- 849
- Oregon
- GTP_amarynceus
1 and 2, ideally 3, but not as fussed on the latter. :3 The Coupe part is important, though. No sports sedans!
1:35.761 -- Lotus Evora '09 (old time 1:36.846)
1:37.308 -- Hyundai Genesis Coupe 3.8 Track '13
1:37.712 -- Nissan SKYLINE Coupe 370GT Type SP '07
1:38.650 -- Audi TTS Coupe '09
The Audi is a bit too slow, perhaps, but the Skyline and the Hyundai are going on the list of potentials.
👍
A 6 second spread at Laguna Seca between fastest & slowest of 20+ cars at 450+pp is nothing.
The issue would be if the next faster car was relatively different than others. - the gaps between the cars should be fairly equal.. with any larger gaps occurring lower in the list.
IE: you have gaps, you have the smaller gaps between #1, 2, 3... and if the gap increases at all, it should be at #9, #10... the cars that come into play when there's a lot of cars on track.
I know everyone's really worried about there being too much difference between cars in the ilst, but in application in the races, we all know that the difference isn't anywhere near as big as you believe it would be on most tracks.
I'm more worried about the differences in top speeds in the fast cars. Which will be raced more often on the big tracks.
Much like with the Low Power list, which every track is a big track to the low power cars.
So top speeds should be integrated into the data for the faster car lists. (Like I did with the low power cars and traffic.)
ps: I agree that top speeds should play a part in choosing the cars. For list order, the lap time has to be the deciding factor though. But if a car's performance in a straight line is massively different than on a whole lap, some cars might just have to be cut.
As is noticed we don't have the Shelby GT350 '65 in any list, please share your views on that car, as i would really like to add it to a list. From my view it might fit in the Classic List, but might be too slow. It's really a great car, premium, maybe too tame for the Legends list.
With this in mind i would like to call all test drivers (@snowgt has done this already 👍) to note the top speed on a long straight, preferably on a high speed track. You can also test the top speed on SSRX. Or if anyone has a list of top speeds recorded from 1.09 on, please share. Top speeds have changed considerably, i don't know if they changed relative to one another.
A different thing:
As is noticed we don't have the Shelby GT350 '65 in any list, please share your views on that car, as i would really like to add it to a list. From my view it might fit in the Classic List, but might be too slow. It's really a great car, premium, maybe too tame for the Legends list.
Actually this refreshes my idea of a Classic Muscle Car List.💡
I have seen in any of those timetable txt files that someone had tested them in the past already.
Maybe the idea was cut due to some reasons. I don't know about this.
But this would actually be the potential list:
(...)
With the Shelby in it of course!
In the old days, I used to disagree about the spread of cars, but in the meantime I think you're right. The lists can surely have a spread of 10 seconds or so on a medium-long circuit (lap time maybe 1:45 or so).
Ok, for that purpose only it works perfectly fine.FYI: The top speeds at SSRX are mainly to find potential limiter issues in slipstream draft scenarios.
IE: DO not schedule a 1-make race with this car at Indy SS or SSR7!
(So this data is MAINLY for the host, and for people picking combos.)
Which is what I do. And as far as I saw, the top speeds are quite robust, as long as you get a halfway decent exit out of a turn - it doesn't need to be perfect. By the end of the straight, the speeds are asymptotically converging as the rate of acceleration slows down. They are just a helper to see, if there are oddities with a car maybe though.Unfortunately... there's no other easy track to test top speeds, because it all involves getting out of the turn before the straight properly. :/
Meaning that ONE person would have to do ALL the top speeds on ONE track for EVERY car in the list.... for that to be relevant.
I don't know of a way the spreadsheet can be used to suss out the gaps between cars. Maybe there is a way, but that would require @tarnheld because I just don't understand the mathcrobatics well enough to come up with something like that. And besides... I don't think it's necessary anyhow, as the person who comes up with the list is usually aware of the gaps of performance anyway.
Car List Ordering Mathcrobatics®
As i was involved in the crunching of the TT times of the 90's list and the Hot Hatch reordering, i caught a glimpse on the difficulty making these lists. The experience i got from these exercises was:
The ranking method of @watermelon punch takes all of this into account, but has the flaw that you need a full list of TT times for one driver/track combo, as the ranking for a subset of cars cannot be compared to another ranking of a different subset.
- It's easy to order by one tester/track combo
- It's hard to get a meaningful order by multiple testers/tracks (think of possible contradicting car orders of two testers)
- It's hard to extract any info more than the order of the cars, for example time differences depend on tester,track,etc.
With the new TTs in the club there was good data, but the old method didn't work cleanly with this, so we had to massage the data, and try to figure out how to fit this into the ordering. Various ways were tried, but all brought some form of bias into the ordering. So the task was to fight the bias and come up with a method that just works and can incorporate even just two extra TT times from two cars by one driver without blowing up.
