Where AI Meets Sports Analytics.

Heavy data pipelines per sport (~1 hour per full cycle). Every league gets an early-morning run, plus intraday passes for injuries and lineups (especially NBA), weather, and new markets including props—so projections stay current before game time.

Each game goes live as soon as processing finishes. Early or international games appear earlier; slates keep updating through the day so you always see the latest posted edge.

Team history and statistical models drive projected scores. They often sit close to sportsbook numbers on purpose—books use similar math. We stay opinion-free so value stands out against a clear baseline.

Every game includes a Previous Games tab with key metrics over the last 3, 5, and 10 games for fast form checks.

100,000 simulations per game feed intuitive percentages: moneyline win, spread cover, and over/under—easier to act on than raw counts.

Each prop runs through its own model; AI layers in matchup, usage, and trends. Output is a win probability. Open a prop for recent performance at that line (last five games).

Edge is the gap between our model and the book, shown as a percent. Positive tilts toward your side; negative favors the house. No bet is guaranteed—positive edge is how you think about long-term EV.

~30-second reads: matchup notes, market context, and Top Angles—our scan across ML, spread, totals, props, and more for the strongest prices vs. the model.