Eight specialized agents score every NFL player prop — from defensive DVOA matchups to sharp line movement detection to injury cascade modeling. Confidence scores before every kickoff.
This Week's Analysis
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Football Is Not Like Other Sports
Defense-adjusted value over average is not uniform across an opposing roster. A defense that suppresses wide receivers may be exploitable at running back. Propeller's Matchup agent evaluates DVOA at the position level, matching each player's role against the specific defensive unit responsible for covering that position group. It is the highest-weighted signal in the NFL model.
NFL lines move for a reason. Propeller monitors timestamped odds snapshots from multiple books and flags directional movement that reflects informed money rather than public betting volume. A line that moves against public betting percentages — called reverse line movement — is one of the clearest signals of sharp action in the market. The LineMovement agent is calibrated specifically to detect this pattern.
NFL injury reports are released throughout the week on a Wednesday-Thursday-Friday-Saturday cadence. A receiver's practice participation on Wednesday can shift their prop by midweek, and full-game exclusions on Sunday morning can render a prop unplayable entirely. Propeller tracks OUT and IR designations, eliminates props for sidelined players, and redistributes expected target share and carry volume to teammates who benefit.
Every sportsbook bakes a margin into prop lines — typically 8 to 10 percent on player props. This margin obscures what the book actually believes about the outcome. Propeller strips the vig from both sides of the line using bilateral no-vig mathematics, revealing the book's true implied probability. Cross-book disagreement — when prices diverge significantly between books — is flagged as a standalone edge indicator.
The Engine
The highest-weighted signal in Propeller NFL analysis. This agent evaluates position-specific defensive DVOA: not how a defense performs overall, but how it performs specifically against the position group the target player occupies. A wide receiver who lines up in the slot faces a fundamentally different defensive assignment than a receiver who lines up outside. A run-blocking defense that excels against outside runs may surrender interior carries at a higher rate. The Matchup agent maps each player's primary role, identifies the specific defensive unit they will face in the game, and produces a directional confidence score based on historical DVOA differential against comparable players in the same role.
Defense-adjusted value over average measures how efficiently a team performs relative to a league-average baseline, adjusted for opponent quality. The DVOA agent calculates z-scores for both team offensive DVOA and opponent defensive DVOA, generating a composite efficiency signal that reflects whether the game environment favors volume and production at the team level. A team with a high offensive DVOA facing a defense with a low defensive DVOA creates a favorable environment for every player on that roster.
Sharp money detection from timestamped odds snapshots across multiple books. The LineMovement agent tracks directional changes in prop lines from open to current, identifying movement that conflicts with public betting flow — a reliable indicator that informed bettors or the books themselves are adjusting based on non-public information. Large, sudden moves late in the week frequently precede injury confirmations or game-script changes that the books price before the general market catches on.
A player listed as OUT or on IR has their own props eliminated from consideration immediately. But the Injury agent goes further: it models cascading teammate effects, identifying which players in the same rotation stand to absorb the missing player's target share, snap count, or carry volume. A number-one receiver ruled out on a Saturday morning can transform the number-two receiver's receiving yards prop from a neutral signal to a high-confidence opportunity before the book adjusts its line.
Bilateral no-vig analysis removes the sportsbook margin from both sides of every prop line to reveal the true implied probability each book assigns to the outcome. Juice direction — which side is carrying the heavier vig — signals where the book expects or has observed action. Cross-book disagreement is flagged separately: when DraftKings and FanDuel price the same prop meaningfully differently, that divergence itself becomes an edge signal worth factoring into the final confidence score.
Database-powered historical trend analysis from the NFL player stats table — a full replacement for simple hit-rate calculations. This agent surfaces recency-weighted performance patterns across the current season, weighting the last four games more heavily than earlier results to reflect current role, offensive system fit, and usage trajectory.
Player quality z-scores derived from three Next Gen Stats signals: CPOE (completion percentage over expectation for quarterbacks), separation distance at the catch point for receivers, and RYOE (rushing yards over expectation) for running backs. These metrics isolate individual player quality from the noise of overall team performance.
Raw usage volume tracking: target share percentage, snap participation rate, and carry volume trend for skill position players. Even when quality metrics are mixed, a player who consistently earns 30% of their team's targets in a high-volume offense occupies a favorable structural position relative to their prop line.
All eight agents produce individual confidence scores that are combined via a calibrated weighted average. Agents returning no signal for a given prop are skipped — a neutral reading never dilutes a strong directional signal. The final score is amplified by 1.3x for NFL to reflect the sport's higher signal-to-noise ratio compared to daily sports.
What We Score
The highest-volume quarterback prop. Driven by game script, opponent pass DVOA, pace of play, and projected total. Blowout risk suppresses passing volume significantly.
Correlated with target share, air yards allocation, and the pass-heaviness of the game script. Matchup DVOA against the receiver's alignment — inside vs. outside — is the critical signal.
Strongly linked to carry volume, opponent run DVOA, and whether the game script projects as run-favorable. RYOE z-scores identify backs who consistently beat their expected output.
Target share and route participation rate are the primary predictors. Slot receivers with high target floors in short-area passing attacks carry the most consistent reception props.
Correlated with red zone efficiency, opponent red zone pass DVOA, and projected game total. Higher-total games generate more scoring opportunities for both teams.
Red zone target share and goal-line carry percentage are key. Injury cascades frequently create the strongest anytime TD edges when a primary scorer is ruled out and their red zone role redistributes.
Tied closely to game script — pass-heavy games driven by deficit or high totals generate more attempts and completions. CPOE z-score isolates quarterback accuracy quality from opportunity.
Snap rate, backfield role, and game script projection determine expected carry volume. Home favorites with a strong run game and a projected positive game script see the highest carry ceilings.
The Numbers
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