So what is the most basic info we can extract from the TT times? It's which car is faster than another. For this you only need the two TT times of two cars. So if we go through all car pairings, and extract this info, we can give each car pair A,B a number of 1 if A is faster than B, and 0 if A is not faster than B. If we sum up this numbers for all driver/track combos, we get a table like this:
__A B C D ...
A 0 5 7 6
B 2 0 4 7
C 0 5 0 8
D 0 0 0 0
...
This is just a compact way to store the info "A beats B 5 times", "A beats C 7 times", "A was beaten by B 2 times" and so on.
Now we need the info how many times a comparison was possible for a car pair, because not every car pair has been tested by each driver on each track. So we need another table like this:
__A B C D ...
A 7 7 7 6
B 7 7 7 8
C 7 7 8 8
D 6 8 8 6
...
This table is a compact way to store the info "We have 7 TT times for car pair A,B, 6 TT times for car pair A,D, 8 TT times for car pair B,D" and so on.
Now we can divide each entry of table one by table two, to get a percentage value that says for each car pair "A beats B 5 times out of 7, that's 71%"
__A B C D ...
A 0/7 5/7 7/7 6/6
B 2/7 0/7 7/7 8/8
C 0/7 5/7 0/8 8/8
D 0/6 0/8 0/8 0/6
...
Now check out the rows: If you sum it up, the number tells you how many times a car was faster than all others.
For example car A: 2.71 times it was faster than all others.
And the columns: If you sum it up, the number tells you how many times a car was slower than all others.
For example car A: 0.29 times it was slower than all others.
______A B C D ...
______0.29 1.42 2.0 3.0
A 2.71 0/7 5/7 7/7 6/6
B 2.29 2/7 0/7 7/7 8/8
C 1.71 0/7 5/7 0/8 8/8
D 0.00 0/6 0/8 0/8 0/6
...
Subtract those two numbers of the car, and you get a measure for the fastness of the car against all others.
A: 2.71-0.29 = 2.42
B: 2.29-1.42 = 0.87
C: 1.71-2 =-0.29
D: 0-3 =-3
These numbers tell you the fastness of a car relative to the others, 0 means faster than half of the other cars, anything higher is faster than half of the other cars, negative is slower than half of the other cars.
So that is the new (world) order, i will stop here and let you digest that, hope somebody get down here!
Just some advantages:
- As there is only the counting of 'faster than' points, there is no bias of track length, number of cars done by driver, etc.
- It's easy to extract problematic cars, were more testing is needed.
- We can easily add other 'faster than' tests, for example top speed.
Which is what I do. And as far as I saw, the top speeds are quite robust, as long as you get a halfway decent exit out of a turn - it doesn't need to be perfect. By the end of the straight, the speeds are asymptotically converging as the rate of acceleration slows down. They are just a helper to see, if there are oddities with a car maybe though.
Yeah, just thought this up for illustration, this was not derived from real TT times.There's one mistake in your example though. The B/C values are wrong from the second matrix onwards. That's what threw me off at first, because the results then violate a couple of principles that the method should sustain. E.g....
The sum of element a(ij)+a(ji) = 1 always. (3rd matrix onwards, B&C violate that rule)
Yeah, just thought this up for illustration, this was not derived from real TT times.
Hey that's a good point! 👍 Right now there's a subtle error in my calculation, because i don't count a tie in TT times, but add that comparison to the total number of comparisons. That means a tie is actually counted as "slower than"!
And with that invariants, we don't need the final subtraction anymore. 👍
Thanks!
Actually, if all testers arrive at the same order of cars, you would get a result-series for the cars with increments of 1 (or 2 with subtractions). "0" for the slowest car, and "N-1" for the fastest. Any divergence from that series is an indicator that the result was not unambiguous and might need some study.
It's very rare that you would get the same time to 1/1000s, so there will always be a "faster than". Even if they turn out to be "the wrong way round", results from others should even that out.
There's so little data thus far for the Premium Sports Coupes, no need to worry about ordering for some time yet. 👍
Also, I'm saving up for that 20million cr. Ferrari now.
Actually, if all testers arrive at the same order of cars, you would get a result-series for the cars with increments of 1 (or 2 with subtractions). "0" for the slowest car, and "N-1" for the fastest. Any divergence from that series is an indicator that the result was not unambiguous and might need some study.
ANYONE:
a track with longer straight parts and/or hills (not a tight track)
Nissan Skyline 2000GT-B (S54B) '67
Honda Civic 1500 3door CX '79
Alfa Romeo Spider 1600 Duetto '66
Marcos Mini Marcos GT '70
(COMFORT SOFT)
ANYONE:
ANY TRACK
Isuzu Bellett 1600 GT-R '69
Alfa Romeo Giulia Sprint Speciale '63
(COMFORT SOFT)
ANYONE:
a bigger track with longer straight parts (not a tight track)
Renault R5 Turbo '80
Mercedes-Benz 300 SL Coupé '54
(COMFORT SOFT)
ANYONE:
ANY TRACK
DMC DeLorean S2 '04
Dome Zero '78
Chevrolet Camaro IROC-Z Concept '88
(COMFORT SOFT)