The master slate ranking. Synthesizes simulated touchdown probability, market edge vs sportsbook odds, red-zone touch volume, defensive matchup rating, explosive ability, and recent player form.

True calculated probability of scoring at least one touchdown in today's game. Derived from drive-level Monte Carlo simulations, red-zone conversion efficiency, and projected team trips to the red zone.

The mathematical value gap between Moneyball's simulated true probability and the sportsbook's implied break-even odds. Positive divergence highlights profitable betting value.

Standalone 10,000-iteration game simulation allocating individual possessions, red zone trips, goal-line attempts, and explosive breakaway touchdowns to produce exact empirical touchdown distributions.

Tracks player opportunity concentration inside the opponent's 20-yard line, 10-yard line, and high-value 5-yard line touches where touchdown conversion rates spike dramatically.

Opposing Defense vs. Position grade (A+ to F). Evaluates how many touchdowns and receiving/rushing yards the opposing defense surrenders to WRs, RBs, or TEs compared to league average.

5-game visual history with glowing green/red dots (🟢/🔴) for touchdowns and dark dots (⚫) for scoreless games to identify momentum, rhythm, and bounce-back opportunities.

Integrates Vegas projected team points, spread favorites/underdogs, and pass/run play-calling expectations when leading vs trailing.

Covers Passing Yards, Passing Touchdowns, Completions, Rushing Yards, Rush Attempts, Receiving Yards, Receptions, and Anytime Touchdowns across multiple betting thresholds.

Analyze consistency across L5 (recent momentum), L10 (medium-term form), Season Baseline, plus dedicated Home/Away and Head-to-Head opponent splits.

Every trending card displays the player's core FullStack score. Sort by model conviction to instantly surface the highest-rated trend plays on the slate.

Matchup badges highlight opposing defenses with poor defensive rankings against specific yardage and reception props.

Simulates drive-by-drive offensive possessions, third-down success rates, red-zone touchdowns vs field goals, turnover regression, and fourth-quarter clock management.

Evaluates passing and rushing Expected Points Added (EPA/play), success rate metrics, offensive line pass-protection vs defensive pressure rates, and explosive play frequency.

Calibrates scoring and passing efficiency adjustments for high winds (≥15 mph), extreme cold, precipitation, and dome vs outdoor stadium environments.

Categorizes bets by mathematical edge vs market lines: ⭐⭐⭐ 3-Star Best Bet (High Edge), ⭐⭐ 2-Star Value (Solid Edge), ⭐ 1-Star Lean.

The percentage of individual betting tickets placed by the general public. Heavily reflects recreational sentiment, brand recognition, and casual fan betting volume.

The percentage of actual dollar volume wagered across sportsbooks. Heavy handle placed on low ticket counts signals institutional syndicate and high-roller backing.

Automatically triggers when % of Money - % of Bets ≥ +10.0%. Identifies smart money moving the market with outsized financial leverage.

Flags games where casual public tickets are lopsided (≥65%–70%) on popular favorites or overs, artificially inflating prices and opening high mathematical edge on the opposite side.

Casual bettors naturally overbet favorites, overs, and hyped teams. When the public heavily bets one side but the model favors the opposite, the model is capitalizing on artificially inflated sportsbook lines to secure positive expected value (+EV).

Sharps win at ~55%–57% long-term. When high-dollar handle diverges against a baseline model pick, it usually signals information asymmetry (e.g. key offensive tackle or cornerback injury, weather nuance, or early line steam).

Ingests verified SP+ predictive ratings, adjusted tempo, offensive explosive play potential, and per-possession scoring efficiency across FBS teams.

Accounts for roster talent differentials, depth chart advantages, home-field atmosphere factors, and conference travel dynamics.

Projects game spreads, moneyline winners, and high-variance college totals through 10,000 Poisson-distributed scoring drive iterations.

Filter CFB matchups by conference, top-ranked Top 25 clashes, or high-conviction starred betting edges.

Analyzes player usage specifically in heavy 12/21 personnel packages near the goal line vs 11 personnel spread passing looks in open field.

Evaluates receiver success against Man vs Zone coverage schemes paired with opposing cornerback/safety matchup grades.

Evaluates high-leverage target share in crucial third-down conversions, two-minute drills, and hurry-up offensive sequences.

When key offensive starters are ruled out, target and carry opportunities are dynamically redistributed across remaining skill players.

Each trial simulates drive starts, yardage progression, first down conversions, and red zone penetrations based on team offensive pace and opponent defensive resistance.

Touchdown scoring plays are distributed based on red zone target share, goal-line rushing share, and individual explosive play probabilities.

Fuses continuous analytical projections with discrete Monte Carlo outcomes to eliminate variance and establish true scoring probabilities.

Compares the final simulated probability against live sportsbook odds to compute true expected value (+EV) and actionable market edges.

Optimized for iOS (iPhone Safari) and Android (Chrome) with touch-friendly game tabs, compact card views, and real-time odds recalculation.

Engineered for macOS, Windows, and Linux across all modern browsers with expansive multi-column grids and dense live betting boards.

Seamlessly adapts to iPads and Android tablets in portrait and landscape orientations with responsive split views.

Native integration inside the Whop apps, dashboard webviews, and standalone browser sessions with instant live data sync.