Advanced Sports AI
Expert Handicapper
Expert Handicapper
Harnessing AI to Beat the NFL: Johns Hopkins Professor & Super Bowl Champion Team Up to Beat the Odds
WHAT: AI-Powered NFL Insights
Dr. Anton Dahbura of Bell Labs, MIT and sitting professor at Johns Hopkins University, Super Bowl Winner Femi Ayanbadejo, and team of brilliant minds have partnered with Winners and Whiners for an exclusive opportunity to help sports bettors make well-informed decisions.
Harness the power of cutting-edge AI. Dive deep into AI-driven NFL game predictions, in-depth match-up analysis, and player performance metrics.
Dive into the future with an 86.36% weekly profitability rate from last season’s BETA.
WHY: The Problem we're Solving
A changing landscape, a new opportunity
We live in a world where technology, mathematics and Ai are becoming more ubiquitous by the day in all areas of life and sport. However, Las Vegas and other globally trusted NFL odds producers have been reluctant to lean in to this approach. Beside the tech short-fall, Vegas NFL odds producers are counting on fans to make irrational and uninformed decisions. Odds are moved by money and fandom rather than pure quantitative analysis. Vegas has an inherent market inefficiency and we want to help you capitalize on this opportunity.
HOW: Our Solution
Built by fans, for fans
We are an eclectic group of computer scientists and analysts from Johns Hopkins University. Our team is also comprised of team members that represent the NFL from a player, media and executive perspective. We have tapped into our combined experiences and specialties to create a revolutionary Ai powered platform chalked with features reflecting one of the most advanced approaches to NFL game modeling on the planet. We are also NFL fans, just like you!
PROVEN PERFORMANCE: Last Year's BETA RESULTS
Consistent Weekly Profits: Last season’s BETA finished 19 out of 22 weeks on a profitable note, translating to an
86.36% weekly profitability rate.
MEET THE TEAM: The Team Behind the Revolution
* Femi Ayanbadejo
Chief Executive Officer
Advanced Sports AI
Professional experience – 26 years
Business Development, Strategic Planning, Consulting, Analytics, App Development, Ai, Start-Ups, Media/Radio/TV/Analyst, NFL Athlete/Coaching Intern
Companies
Advanced Sports Ai, HealthReel Inc., Johns Hopkins Strategic Consultant, NASA Technology Transfer Partner, CBS radio, Hearst Media, Baltimore Ravens Radio, NFL Athlete (Vikings, Ravens, Dolphins, Cardinals, Bears)
Education
Johns Hopkins Carey Business School MBA, Wharton Certification Digital Assets, Harvard Certification Advanced Negotiation, Stanford GSB NFL Entrepreneurial Certification, San Diego State University BA Psychology
* Dr. Anton Dahbura
Chief Technology Officer
Advanced Sports AI
Professional experience – 42 years
Industrial and Academic Computer Science Research and Management, Corporate Leadership, Software Development, Sports Team Ownership, Baseball Analytics Consultant, International TV Analytics, Start-Ups
Companies
AT&T Bell Laboratories, Motorola Cambridge Research Center, Hub Labels, Inc., Dahbura Family LP, Sportslynx, Hagerstown Suns Baseball LLC, Johns Hopkins Institute for Assured Autonomy, Johns Hopkins University Information Security Institute
Education
Johns Hopkins University PhD, MSEE, BSEE
* Conner Cross
Lead Applications Developer
Advanced Sports AI
Professional experience – 4 years
Software Engineering, Applications Development, Systems Architecture, Web Development, Cloud Engineering
Companies
Advanced Sports AI, Oracle
Education
Montana State University B.S. Computer Science
* Sam Oberly
Data Scientist
Advanced Sports AI
Professional experience
Machine Learning, Software Development, Simulation, Optimization, Data Analytics, Research, Technical Writing, Consulting, Natural Language Processing
Companies
MITRE, NATO’s von Karman Institute, Department of Defense, Johns Hopkins University, 21stCentury Cities Initiative, Cambridge Blockchain Society, University of Cambridge
Education
Johns Hopkins University BS Applied Mathematics and Statistics, BA Mathematics, BA Economics, MSE Applied Mathematics and Statistics, University of Cambridge Mathematics program partnership, von Karman Institute Short-term Training Program
