📊 Active Projections 📈 Historical Results
Live
How to use Projections?
AI All Markets 47.5% 57-63
AI Moneyline 52.5% 21-19
AI Against The Spread 47.5% 19-21
AI Totals 42.5% 17-23
SIM All Markets 64.2% 79-44
SIM Moneyline 53.7% 22-19
SIM Against The Spread 53.7% 22-19
SIM Totals 85.4% 35-6
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Get instant access to full XGBoost machine learning predictions, 10,000 Monte Carlo simulation runs, market value edges, and real-time trend intelligence.

XGBoost AI Model
Calibrated ML, Spread, and Total grades
10k Monte Carlo Runs
Deep game simulation breakdowns
Value Edge Detection
Identify mispriced bookmaker lines
All Sports Included
MLB, NBA, NFL, NHL, Soccer & College
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How to use Projections
1. AI Line vs. Vegas Odds

Our machine learning models project the true line for every game (Vig-Free). Compare this to the live Vegas line (Moneyline, Spread, and Over/Under) to find discrepancies.

2. Win Probabilities

Contrast the model's projected win percentage against the bookmaker's implied probability (derived from their moneyline). A positive difference means value.

3. AI vs. SIM Models

We leverage two separate modeling methodologies:

  • AI Model: Predictive neural networks trained on historical team statistics, player match-ups, and weather conditions.
  • Simulation Engine (SIM): Runs 10,000 Monte Carlo game simulations to model distribution ranges and final score records.
4. Value Edge Grades

Expected Value (EV) edges are graded to reflect the historical strength of the projection advantage:

  • Grade A (Star): Premium, high-confidence edge with maximum statistical divergence.
  • Grade B: Solid, medium-confidence advantage with a historical profit expectation.
  • Grade C: Minor lean with lower statistical edge.