Lap Raptor Blog

Has Hendrick improved?

Replacing one of worst competitive regulars with the best is the reason the organization looks so dramatically improved. Replacing a deep negative with a glowing positive has affected the net results far more than any gains they could have made to the program that won them the championship in 2020. They’re set to repeat in 2021.

Posted: Sept. 27, 2021, 5:23 p.m.


New features: better driver pages, finish stats

We’ve substantially improved our driver profile pages, added more result based stats to all aggregate reports, and added OEM logos everywhere possible.

Posted: June 1, 2021, 9:13 p.m.


New features: preferred reports, glossary, car overviews

Lap Raptor has added some new features. I find them useful! They include new account features, a glossary of terms, and car overview pages.

Posted: April 11, 2021, 10:27 p.m.


3/14/2021 NASCAR Cup and Xfinity Series Phoenix Preview

This is a new series in analyzing data pertinent to a race weekend to predict who will be successful among the three national NASCAR series. We’ll use speed score, retention ratings, splits, and other tools available at rrel.ca. It remains to be seen if said metrics can predict winners, but anecdotally they’ve been good at predicting success. This weekend brings the Cup and Xfinity Series to Phoenix Raceway for the spring Phoenix race.

The picks: Joey Logano, Chase Elliott, Justin Allgaier

Posted: March 12, 2021, 9:39 p.m.


Feature update: retention tweaks, and a note on average running position

First update: the maximum denominator of the retention score weights is now 20 instead of 10 to better represent the realities of the sport. The top twenty cars are competing for playoff spots. 10 and 20 are equally arbitrary, but 20 has that backing it. The original post has been updated and contains much more information.

Second: One of the flaws of the weighted retention scores was that it didn’t give any credit for running up top. If there’s a constant battle between second and third, they can rack up a lot of points. Meanwhile the guy in first gets nothing. The new “Position Unchanged” rating assigns 1/(current position +1) points for each lap where a driver’s position is unchanged (cautions excluded as always). Net Retention is thus gain rating + unchanged rating - loss rating, and Retention Ratio is (gain + unchanged) / loss.

Posted: March 9, 2021, 7:57 p.m.


Rrel Explained: Retention, gain and loss ratings

Racing Relativity offers two types of retention report: cumulative and per 100 laps. Let’s address the columns in chunks, discuss what each stat is useful for and how we can develop a better retention metric that may have predicted the 2020 Champion.

Posted: March 8, 2021, 10:31 p.m.


New feature: driver race pages

A quick note on a new feature:

We’ve added pages for driver pages at individual races. You can access these from driver pages and race pages. This links to Chase Elliott’s championship win. The page has a graph of all that driver’s lap times and a list of their laps with runni

Posted: March 8, 2021, 8:47 p.m.


Rrel Explained: Speed Score

It’s difficult to devise catch all metrics for composite processes. The goal in autoracing is to win races, and the simplest way to do so is to drive faster than everyone else - but driving faster means a lot of things. You can give it 100% all day, but you’ll find yourself wearing through your equipment. You can run safely and consistently, but can you run quickly at opportune moments? How do you measure what it means to drive fast in a 500 mile race? Is it who has the fastest peak, and thus records the fastest lap? Is it who is most consistently fast and records a strong average speed? Or is it somewhere in the middle? That’s what speed score is looking to solve.

Posted: March 7, 2021, 9:50 p.m.