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Our game matchup dashboards provide a global view of a individual team’s strengths and weaknesses at every level on the offensive and defensive sides of the ball with a full spectrum of metrics that include our custom offensive and defensive efficiency metrics, EPA/play, 3rd down conversion rate, red zone trips and efficiency, explosive passing & rushing plays created, pass rush / protection and more. The dashboards quickly diagnose advantage insights and arm users with actionable matchup analysis to understand the game within the game and make data-driven decisions accordingly in betting markets or when constructing DFS lineups.
Our player matchup dashboards provide a comprehensive array of advanced passing, rushing and receiving metrics, along with matchup analysis that projects the opposing defense’s rank in the corresponding metric. Users can quickly identify quarterbacks, running backs and wide receivers with the most and least optimal matchups in the upcoming week. The tool provides a concise assessment of players set to outperform or underperform in a particular week and allows users to attack player prop markets and/or make data-driven lineup decisions in daily or weekly fantasy.
Gridiron Intel leverages historical data and advanced data analytics to provide predictive strategies that are effective in predicting game totals at a robust clip of 60%+ over an extended period of time between the 2015 and 2023 seasons, including a record of 48-26-2 (65%) during the 2023 season.
The Fraud Or Not? Model uses key offensive and defensive efficiency metrics to evaluate matchups between two above average defensive units by developing a confidence profile for whether or not both defenses are efficient enough to keep the game below the total at close.
Between 2015-2023 during Weeks 5-17, the Fraud Or Not? Model correctly predicts Overs/Unders at a 66% rate (99 of 149).
The 3 and Out Model seeks to identify matchups in which two extremely inefficient offenses will continuously fail to move the chains, sustain drives and ultimately move the ball into scoring position throughout the course of the game. When two offenses that cannot avoid self-inflicted penalties via false starts, holding penalties, failures to log successful plays on early downs or convert third downs and move the chains, points come at a premium.
The model seeks to identify matchups where two bad defenses are facing off, but public bias has skewed the line too high over the course of the week. This model is not sexy in its strategy, but it gets the job done.
