nextgen stats The highlight of Week 2 in the NFL came late Sunday evening. when Baltimore Ravens quarterback Lamar Jackson wrapped up markers on the fourth. and 1st to win a statement against defending AFC champions Kansas City Chiefs.
It was an aggressive call – one that many people see, even though it considers irrational. The latest NFL NexTGen Status data will agree.
According to NextGen Status, the league develop in 2016 with trekking tech. providers running on Zebra Technologies and Amazon Web Services (AWS) infrastructure. making it a favorite call for the Ravens to go to the venue of the game. It Was The probability of winning vs. a difference of 24 per pint. Also, the numbers give Baltimore 75 percent. chance of changing the yardage needed to get down first in this particular play.
The fourth-down of this type – conversion data, with similar metrics on whether. it’s the right time to go for a two-point conversion is a key element of the NFL’s NextGen Stats.
Team’s latest offering:
NextGen Statistics AWS-powered guide.
“The NextGen statistic is a long way off,” said Josh Helmrich. the NFL’s director of strategy and business development. When we first started [in 2018], we were measuring things like yards, speed, and who’s in the field. Some of the things we understand still add to merit and value.
but one of the key principles of the NextGen has always been. that this technology can help everyone. Want to generate statistics and get as much good information from the game. as possible to benefit coaches, players, fans. The deeper the toolkit, the more people you can help.
This type of data is already proving valuable to broadcasters:
The data in the NextGen Statistics Decision Guide allows them. to use the difficult possibilities attached to historical data to give context. before some of the most controversial moments of the game occur.
According to Helmrich, the partnership with AWS. has been a catalyst for taking the NFL NextGen Status concept to the next level. Work on the AWS Machine Learning Solutions Lab. led by Priya Ponapali, Senior Manager, Applied Science, AWS. led to the development of the NextGen Status Discussion Guide. which uses machine learning models using Amazon Sage Maker.
According to the league, the equation of judgment focuses on two key components:
the probability of winning, which seeks to estimate how much the final outcome of the game. will change in each game, and the probability of conversion, which changes the offense. Reduces the chances of it happening. Two-point exchange or fourth down the game.
“You need context to make these statistics effective,” says Helmuth. We’ve been able to generate more data with the help of computers. There can be success or failure in any of the teams, but, depending on the number,
Which call gives you the best chance of winning?
This is an important step for the NextGen Stats Project as a whole. It converts complex algorithms and AI-generated data into concepts. that are easy to use during the game.
Even when the NFL is working with live broadcast partners CBS, Fox, NBC, ESPN, and the NFL Network. the league’s ability to release data It’s important to tell a story. handing over a new repository of raw data is not enough. Helmrich says it has become important to frame the data in a story and put it into context so. that behind-the-scenes personnel realizes the power of creating content for broadcast. in the form of graphics or replay packages. Can do It also helps with on-air talent shopping,
Who can use data in-game analysis?
“The team here has developed good content to help the media buy,” Helmrich said. Teams will not use it if it is not reliable and of high quality.
With machine learning getting more and more automated data. NFL Head of Product and Technology Matt Swanson and a research team including. NextGen Stats analysts Mike Band and Keegan Abdu. and data scientist Adam White improved an internal tool. Succeeded in delivering valuable data to the broadcasters. during the game in real-time and makes the data more accessible for the broadcasters.
“We need to help them figure out what’s new and how it can use on-air,”
Helmrich said. Via email or communications applications such as:
“We help a lot. Our research team helps to provide specific interesting stories. that go into the game. Then, in the game, we will talk back and forth with the broadcast partners. They will ask us specific questions and Ask for data that helps explain some players.
NFL NextGen statistics create using tracking systems installed at all NFL locations. The complete setup includes 20-30 ultra wideband receivers as well as RFID. (Radio Frequency Identification) tags mounted on players’ shoulder pads. officials and balls, pylon, and first down chains.
The league estimates that around 250 sensors activate in a stadium during a game. which pumps tracking data into the league’s home office in New York City.