- 52
- Germany
- bys
Disclaimer- this is by no means a comprehensive study of the PP system, there are some flaws in the experiment and probably also in the write up! So please feel free to point them out and any comments and ideas are welcome. Also this is still on going, I will update if there in any interest.
If you just want the results (given a PP limit, which car is best?), scroll down to the red & blue lists, otherwise read on!
Let's start with the what - What are performance points? As the name suggests, they are numerical representations of the overall performance of a given car. The exact algorithm to compute the PP's is unknown, but it is most likely based on HP, weight, weight-distribution, down force and so on. However the specific relationship between these variables and PP's is not of interest here.
Rather, I wanted to investigate the "reliability" of the PP system -namely: Would two cars with identical PP's hold identical performance? And if not, which cars are more "efficient". Here we define efficiency as those cars which perform better than expected, for given PP's - this will make more sense later on.
How? Well the process is pretty simple, I chose a track (custom generated Toscana circuit*) and recorded lap times of cars with varying PP's. Then by plotting lap-time vs. PP's - not only can different cars of the same PP be compared, but we can also see the overall relationship between lap-time and PP's. I used the DFGT wheel, manual transmission, no driving aids apart from ABS (=1) and sport soft tires.
Now to get the issues out of the way -
(click for bigger version)
How to interpret the Graph - The green 'x' represents the lap-time achieved by a car at it's given PP rating. The blue 'o' represents power-to-weight ratio, where the bigger the circle, the more HP per KG. And finally the green line is the line of best fit and represents "average" PP to lap-time relationship. From here on we assume the sample size is large enough and the trend line accurately predicts performance. Following this we define:
Looking at the power-to-weight markers, we can see the following:
This generally holds true - an exception being the Countach 25th Anniversary edition, where judging by it's HP:KG ratio, it should have about 100 more PP.
Eventually the list below will be more fully populated, and can be used as a guide to picking an "efficient" car.
Efficient Cars
Expensive Cars
Closing remarks - actually this turned out as I expected, and I believe it should be in this way. If PP did actually perfectly represent the cars performance, then GT5 would whittle down to "whose PP is biggest". Of course, driver skills still comes into play but some excitement is lost. I feel that PP gives a rough indication of car performance, but depending on driver styles and perhaps some unknown factors produces some outliers. (it could well be that Polyphony randomizes PP within say +/-5 points of the computed value)
* The track has a long front-straight, followed by progressively tightening curves with increasing slope, easing back out to the level front straight. I created this track to test all aspects of a car for tuning purposes.
Open Questions
Regarding the open questions, I welcome someone who wants to lend a helping hand and do some experiments. It would be pretty straight forward and we could get some idea on the behaviour. Send me a PM! (also need a test driver for my tunes )
If you just want the results (given a PP limit, which car is best?), scroll down to the red & blue lists, otherwise read on!
Let's start with the what - What are performance points? As the name suggests, they are numerical representations of the overall performance of a given car. The exact algorithm to compute the PP's is unknown, but it is most likely based on HP, weight, weight-distribution, down force and so on. However the specific relationship between these variables and PP's is not of interest here.
Rather, I wanted to investigate the "reliability" of the PP system -namely: Would two cars with identical PP's hold identical performance? And if not, which cars are more "efficient". Here we define efficiency as those cars which perform better than expected, for given PP's - this will make more sense later on.
How? Well the process is pretty simple, I chose a track (custom generated Toscana circuit*) and recorded lap times of cars with varying PP's. Then by plotting lap-time vs. PP's - not only can different cars of the same PP be compared, but we can also see the overall relationship between lap-time and PP's. I used the DFGT wheel, manual transmission, no driving aids apart from ABS (=1) and sport soft tires.
Now to get the issues out of the way -
- There is one big way in which this experiment can be improved - by using "stock" cars and thereby removing the variable of tuning. However, I actually started this as my tuning routine and after having these results at hand, decided to do the PP study. This could throw off the results - e.g. if my suspension and transmission settings are completely off, then it doesn't matter which PP the car is, the time would not be an accurate reflection. However, since tuning is done by myself only - I would assume the consistency in tuning somewhat alleviates this problem.
- Each car was run at least 5 times, thereby ensuring that I was "used" to the car and a representative lap time achieved.
(click for bigger version)
How to interpret the Graph - The green 'x' represents the lap-time achieved by a car at it's given PP rating. The blue 'o' represents power-to-weight ratio, where the bigger the circle, the more HP per KG. And finally the green line is the line of best fit and represents "average" PP to lap-time relationship. From here on we assume the sample size is large enough and the trend line accurately predicts performance. Following this we define:
- Any car on the line fits our predictions (the given PP yields the predicted lap time)
- Any car above the line is "expensive" (the given PP yields a slower lap time than predicted)
- Any car below the line is "efficient" (the given PP yields a faster lap time than predicted)
Looking at the power-to-weight markers, we can see the following:
- Higher the HP:KG ratio, higher the PP
- Higher the HP:KG ratio, lower the lap time
This generally holds true - an exception being the Countach 25th Anniversary edition, where judging by it's HP:KG ratio, it should have about 100 more PP.
Eventually the list below will be more fully populated, and can be used as a guide to picking an "efficient" car.
Efficient Cars
- F430 Scuderia
- M5
- RS8
- NOMAD DIABLO
- RE RX7
- BMW M3
- Syliva S15
- Countach 25th
- ZR1 RM
- EVORA
- NSX 91 RM
Expensive Cars
- coutach lp400
- Gallardo 560
- R34 NUR
- s2000
- Viper STR10 ACR
- fairlady z II
- EVO 10
- Ford GT
- EVO VI TME
- Corvette ZR1
- GATHERS EK9
- WRX STI 10
- Veyron (this track is definitely too tight for the Veyron)
Closing remarks - actually this turned out as I expected, and I believe it should be in this way. If PP did actually perfectly represent the cars performance, then GT5 would whittle down to "whose PP is biggest". Of course, driver skills still comes into play but some excitement is lost. I feel that PP gives a rough indication of car performance, but depending on driver styles and perhaps some unknown factors produces some outliers. (it could well be that Polyphony randomizes PP within say +/-5 points of the computed value)
* The track has a long front-straight, followed by progressively tightening curves with increasing slope, easing back out to the level front straight. I created this track to test all aspects of a car for tuning purposes.
Open Questions
- Stock vs. Tuned PP, how does tuning effect performance when compared to predicted performance?
- What factor determines PP, i.e. HP, weight or HP:weight?
- Is tuning a car to max-potential and limiting down to a given PP the same as 'up tuning' to that PP?
Regarding the open questions, I welcome someone who wants to lend a helping hand and do some experiments. It would be pretty straight forward and we could get some idea on the behaviour. Send me a PM! (also need a test driver for my tunes )
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