NBA Game Predictions & Team Matchups
Team vs team
Neural-network quantile predictions expanded into a calibrated distribution for spread, total and win probability — the full shape, not one number.
- Spread
- Over / Under
- Total range
- Win sim
NBA & college basketball
Your first prediction is free.
Points, rebounds, assists, blocks, steals, threes, turnovers, combos and full team matchups — each one returns a calibrated machine-learning projection, not a guessed number.
No account needed for the first one. Sign up after for 4 more, no card needed.
The engine room
Team vs team
Neural-network quantile predictions expanded into a calibrated distribution for spread, total and win probability — the full shape, not one number.
Points · Reb · Ast · Blk · Stl · 3PT · TO · Combos
Per-player distributions built on dynamic form features and opponent defensive rating, with a neural fallback when game logs are thin.
NCAA Men's D-1
A parallel data stack for college basketball — team and player logs, transfer-portal aware roster mapping, the same simulation engine.
The pipeline
Trained neural networks load, features are built from nightly-refreshed schedules, rosters and logs, and a full 99-point distribution is predicted in one pass.
Calibrated Monte-Carlo samples are drawn from those quantiles — thousands of versions of the same game.
Change a line, a minute total or a prop and the answer recomputes instantly against the samples you already have.
By the numbers
Nothing here is a formula's output. Every projection comes from neural networks trained on millions of historical data points — and because they predict a whole distribution rather than a single number, you can ask a different question of the same run and get an answer instantly.
Millions
Of data points behind every neural network
Separate networks are trained per position and per stat, each one predicting the full range of outcomes in a single pass — so what you get back is a shape, not a point estimate.
9
Prediction models
One team model, seven props, one combiner
99
Quantiles per head
The whole predicted shape, in one pass
1,588
Player cards
686 current · 902 all-time
30
NBA teams
Complete league coverage
13
Nightly refresh phases
Incremental, isolated failures
05:00
ET daily refresh
Logs, rosters, ratings, form
College basketball runs on the same engine with a separate data stack — see exactly what is covered, including what is not.
Pricing
Purchased credits never expire. Every prediction costs one credit — a full team matchup is priced the same as a single player prop — and the extras show their price on the button before you run them. Buy more at once and the rate drops.
Before you buy anything
Your first prediction is free. 4 more when you sign up.
Run one Team Matchup with no account at all. Sign up and the other 4 work on any model; free credits last 30 days, and you only buy a pack when you want more.
What one credit buys
One model run — the simulation itself. Once it exists you can change the sportsbook line, test a range, flip between analytics tabs and re-read the distribution as many times as you like at no extra cost, because those questions query samples you already paid for. Box Score and the Explanation panels are separate runs and show their price on the button.
Re-running does cost
Changing the scenario — different minutes, a different defender, a new opponent — rebuilds the simulation and spends one credit more. That is the expensive part: 20,000 to 30,000 samples per run.
Paid
Prediction
Matchup or any player prop · per run
Combo prop
Charged once, only if every stat succeeds
Box Score
No charge at the moment
Explanation
Per run
Always free
Prices show on every button. Credits are only taken when a result is delivered.
Prices are in USD and exclude any tax that applies where you are. Payments are processed by Stripe — your card details are entered on Stripe's own checkout page and never reach us.
FAQ
SportzPRED is a basketball analytics and prediction platform that uses machine-learning models and simulations to analyze NBA and NCAA basketball games, team matchups, and player performance.
SportzPRED uses trained neural networks and Monte Carlo simulations to model possible game and player outcomes. Users can explore projections and test different scenarios to better understand potential results.
SportzPRED provides team matchup projections, including spreads, totals, and win probabilities, alongside player projections for points, rebounds, assists, blocks, steals, three-pointers, turnovers, and combined statistics.
Yes. SportzPRED supports NCAA Division I men's basketball, with team and player data and a separate college basketball data system. A selected set of teams is available now, and full Division I coverage is coming soon.
Yes. Users can adjust inputs such as a player prop line or projected minutes and explore the resulting calculations. Changing a scenario that requires a new simulation costs the same as a new prediction run.
SportzPRED uses a pay-per-credit model rather than a recurring subscription. You buy credits and spend them on prediction runs and some additional features, and purchased credits do not expire. See current prices →
No. Basketball outcomes are uncertain, and statistical projections cannot guarantee results. SportzPRED provides model-based estimates for informational and educational purposes, not guaranteed outcomes or betting advice.
SportzPRED lets users explore modeled distributions and test scenarios, rather than relying only on a single predicted number. Its platform combines team matchup analysis, player projections, and simulation-based exploration.
Pick a game, set up the scenario, run the sim, and read the distribution instead of the headline.
Try a free predictionYour first prediction is free, no account needed. 4 more when you sign up. No card needed.