2026-06-20, 10:25 PM - Word count:
I have chosen to write an article about the methodology of testing tactics in the SSL partially to have a written record of my methods, and partially to see how they can be improved in the future by looking through an analytical perspective.
For this season of the SSL, I have taken it upon myself to be one of the main testers for the tactics of AS Masques Sacres, and have since tested multiple variables against multiple teams, and would like to find a way to make my methods more efficient, and as accurate as possible to the real outcomes of games. Of course, I am also new to doing this in the SSL, so any veterans reading this may see some of my observances as being simply common sense, but we all start somewhere.
My first set of testing was done in a more detailed fashion, where I took note of just about everything I could. The purpose of this first test was to find a working tactic that fit with our squad's positions, and a tactic to be entered for the preseason. This method was based on individual performances, so that I, entering a new team, could have an idea of the kind of performances I could expect from my teammates. Here, I measured wins, losses, goals scored in either direction, and xG, as well as the individual goals, assists, and match ratings. I also watched each goal scored and wrote down a quick description of each to see if I could find anything we could capitalize on, or any weaknesses to quell. I found this method to be successful, but it had the clear issue of taking a long time to enter data. in this testing, I could only measure around 5 games in a set amount of time.
My next set of testing was done for a tactical adjustment. We had a worry about our wings being easily exposed due to both fullbacks being rookies, and so I decided to test some solutions of this issue. In this case, I changed my method and opted for a shorter form of measurement that allowed for more games simmed. Here, I measured wins, losses, goals on each side, and how many goals came from the wing on each side, and the total percentage of goals coming from the wing. Using this method, I was able to sim twice as many games as I could previously, but it still took quite a while. Most of the time taken in this method was simply from watching the goals scored to determine if they came from the wing, but that was a necessity for this kind of testing.
As I test more, I will likely end up revisiting this post as a sort of slice in a time of my SSL career, and will hopefully end up updating as I learn more about mass testing for a league like the SSL
For this season of the SSL, I have taken it upon myself to be one of the main testers for the tactics of AS Masques Sacres, and have since tested multiple variables against multiple teams, and would like to find a way to make my methods more efficient, and as accurate as possible to the real outcomes of games. Of course, I am also new to doing this in the SSL, so any veterans reading this may see some of my observances as being simply common sense, but we all start somewhere.
My first set of testing was done in a more detailed fashion, where I took note of just about everything I could. The purpose of this first test was to find a working tactic that fit with our squad's positions, and a tactic to be entered for the preseason. This method was based on individual performances, so that I, entering a new team, could have an idea of the kind of performances I could expect from my teammates. Here, I measured wins, losses, goals scored in either direction, and xG, as well as the individual goals, assists, and match ratings. I also watched each goal scored and wrote down a quick description of each to see if I could find anything we could capitalize on, or any weaknesses to quell. I found this method to be successful, but it had the clear issue of taking a long time to enter data. in this testing, I could only measure around 5 games in a set amount of time.
My next set of testing was done for a tactical adjustment. We had a worry about our wings being easily exposed due to both fullbacks being rookies, and so I decided to test some solutions of this issue. In this case, I changed my method and opted for a shorter form of measurement that allowed for more games simmed. Here, I measured wins, losses, goals on each side, and how many goals came from the wing on each side, and the total percentage of goals coming from the wing. Using this method, I was able to sim twice as many games as I could previously, but it still took quite a while. Most of the time taken in this method was simply from watching the goals scored to determine if they came from the wing, but that was a necessity for this kind of testing.
As I test more, I will likely end up revisiting this post as a sort of slice in a time of my SSL career, and will hopefully end up updating as I learn more about mass testing for a league like the SSL
