Download 2xl Supercross Hd Apk Data
Terpsícore Deckelman
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I've used an MSAcess database to pull data off of a website but you would need to know VBA at minimum. I'm sure these days AI could write it all for you or get close. It would be pretty cool to have the raw database of all MX and SX results from the beginning to run nonsense queries on.
Did you ever find anything out about your question? I was thinking about building a NFL style supercross fantasy league app myself. It would not be practical to manually do all the data updating for the races.
AMA's site posts the pdfs directly after the qualifying and races. You can probably figure out their link taxonomy for those and download the pdfs to your server and parse them from a pdf to csv converter programmatically to get the results into a structured data set.
Sorry just saw you said AMA's site is protected from scrapers, if you made a database table that kept track of the time of the requests, as long as you don't try to pull every link at the same time, you might be able to get by. Maybe I'll attempt it and report back the results. There's always a work around.
Update, was able to scrape all event links pretty easily, here they are. I'm not going to actually do this, but you should write a filter for which ones you want. Now let's see if we can get the pdf links from one event, if that works, this should be pretty easy. Will post update soon.
Here's the list of the data urls they are hiding behind an ajax request. Each one of these should give you an xml document you can parse to get the pdf downloads. 24 is the race year, the second part of the number is the round number. 2405 would be Year 2024, Round 5 for example. You can create this easily with the last list I gave you by getting the EventID from the query string in the list of event urls, and creating the xml link from their taxonomy. Then make your request to each round you want and parse the xml. Next update here in a few.
Alright my bro, got it to get all the data you should need, if you want help building this DM me and we can work something out. Got the data compiler built to get you this nice list of all of the pdfs from race day. Don't really feel like parsing the pdfs right now, but that should be super easy with tabula-py or similar library.
-py.readthedocs.io/en/latest/getting_started.html#example
This next table shows the holeshot average rank with where the rider ranks in the points standings (minimum 8 race starts). Because of the 8 race start minimum, Jorge Prado and Dean Wilson are left off this next list. Out of the top 22 in points, Prado and Wilson are the only ones not on this list.
This should be highly correlated but I was surprised to see it this high up. Think about it, the top riders will have the best qualifying times, then the best heat races finishes and then have the best gate picks for the main. This is a lot of time to shuffle out the order to where it should be by the end of the night show. However, there are still riders who can outperform their starting position like Justin Cooper and Vince Friese.
The thing I am now curious to know about is whether this data is unique to 2024 or has it pretty much always been this way? I feel like its probably always been this way to an extent but 2024 is to a higher level, the correlation between holeshot position rank and championship standing rank is very, very high. And also we are just 10 rounds in, the standings will have more shake ups with injuries as the season continues.
As Marvin Musquin stretched his lead to about three seconds over the field midway through the second main event of Saturday's Monster Energy Cup in Las Vegas, two announcers from Fox Sports 2 marveled at the rider's ability to stay calm with the sport's largest prize of the year on the line.
On a damp, fast track designed by five-time Monster Energy AMA Supercross champion Ricky Carmichael, the strong technical rider from Red Bull KTM Factory Racing settled into a steady groove even as hard-charging Jason Anderson lurked close behind. High above the action, a sold-out crowd at Sam Boyd Stadium received a bird's eye view of Musquin's biometric data on a 48-by-22 foot scoreboard, providing fans of supercross with granularity on the intricacies of the sport never seen before.
While traversing the hybrid motocross-supercross track, Musquin maintained an average heart rate of 184 beats per minute on the lap, well within his range of 177 to 188 BPM for the second leg of three main events on the evening. Minutes after becoming the first rider since 2011 to win a $1 million prize for capturing all three, 10-lap stages at the all-star gala, Musquin credited a rigorous training program over the prior two weeks for accomplishing the rare feat.
Although heart rate monitoring has been a fixture of Supercross racing for years, enthusiasts of the sport may finally be able to track their favorite riders' data in real time during the tense final seconds of a heart-pounding finish. At Saturday's showcase, data compiled by LITPro from Musquin's helmet was channeled through the stadium's WiFi network to an FS2 production truck, which projected the statistics on the stadium's big screen located above the track's split starting gates. Following the successful test run, there is a strong likelihood that the analytics could be integrated into Monster Energy Supercross broadcasts as soon as January for the start of the 2018 campaign, said Michael Ford, co-founder and president at LITPro. Just as a Major League Baseball telecast can incorporate Aaron Judge's exit velocity and launch angle on a 450-foot home run into its production, Monster Energy Supercross may be able to do the same with Musquin's heart rate data over a critical portion of a race.
Developed in 2012 by NZN Labs Inc., a Temecula, Calif. based technology and app development company, LITPro is a personal data acquisition device that can be used by riders to shave off seconds from their lap times. Essentially, LITPro serves as a central warehouse for a vast library of statistical information that helps the athletes gain a better understanding of the key factors that determine their performance on a given night. Besides the aforementioned heart rate monitoring, LITPro's technology can measure a rider's airtime on various jumps, the path taken by Musquin around a tricky section and the amount of G-forces exerted by a rider while operating a 240-pound machine. The app can also inform Musquin on segments where he stayed relaxed despite the threat of being passed or conversely on stretches of a race that required him to expend more energy.
For instance, LITPro's high powered algorithms instantly spit out an analysis of Musquin's performance on the second main that provided valuable insight on how he could have approached the course for his final run. Despite Musquin's dominance over his competition, LITPro's analysis showed that Musquin could have cut about a second from his time by taking a tighter path around Corner 6 of the course. When reviewing their performance on LITPro, a supercross athlete may decide to adjust their acceleration technique when needed and tweak their braking method while heading into a choppy turn.
More importantly, riders like Musquin can use LITPro to overlay their data with rivals such as Eli Tomac and Anderson from the biggest races of the series. Tomac, who suffered a high-side crash in Saturday's first main when his back tire spun out after a jump heading into Monster Alley, can go back to the device to compare his line with others who avoided a wide path. Moving forward, a network may be able to flash Tomac's heart rate on the screen as he is thrown from the bike to give fans a more complete picture of the rider's mindset during the race-changing moment.
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