Moneyball NBA is a 10,000-Trial Poisson-Gamma Compound Monte Carlo Simulation Engine built to project daily NBA Player Props, First Basket probabilities, NBA Game Lines, and NCAA College Basketball (CBB) matchups. Rather than relying on simple season averages, our engine models the underlying physics of every basketball game: projected minute distributions, starter-unit usage redistribution from live injury reports, positional & shot-zone Defense vs. Position (DvP), multi-game Head-to-Head (H2H) history, jump-ball tip-off win physics, and Vegas implied pace/totals into a single unified board.
Backtested across multi-season NBA play-by-play and box-score distributions, the highest-conviction positive expected value (+EV) plays occur when all three situational pillars align:
The master slate ranking across all props and First Basket candidates. Synthesizes simulated win probability, mathematical Expected Value (+EV%), role stability, positional DvP, H2H history, and recent L5/L10 form.
Displays the model's exact mean stat projection alongside the empirical percentage of 10,000 Monte Carlo simulations that clear the Over or Under (or score the First Basket).
The mathematical profit margin comparing Moneyball's simulated true probability against live sportsbook odds (DraftKings, FanDuel, BetMGM, Caesars). Displays true no-vig Fair Odds alongside market pricing.
Shows the player's simulated outcome distribution from their 10th-percentile floor to their 90th-percentile ceiling, accounting for minute variance, foul trouble, and blowout risk.
Evaluates how the opposing defense defends PG, SG, SF, PF, or C specifically β plus dynamic Rim/Paint allowed frequency and Team Rebound Box-Out share for interior scorers and rebounders.
Weights multi-game historical box scores against today's specific opponent (up to 42% blend weight when 5+ H2H games exist) to capture scheme-specific defensive matchups and box-out clampdowns.
10-game visual timeline with color-coded bars showing exact game-by-game results against the active prop line, paired with L5, L10, Season, and H2H hit-rate percentages.
Integrates combined team pace (possessions per 48 minutes), Vegas over/under environment, and point-spread blowout probability that can trim 4th-quarter starter minutes.
Every player prop and First Basket candidate on the slate is categorized into five actionable confidence tiers based on composite FullStack scores, simulated win probabilities, and mathematical +EV edge:
π First Basket, π₯ Points, πͺ Rebounds, π― Assists, π 3-Pointers, β‘ P+R+A, π§€ Steals, π« Blocks, and π All Props.Today and Tomorrow slates or click any specific game pill (e.g., CLE @ OKC) to isolate players in a single matchup.FS Score, Edge (+EV%), Win Prob %, Projection, or L10 Hit %, and filter specifically for Overs Only, Unders Only, or π DK Most Bet.22.5 to 20.5) or custom sportsbook odds (e.g., -115) and re-run 10,000 Monte Carlo trials on the fly.The Trending Props Engine (/trending) scans verified NBA game logs across every active player on the slate to uncover high-probability Over/Under hit rates, active streaks, Head-to-Head matchup dominance, and DraftKings Most Bet convergence.
Simultaneously evaluates hit rates across L5 (recent momentum), L10 (core form), Current Season, Prior Season, and H2H vs. Tonight's Opponent for both Overs and Unders.
Blends empirical hit-rate consistency with our 10,000-trial Monte Carlo projection edge so you never blindly chase a historical streak into a bad matchup.
Highlights trending props that are also among the most heavily bet player props on DraftKings Sportsbook, complete with live ticket popularity rankings.
Instantly surfaces players who have historically dominated β or been consistently clamped by β tonight's specific opposing team scheme.
The NBA Game Simulation Engine (/game_ml) executes 10,000 correlated possession-level Monte Carlo simulations per matchup, projecting exact team scores, Moneyline win probabilities, Against The Spread (ATS) cover rates, and Over/Under game totals.
Both teams share a dynamically sampled game pace in every simulated trial, accurately capturing overtime frequency, high-tempo shootouts, and half-court defensive grinds.
Integrates Offensive & Defensive Efficiency (ORTG/DRTG), Effective Field Goal % (eFG%), Turnover Rate (TOV%), Offensive Rebound Rate (ORB%), and Free Throw Rate (FTR).
Applies calibrated adjustments for Back-to-Back (B2B) fatigue, road trip density, altitude home-court advantages (Denver/Utah), and missing starter net-rating impact.
Categorizes game edges by mathematical divergence vs. sportsbook lines: βββ 3-Star Best Bet (Elite Edge), ββ 2-Star Strong Value, β 1-Star Lean.
π BEST SPREAD, π₯ BEST TOTAL, π BEST ML, πΆ VALUE DOG).The Public & Sharp Betting Splits Engine on the NBA and CBB Game Models ingests live betting splits directly from both DraftKings Sportsbook and Yahoo Sportsbook. Toggle seamlessly between books to track real-time capital allocation between casual public tickets and institutional sharp handle across Moneylines, Spreads, and Over/Under Totals.
The percentage of individual betting slips placed on each side. Heavily reflects casual fan sentiment, public favorites, and star-player hype.
The percentage of total dollar volume wagered. Heavy handle concentrated on a smaller percentage of tickets signals professional syndicate and high-roller backing.
π― Sharp / π₯ Whale)
Automatically triggers when % of Money - % of Bets ≥ +8% (Sharp) or ≥ +18% (Whale). Signals outsized institutional capital creating sportsbook liability.
