How to get perfect setups in F1(r), Manager 2022 and a detailed explanation of how it works.
TL;DR: Website: https://f1setup.it/ – [f1setup.it]
Scroll down to find out more about the system and why it would work for you.
Zan Shi Mei You Jia Ru Zhong Wen Huo Zhe Qi Ta Yu Yan Zhi Chi De Ji Hua ,Bu Xiang Xie i18n
How to use the Calculator
- 1. Click the link to see your current practice setup
- 2. Practice Run and wait for feedbacks
- 3. After the run, choose the appropriate feedbacks.
- 4. Click "FIND A SETUP" for a suggested setup and to start over.
- It takes only 3-5 attempts to achieve 99%-100%!
How to Setup
Different setups can result in different car bias levels. A better car setup could lead you to better performance, which could translate into race wins and championships.
This table shows how a change in setup could impact the outcomes.
|Front Wing Angle||+||–||+||–||–|
|Rear Wing Angle||–||+||+||+||–|
|Distribution of Anti-Roll||–||+||–||+|
How do these setups work?
After collecting lots of datapoints, we were able to determine that the resulting bias was a linear function the input. This means that if you shift twice as long, the resulting biased would also be exactly doubled. This is the foundation of the analysis.
First, we normalize inputs and outputs to [0-1] range. This means that the leftmost value is re-assigned to 0, and the rightmost value is 1.
This table was created after a lot of pixel-counting.
|Initial (. Middle).||0.5||0.5||0.5||0.5||0.5|
|Front Wing Angle||0.4||-0.2||0.3||-0.15||-0.1|
|Rear Wing Angle||-0.4||0.2||0.25||0.25||-0.9|
This means that if we move 1 unit of Front Wing Angle, there would be 0.4 more units oversteer, 0.2% less breaking stability, 0.3 more cornering, 0.15 less traction, and 0.1 less straight, etc.
Feedbacks and confidence values
But what about feedbacks?
We could determine the bias value for any given setup by knowing the relationships between biases and setups. After many more trials, I finally figured out that –
(, which d is the difference between the perfect bias and)
Ideal: d = 0.007 (technically 39/5600 but 0.007 is between 39-40 so it would also work)
great: d = 0.04
Good d = 0.
Bad d > 0.1
Each bias metric is -1% for 0.01 differences, which is limited to 20%
If it is too high/low to be considered a specific metric it will only count as -20%.
These summaries make the total 100%, which is the Confidence value.
Conversion and Converting back
What if I already have a desired biased and want to know how I can get it?
The calculation of bias is technically based on linear algebra knowledges.
matrix multiplication – [wikipedia.org]
Which M =
We have (** R: Bias Result/ S: Setup)
SM = R
We could have a matrix product that is invertible and associative.
SM() = R(), which is R() = S
Since the matrix M is
Invertible – Wikipedia.org
It's simple to calculate M-1 =
S is not discrete in-game so the solution is theoretical and not immediately usable. However, it could provide some guidance that will require you to fine-tune your skills.
One advantage to being discrete is that you can enumerate all possible outcomes, which is accurate and efficient as there are less than one million possibilities.
What are you waiting for?
We already know how these configurations work because we have some constraints.
The last thing is to find the right setups out of all 952560 options that match these constraints.
Pick one of them and run again. The possibilities would be quickly reduced to one in 4-5 attempts which is extremely effective.
You could also run manual runs to set an initial value. This could yield even better results.
Hope you enjoy the Guide about F1® Manager 2022 – How to Use Calculator + Best Set Up, if you think we should add extra information or forget something, please let us know via comment below, and we will do our best to fix or update as soon as possible!
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