Prelim data on a chart
- Thread starter txchemist
- Start date
Just another way to show me that I have a lot to learn before we get thrown to the wolves in the SS Pro!
Made finals in AM but would have been a back marker at best against the big boys. Anybody know when .02 of speed will fall out of the sky and land on my cars!?
Made finals in AM but would have been a back marker at best against the big boys. Anybody know when .02 of speed will fall out of the sky and land on my cars!?
Nice way to show the data. The steep slopes for the top cars in each class show the tough level of competition.
I took a little different approach and identified the 4 run ave. prelim times for the fastest cars of the top 10 builders in the BASX, SS-Am, and SS-Pro classes. I did this for both May 2014 and Aug. 2014,
then compared the spread between 1st and 10th fastest as well as the average time of the top 10 builders.
Here is a summary:
BASX, May 2014
fastest builder: 2.9921 sec
10th fastest builder: 3.0100 sec
1st to 10th spread: 0.0179 sec
top 10 ave time: 3.0010 sec
BASX Aug 2014
fastest builder: 2.9821 sec
10th fastest builder: 2.9915 sec
1st to 10th spread: 0.0094 sec
top 10 ave time: 2.9882 sec
difference between top 10 average May to Aug. = 0.0128 sec
SS-Am, May 2014
fastest builder: 2.9799 sec
10th fastest builder: 2.9953 sec
1st to 10th spread: 0.0154 sec
top 10 ave time: 2.9882 sec
SS-Am Aug 2014
fastest builder: 2.9682 sec
10th fastest builder: 2.9805 sec
1st to 10th spread: 0.0123 sec
top 10 ave time: 2.9756 sec
difference between top 10 average May to Aug. = 0.0126 sec
SS-Pro, May 2014
fastest builder: 2.9741 sec
10th fastest builder: 2.9888 sec
1st to 10th spread: 0.0147 sec
top 10 ave time: 2.9804 sec
SS-Pro Aug 2014
fastest builder: 2.9656 sec
10th fastest builder: 2.9739 sec
1st to 10th spread: 0.0083 sec
top 10 ave time: 2.9705 sec
difference between top 10 average May to Aug. = 0.0099 sec
two key take-aways here:
1) the time gap between the number 1 and number 10 builder is reduced in all three classes from May to Aug. meaning tighter competition
2) comparison of the average of top 10 in May versus Aug. shows about a 0.01 sec decrease from May to Aug in all 3 classes. In other words, these results suggest the track is running about 0.01 sec faster in Aug versus this past May
I took a little different approach and identified the 4 run ave. prelim times for the fastest cars of the top 10 builders in the BASX, SS-Am, and SS-Pro classes. I did this for both May 2014 and Aug. 2014,
then compared the spread between 1st and 10th fastest as well as the average time of the top 10 builders.
Here is a summary:
BASX, May 2014
fastest builder: 2.9921 sec
10th fastest builder: 3.0100 sec
1st to 10th spread: 0.0179 sec
top 10 ave time: 3.0010 sec
BASX Aug 2014
fastest builder: 2.9821 sec
10th fastest builder: 2.9915 sec
1st to 10th spread: 0.0094 sec
top 10 ave time: 2.9882 sec
difference between top 10 average May to Aug. = 0.0128 sec
SS-Am, May 2014
fastest builder: 2.9799 sec
10th fastest builder: 2.9953 sec
1st to 10th spread: 0.0154 sec
top 10 ave time: 2.9882 sec
SS-Am Aug 2014
fastest builder: 2.9682 sec
10th fastest builder: 2.9805 sec
1st to 10th spread: 0.0123 sec
top 10 ave time: 2.9756 sec
difference between top 10 average May to Aug. = 0.0126 sec
SS-Pro, May 2014
fastest builder: 2.9741 sec
10th fastest builder: 2.9888 sec
1st to 10th spread: 0.0147 sec
top 10 ave time: 2.9804 sec
SS-Pro Aug 2014
fastest builder: 2.9656 sec
10th fastest builder: 2.9739 sec
1st to 10th spread: 0.0083 sec
top 10 ave time: 2.9705 sec
difference between top 10 average May to Aug. = 0.0099 sec
two key take-aways here:
1) the time gap between the number 1 and number 10 builder is reduced in all three classes from May to Aug. meaning tighter competition
2) comparison of the average of top 10 in May versus Aug. shows about a 0.01 sec decrease from May to Aug in all 3 classes. In other words, these results suggest the track is running about 0.01 sec faster in Aug versus this past May
I think that this track will be a permanent fixture for NPWDRL.
TX, I don't know if this would be possible for data assembly, but if it is, I would like to see a graph that would show (in some way) the performance on each lane, maybe by each class.
Just looking at my own cars, I suspect the following:
Blue lane = fastest
Black lane = 2nd fastest.
Red lane = 3rd fastest (or 2nd poorest)
White lane = Worst
Maybe for the sake of getting a better picture, just take the 10 best car's times.
TX, I don't know if this would be possible for data assembly, but if it is, I would like to see a graph that would show (in some way) the performance on each lane, maybe by each class.
Just looking at my own cars, I suspect the following:
Blue lane = fastest
Black lane = 2nd fastest.
Red lane = 3rd fastest (or 2nd poorest)
White lane = Worst
Maybe for the sake of getting a better picture, just take the 10 best car's times.
OK, first short look is at the top 3 cars in SS which we would expect to be hammered by wind the most. I have made the math simple- you just count the runs that do not overlap to compare the tails of one distribution to another. If you get enough separation, it becomes statistically significant.
In the case of SS pro- the Red Lane is WAY out of random faster than all other lanes. The Blue is 90% sure to be faster than the white lane and 97% chance faster than the black lane.
I need to follow up with some top unlimited which should NOT be effected by wind as much, but if the track itself is the cause, it will show up.
side note: the software almost continually flagged runs as having non-random results. Common when slow cars run with fast cars, but not common when all should be fast like in finals.
In the case of SS pro- the Red Lane is WAY out of random faster than all other lanes. The Blue is 90% sure to be faster than the white lane and 97% chance faster than the black lane.
I need to follow up with some top unlimited which should NOT be effected by wind as much, but if the track itself is the cause, it will show up.
side note: the software almost continually flagged runs as having non-random results. Common when slow cars run with fast cars, but not common when all should be fast like in finals.
With my comparison to my SS times this month and how much faster the track was... In comparison to the last 42 event my SS would of been running low 80's...2.980-83..Mine was slower than normal.. LightingBoy, KINSER , Joel and a few of the other guys times on the old track would be 2.974-76... ish.. Which is really fast.. This will give everyone a idea where they are at on the speed chart, and whether they got faster or slower.. Just add 12-15 thousands to your time you ran this month and you will have a idea.. My BASX got faster... And everything else was slow.. Compared to my fast SS/ SP / Elim. / Unlimited.
Now we look at Unlimited, and the track does have a statistically significant variance. This is complex, it combines both the car times and the track times. You can see the track is adding more variation than the cars have.
So because all cars run in each track, it is not a problem to pick a winner, but because we are all a bit OCD, and this is not so pronounced usually, or if the track is not level you don't get the two outside tracks both faster, the fun starts again. Suggest using a few unlimited cars to sniff out cause.
So because all cars run in each track, it is not a problem to pick a winner, but because we are all a bit OCD, and this is not so pronounced usually, or if the track is not level you don't get the two outside tracks both faster, the fun starts again. Suggest using a few unlimited cars to sniff out cause.
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