01 · QUANTUM ENGINE
Predictions
100,000 Monte Carlo simulations per game. Strength-of-schedule, weather, injury decay, and rest are all priced in before a snap is taken.
Tracking
NFL playoff intelligence for all 32 teams — Cowboys-first but league-wide. Live win probability, AI bracket projections, clutch analytics, and 100,000-simulation forecasts updated every snap, every Sunday.
100,000 Monte Carlo simulations per game. Strength-of-schedule, weather, injury decay, and rest are all priced in before a snap is taken.
AI-projected playoff bracket for both conferences — Wild Card through Super Bowl. Win probabilities for every matchup, updated by the model each week.
An interactive visual timeline that maps every win, loss, injury, trade, and momentum shift — plotted on a date axis with impact scoring across the full season.
A weighted score for every player on every roster: how they play with the game in the balance, the season on the line, the lights at their brightest.
Free users can explore the core dashboard. Pro unlocks saved simulations, advanced model views, weekly reports, and export tools once payments are connected.
For teachers using sports analytics to teach probability, data literacy, and decision-making.
For fans who want premium modeling, saved scenarios, and weekly playoff intelligence drops.
For people interested in investing, sponsoring, or helping turn the prototype into a sports analytics product.
One vote per visitor. Your tap becomes part of the community confidence score that runs alongside the model. NFL-wide fan pulse coming soon.
A playoff-odds calculator became a transparent NFL analytics lab for fans, classrooms, and curious builders.
LoneStar AI started with the question every fan keeps asking: what are the real chances?
The answer became a model: Monte Carlo simulation, live win probability, Clutch Index, scenario paths, and player-impact scoring without the hot-take fog.
The project is open source. Fork it, improve it, use it in class, or help turn it into a sharper sports analytics product.
View GitHub ->Sign in to your command center.
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LoneStar AI access request