability.
Hope you enjoy,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 6).
Today let's put the data previously analyzed in the intermittency equalizer ...
And we start using the game average conditional exertion data from all the friendly games (7 pre-season and 4 in-season) performed by a Spanish professional soccer team.
You will simply see the picture in which there is a comparison of the metrics used for the intermittent approach obtained as a game average, with the "supposedly maximum possibility expression" of that same metric.
This is the previous step to the next post, in which you will have the explanation of the comparison between this data with that of the higher conditional exertion phases previously analyzed ...
Enjoy,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 5).
After the introduction we did in the last post, today we continue with the comparison of the intermittent and metabolic power approaches between the data obtained from a spanish professional soccer player during the first time of a preseason friendly game, analyzed in two ways: using the average data from all the first time, and using the data from the higher conditional exertion phases detected based in this case on the HR of the player (remember: periods in which the HR reaches the 90% of the maximum HR of the player, but starting when the activity starts to rise previously to that point).
Hope you enjoy!
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 4).
After the Christmas holidays break, lets continue with some analysis of the higher conditional exertion phases during games with the example of an individual analysis of the first time of a professional spanish soccer preseason friendly game.
In today's post we are going to present the data obtained for that professional player related to the intermittency demonstrated during the first part of the game. Remember that this data comes from the monitoring with a 1Hz GPS System, and the phases of higher conditional exertion have been selected based on the analysis of the HR of the player (periods when HR is above 90% of individual HRmax).
Stay tuned,
Approaches and level of analysis of the physical demonstration of professional soccer players. Level 7 (part 4).
Today follows a summary of the analysis we are doing of the higher conditional exertion phases that one professional spanish soccer player demonstrated during a friendly preseason game.
Remember that basically I have selected those periods based on the cardiac output (detection of the periods where the HR reaches the 90% of the individual HRmax, and search when the HR has started to raise before arriving to this point), and that we are analyzing them under the metabolic power approach.
You will see the comparison between the averages of higher conditional exertion phases for each variable used with the average of the first time of that game ... At the end, we have to understand that our conditional target when training and preparing our players for the competition demands shouldn't be referenced by the average data obtained from all the game, but from the higher conditional exertion phases, that probably could limit their performance ... Maybe with this approach we could relate it better with fatigue and with the individual capability of "specific endurance", that under my view, maybe should be better addressed in soccer ...
Next post, for the new year, we will use the same data to de the analysis under the intermittent approach.
Enjoy the post, but above all, enjoy this period of time!!!
