Analyzing game film to verify athleticism for more accurate player evaluation VERIFIED IN-GAME ATHLETICISM DATA POWERED BY AI.

Reel Analytics proprietary IGA Score Finds talent NO ONE ELSE IS LOOKING.

I wanted to share a bit about Reel Analytics an advanced scouting tool for scouts of all levels.

Reel Analytics provides VERIFIED IN-GAME ATHLETICISM DATA POWERED BY AI. Analyzing game film to verify athleticism for more accurate player evaluation.

PROPRIETARY IGA SCORE Reel Analytics’ proprietary IGA Score is a measure of in-game athleticism derived from position-specific athleticism metrics extracted by our tracking technology. To train our scoring model, we measured the in-game athleticism of over 15,000 college and NFL players for current and historical context. Each metric is weighted, contextualized by percentile rankings, and scored.NFL scouts, NFL agents, and major college football programs integrate our IGA Score to add objectivity into their player evaluation process.

When evaluating NFL draft or college prospects there is often a debate about whether to prioritize athleticism or player production. Learn during the #C2C podcast, Cory shares how our evaluation process at @RAanalytics balances athleticism with production. More https://reel-analytics.net/subscribe/

The predictive nature of our AI-powered tracking data can be seen in our samples where we’ve been able to discover & accurately project players prior to stars, offers, commitments & contracts.

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Athletes & HS Teams

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OUR SCORING METHODOLOGY.

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 our AI-powered tracking technology, and Reel Analytics’ PROD Score derives from objective advanced performance metrics. Each metric is collected and inputted into a data range, then allocated points based on the range in which they fall.

The points from each metric are weighed into the final score for each category. Then,consistent with our belief that accurately projecting a player’s success is a function of their athletic ability and their impact on the game, we integrate these two variables into the prospects’ RA Score — the final evaluation grade for each player. Reel Analytics uses the players’ overall RA Score to project their ability at the next level.

REEL ANALYTICS FOR REAL EVALUATORS Reel Analytics has emerged as a trusted authority in the player evaluation space by NFL scouts, NFL agents and nationally ranked college football programs like the University of Georgia, University of Michigan, and Texas Christian University. Reel Analytics’ athleticism data and digital assets have also been referenced by ESPN, Sporting News, and USA Today.

UNLOCK YOUR TEAM’S POTENTIAL WITH TECHNOLOGY THAT WINS. Reel Analytics For Real Evaluators

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Performance AnalyticsBuild a championship roster with our in-game athleticism data for deeper insights into a player's athletic ceiling SCHEDULE A DEMO

Advanced Scouting ReportsIdentify key matchup advantages & disadvantages with our matchup metrics to win more games SCHEDULE A DEMO

Fan EngagementEnhance the digital fan experience with our AI-powered tracking technology & curated infotainment.

FIND TALENT WHERE NO ONE ELSE IS LOOKING.

Reel Analytics UnderCruited ProspectsReel Analytics uses a proprietary algorithm to surface talent that would otherwise be missed. We collect performance data from NFL players to curate a list of under recruited prospects whose scores aligned with high-ceiling players with a favorable trajectory.Combine the power of AI, predictive analytics and advanced performance data to automate college football and Combine the power of AI, e data to automate college football.

3 reasons why player tracking data matters to coaches, scouts & evaluators: 

Player tracking data is verified 

Player tracking data is objective 

Player tracking data is predictive In-game athleticism data from 

Founded in 2019, Reel Analytics quickly emerged as one of the Top 100 Most Fundable Companies by Pepperdine University's Graziaio Business School in 2022. Investor relations landing page copy: "Reel Analytics (formerly Recruiting Analytics) is a sports technology and data company that analyzes video to measure in-game athleticism so coaches can evaluate players more accurately. A Panoramic Ventures portfolio company, Reel Analytics has been shortlisted by Pepperdine University’s Graziadio Business School as one of the Top 100 Most Fundable Companies. Reel Analytics is reinventing how the sports industry identifies and evaluates talent in order to achieve a 99.9% hit-rate by 2050. Deion Sanders, Hall of Fame cornerback and head coach at Colorado University, as well as former quarterback and head coach at University of Alabama Birmingham, use Reel Analytics to evaluate prospects and players on their roster. Patent-pending AI-powered technology from Reel Analytics unlocks previously unavailable athleticism data from game film to produce objective player evaluations and projections. As a result, Reel Analytics has emerged as a trusted authority in the player evaluation space by NFL scouts, NFL agents and nationally ranked college football programs like the University of Georgia, University of Michigan, and Texas Christian University. Reel Analytics' athleticism data and digital assets have also been referenced by ESPN, Sporting News, and USA Today."

VERIFIED IN-GAME ATHLETICISM DATA POWERED BY AI.

Analyzing game film to verify athleticism for more accurate player evaluation.

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