* Matthew Blunt
Head of Foobtall Analytics
Advanced Sports AI
Professional experience – 6 years
Digital Signal Processing, Football Analytics, Mathematical Modeling, Machine Learning, Software Engineering, Academic Research (Computational Audio Perception, Human Language Technology, Auditory Neuroscience, Audio Forensics)
Companies
Advanced Sports AI, Bose Corporation, SensorLogic, Inc
Education
MS Electrical Engineering – Johns Hopkins University
BS Electrical Engineering – Montana State University
* Marlaina Miller
Chief Administrator Officer
Advanced Sports AI
Professional experience – 30 years
Business Development, Management, Talent Recruiting, Training, Investment Planning, Risk Management, Tax Planning, Retirement Planning, Start-Ups
Companies
AIG-American international Group, American General, Guardian, Trusted Advisors, International Analytics, La Pelle Couture, Sportslynx
Education
Columbia College, American College Of Financial Services
* Michael Peven
Director of Data Science
Advanced Sports AI
Education
PhD Candidate, Department of Computer Science, Johns Hopkins University MSE, Computer Science, Johns Hopkins University BS, Environmental Engineering, Johns Hopkins University
Research Areas & Interests
Applied machine learning, deep learning, computer vision
JOIN THE REVOLUTOIN: Exclusive Free Beta Testing Opportunity
We’re excited to invite you to be among the first to experience our platform. As we’re now in Open BETA, your insights and feedback are invaluable. This is a limited-time opportunity, and we’re seeking passionate NFL fans to help us refine our platform.
PPV Explainer:
For the first time in NFL history, there is a data point that summarizes exactly how much every football player on the field impacts the scoreboard. The person scoring on offense or stopping a score on defense never does it alone. Football is the consummate team sport. We highlight the top performers and underachievers at every position based on what matters most. The scoreboard. Points scored/ allowed are then distributed to all active players that played on Offense or Defense. If an offense averages 27 points a game PPV should generally account for most or all of those points and distribute them among all the offensive players that stepped on the field. The same can be said for defense. There are a few non relevant exceptions.
WHAT IS PPV?
1. PPV Stands for Player Point Value. The logic and math behind PPV is proprietary and an unseen metric in football. We believe it is as revolutionary as QBR and other new statistics developed to illuminate player impact and value. Nothing gets to the heart of value like PPV.
2. PPV or Player Point Value is a proprietary data point created to distribute points scored on offense and points allowed on defense directly to offensive and defensive units, position groups, and players.
3. The higher the number, the better for offensive units, position groups, and players. The lower the number, the better for defensive units, position groups, and players.
4. PPV is tied to points scored on offense and points allowed on defense. Each offensive/defensive unit, position group and player (that plays in a game) is responsible for points scored/allowed.
5. PPV numbers cannot exceed the total number of points scored or allowed from week to week or in aggregate.
6. Our proprietary algorithmic approach to PPV includes positional value and usage/total plays also play a role in PPV/game.
HOW TO USE PPV
1. PPV can be used for individual match up analysis such as CB1 vs WR1 or when you anticipate a mismatch such as CB3 on WR1.
2. PPV can provide insights on how a complete position group matches up against their positional counterpart such as LBs vs RBs or DL vs OL.
3. PPV can also be used on the full unit level similarly to traditional Points Per Game for the Offense and Points Allowed on Defense. These are sharper numbers as random, garbage time and
other non relevant or random occurrences are not part of the PPV logic.
4. PPV is brand new. You may find other ways to use it that we have yet to think of. Have fun with it and let us know your thoughts. We are iterating every day.
