Our patented player tracking technology quantifies an athletes functional movement on the football field. We add the functional movement data to our proprietary alogorithm that uses a combination of advanced analytics and machine learning techniques to calculate IGA Scores.
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How accurate is your data?
Our patented player tracking technology quantifies an athletes functional movement on the football field. We add the functional movement data to our proprietary alogorithm that uses a combination of advanced analytics and machine learning techniques to calculate IGA Scores.
How are IGA Scores calculated?
Our patented player tracking technology quantifies an athletes functional movement on the football field. We add the functional movement data to our proprietary alogorithm that uses a combination of advanced analytics and machine learning techniques to calculate IGA Scores.
Deion Sanders
Reel Analytics played a key role in building our championship roster at Jackson State and will do the same for us at Colorado. Their in-game athleticism score is a foundational piece of our talent evaluation process.
Trent Dilfer
I became familiar with Reel Analytics while I was at Lipscomb Academy and loved how their team reimagined how personnel should not be beholden to an archaic stop watch. Fast forward to my first few weeks at UAB. I was drinking by a fire hose and wanting objective data to look at as it related to our board. Luckily Reel Analytics was able to turn around reports for a handful of players we were interested in and give us a true understanding of how they play in pads as it relates to NFL players at their age. We are looking to develop Pros that play longer than I played in the NFL. Getting the evaluation right on the front end is crucial and we believe Reel Analytics will be a big part of that equation.
Tyler Olker
Our prospects are evaluated on position-specific traits based primarily on Reel Analytics’ verified in-game athleticism data. Our search for verified prospect information has been simplified by Reel Analytics
Chuck Lillie
We’re able to mitigate misses in our evaluation process by using Reel Analytics, which provides objective data on what we’re seeing on tape, and signing players with the speed and in-game athleticism that project as starters here at K-State.
Aashon Larkins
Reel Analytics has changed the game by bringing NFL-level analytics to college football. Modern day athleticism data from Reel Analytics quantifies what evaluators see on tape, providing position-specific metrics to compare to NFL players. Cutting edge!
Neil Searcy
Reel Analytics offers a great opportunity for our kids to get recruited, especially under recruited players with good film. College coaches are looking for verified athletic information on players so having our prospect sheet verified by Reel Analytics helps promote our players to college football programs in a credible and unique way.
RA Scoring Models For The Win!
Reel Analytics’ studies show that past performance can be a strong indicator of future success at the highest level of the sport
Leveraging the power of computer vision technology, RA found that the requisite traits found in NFL players can be identified as early as high school. Computer vision technology enables evaluators to analyze the high school tracking data of successful players from the past to detect the trait(s) that made him ‘special’. This type of retrospective analysis allows college coaches to establish position-specific performance thresholds used to evaluate high school prospects, and to serve as early indicators of future success. For NFL coaches and personnel executives, high school tracking data, among many things, provides deeper insights into the progression of a draft prospect’s raw and functional athleticism.
Reel Analytics’ evaluation methodology consists of two main factors: an In-Game Athleticism Score (IGA Score) and a Production Score (PROD Score), which are both used to determine the RA Score that serves as the final overall player grade. Reel Analytics’ IGA Score derives from objective evaluative metrics extracted by their AI-powered tracking technology, and Reel Analytics’ PROD Score derives from objective advanced performance metrics.
The findings from Reel Analytics’ retrospective study of nearly 500 players from 2011 to 2020 show that RA’s scoring models’ overall projection accuracy is 75.5%, a hit-rate that is 3X higher than college football’s average, and more than 2X vs.the NFL average.”