Pouring over Jalopnik
reports, laptimes, and team blogs
, I was trying to make sense over the madness that is The 24 Hours of LeMons
. The 24 Hours of LeMons race is an endurance race (13 hours over two days) where teams are allowed to spend $500 or less
on their race car (aside from safety equipment). The races are made up of a totally insane mix of cars, from RX-7s to old cop cars to Ford Pintos to an oooooooold Volvo Amazon
Although I’m not sure I’ll ever think about entering the race (being in a race with a $500 bucket bumping into explosive Pintos seems a little on the dangerous side
), I was curious to see how cars from different countries and makes, as well as models in particular, perform. Although results of the races are recorded
, car information isn’t included there (an email to the race organizer asking for the make, model of each car got me the response “Ah, hell, we’re not nearly that organized.”), so I had to cross-reference between what is recorded on mylaps.com and the information on Jalopnik’s uber galleries
(which took a bit of time). I could only find this information for races going back to Thunderhill 2007
, but I will update this page as more races are completed as recorded.
Ok, the results are about to come, but first let me tell you how this is being measured (feel free to skip this paragraph if math bores you and/or you don’t care). On each race, I took the z-score
of each entrant to the race, and I recorded the make, model, and country of origin for each car. Then, for each of those three categories (make, model, country) I found the average z-score for all the cars entered that fit into that category. In the charts below, I only plotted categories that had at least 3 samples (so the lonely Volvo Amazon
, for example, won’t show up in the model chart, but its performance is included in the country and make charts).
Here we go (These stats include races up until Toledo 2008):
Performance by Country
Performance by Make
Performance by Model
A couple of things to point out: the samples I looked at may be very unreliable. My math shows Caprices kicking ass, but there were only four of them over the three races I looked at, which means that there is a very small sample size (which leads to poor accuracy/precision). Also information on some cars were just missing.
Since there was a request for the source data I used, here they are. Apologies for making them .doc, it was the only thing I could put up easily with wordpress (can’t publish excel spreadsheets).