- 28,471
- Windsor, Ontario, Canada
- Johnnypenso
The rate of chassis degradation in the GT series has always been a bit of a mystery IMO. I often see posts saying people can feel it in a few hundred km's and other opinions that it's 10k kms + before it kicks in. An easy way to test this is with Bob using BSpec races that are spammed over and over. We can simply record our race winning times and Bob's mileage while making sure to keep the oil fresh to remove that as a factor.
Here are some rules I think should be in place. If you can think of others feel free to suggest them.
1. The car must be exactly the same every race. No changes to tires, parts, tune etc.
2. Same commands to Bob every race at the start.
3. Change the oil every few hundred kms to make sure it's kept fresh and you are never down on hp.
4. You must win the race. Finishing second will distort the data because Bob will be held up by the lead car at times, distorting the lap times. If you lose a race, try again, and if you lose a couple or three in a row, then discontinue recording your race times and start again.
5. It would be preferred to find an event that Bob wins handily, so he's clear of the AI as fast as possible.
This is obviously fairly unscientific, but if we get enough data points we might be able to come up with something useful. Obviously there are other factors, but over hundreds and hundreds of race we should be able to rule out the influence of those variables.
Post your data in Google Docs if you can, if not, any simple manual chart will do.
Remember we need 2 data points, mileage (start or end of race is fine, so long as it's the same every time), and total race time (rounded to nearest minute). The more data points you collect the better your information will be.
Sample
10,454 8:57
10,621 8:56
10,741 8:59
10,799 9:01
Here are some rules I think should be in place. If you can think of others feel free to suggest them.
1. The car must be exactly the same every race. No changes to tires, parts, tune etc.
2. Same commands to Bob every race at the start.
3. Change the oil every few hundred kms to make sure it's kept fresh and you are never down on hp.
4. You must win the race. Finishing second will distort the data because Bob will be held up by the lead car at times, distorting the lap times. If you lose a race, try again, and if you lose a couple or three in a row, then discontinue recording your race times and start again.
5. It would be preferred to find an event that Bob wins handily, so he's clear of the AI as fast as possible.
This is obviously fairly unscientific, but if we get enough data points we might be able to come up with something useful. Obviously there are other factors, but over hundreds and hundreds of race we should be able to rule out the influence of those variables.
Post your data in Google Docs if you can, if not, any simple manual chart will do.
Remember we need 2 data points, mileage (start or end of race is fine, so long as it's the same every time), and total race time (rounded to nearest minute). The more data points you collect the better your information will be.
Sample
10,454 8:57
10,621 8:56
10,741 8:59
10,799 9:01
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