π€ CONSENSUS)
Highlights when both overwhelming ticket count (≥65% bets) and heavy dollar handle (≥65% money) align on the same side without reverse-line trap signals.
π₯ PUBLIC TRAP)
Triggers when recreational bettors pile onto a popular favorite or Over (≥65% tickets) while actual dollar handle lags far behind, creating prime contrarian fade value.
Switch between DraftKings and Yahoo splits directly inside any matchup card to verify whether sharp money flow is book-specific or market-wide across sportsbooks.
How to combine Moneyball's mathematical simulation projections with real-time public/sharp betting splits and live NBA injury wire updates to maximize long-term Expected Value (+EV):
Casual bettors overwhelmingly bet NBA Overs, star player Overs, and marquee favorites. When the public piles onto an Over or favorite while our model projects the Under or underdog, you are capturing artificially inflated lines with built-in mathematical +EV.
NBA syndicates move fast on late shootaround news, rest management, and lineup scratches. When heavy sharp handle diverges against a baseline model lean, it often flags late breaking rotation or injury news before the broader market adjusts.
β’ NBA Player Props & First Basket Model (/ & /trending): Ingests the live ESPN NBA injury wire and RotoWire confirmed/projected starting lineups. Players marked Out or Doubtful are automatically removed, and vacated usage is redistributed strictly when real rotation starters (18+ MPG) are absent β preventing bench absences from artificially inflating star projections.
β’ H2H & Rim/Paint Defense Priority: When a player has 2+ Head-to-Head games against tonight's opponent, the engine prioritizes their real H2H box-score history and applies dynamic opponent rim-allowed frequency and rebound box-out share.
β’ π― The Pro-Tip (Sharp Handle as your Late Scratch Radar): NBA injury reports intensify 30β60 minutes before tip-off. When you see a sudden π₯ Whale / π― Sharp Handle spike in the DraftKings or Yahoo splits tab, check the matchup's injury tags for late GTD status changes!
| Scenario | Model Pick | Sharp Handle | Public Tickets | Recommended Action |
|---|---|---|---|---|
| π 3-Way Synergy | Edge on Side / Total A | Heavy Handle on A | Heavy Tickets on B | MAX BET / TOP CONVICTION |
| π₯ Classic Public Fade | Edge on Under / Dog | Neutral / Moderate | 70%+ on Over / Fav | HIGH VALUE (+EV FADE) |
| βοΈ Model vs Sharp Clash | Edge on Side A | Heavy Handle on Side B | 50% / 50% | CHECK LATE INJURIES / 0.5U |
The NCAA College Basketball Simulation Engine (/cbb) is engineered specifically for the unique pace, efficiency disparities, and conference dynamics of Division I college hoops across all 362 D-I programs:
Ingests live BartTorvik Adjusted Offensive Efficiency, Adjusted Defensive Efficiency, Barthag power ratings, and Four Factors splits across all 362 NCAA Division I teams.
Models extreme college tempo clashes β from slow-paced 61-possession half-court grinders to 76-possession full-court press systems β with college-calibrated variance.
Applies conference-aware college home-court advantage (+3.4 pts standard, zeroed automatically for early-season MTEs, conference tournaments, and March Madness neutral courts).
Scrapes up to 35 pages of DraftKings college basketball betting splits on massive Saturday and tournament slates to flag sharp mid-major handle and Top-25 public traps.
Moneyball NBA goes beyond box-score averages by modeling granular court geometry, matchup physics, and lineup synergy:
Cross-references each player's shot profile (Rim/Paint share, Mid-Range share, 3PT share) against the opponent's exact rim-allowed frequency and perimeter 3PT suppression.
Adjusts individual rebound projections and scoring second-chance opportunities using live opponent team rebound rate (REB%) and paint box-out efficiency.
For First Basket markets, simulates the opening tip-off win probability between starting centers and weights each starter's first-3-minute field goal attempt share.
When high-minute starters (18+ MPG) are ruled Out, their vacated usage is proportionally absorbed by remaining starters based on positional overlap and historical on/off splits.
The Poisson-Gamma Compound Monte Carlo Engine runs 10,000 independent game trials for every player prop and matchup to model realistic basketball variance rather than static single-number projections.
Each trial first samples the player's realistic minute load (accounting for foul trouble and blowout risk) and then samples per-minute production from a Gamma-Poisson compound distribution.
Simulates Points, Rebounds, and Assists jointly across shared game-minute and pace draws so combo props (PRA) reflect true positive covariance.
Properly accounts for exact integer pushes (e.g., landing on 20 points on a 20.0 line) as well as standard half-point hooks (20.5) when computing Over/Under win probabilities.
Compares empirical simulation probabilities against live sportsbook odds to calculate exact Expected Value (+EV%) and fair-value pricing in real time.
Moneyball NBA is built as a high-performance progressive web application (PWA) with zero installation required, adapting across all modern devices and screen sizes:
Optimized for iOS (iPhone Safari) and Android (Chrome) with touch-friendly market tabs, compact 30-card pagination, and instant custom line 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 and interactive gamelog modals.
Native integration inside the Whop apps, dashboard webviews, and standalone browser sessions with instant local cache refresh.
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