The Турнир neural network trains on real draws right in your browser and scores the probability of every ball (36 in total) for the next draw. Data includes draw #038753 of 11.07.2026.
The machine learning model scans the sequence of past draws through a sliding window, detects statistical deviations and turns them into probabilities. Those probabilities become a ready-to-play combination, and backtesting shows how such predictions would have performed against real past draws.
Турнир draws are independent, and no algorithm can raise your odds of winning. The neural network is a selection system: if you prefer picking numbers from statistics rather than at random, it does that for you — and backtesting shows the honest result.
Training Data
Data is loaded from the server once and used for model training in the browser
Model Configuration
Backtest (Historical Validation)
The backtest uses the trained model to predict test draws — the last 0 draws that were not included in training (the test set size is configured in model parameters). For each test draw, the model receives previous draws (window size) as input and selects balls with the highest probability — exactly like the "Predict" button.
How to Use the Neural Network for Турнир
Load data
Click "Load Data" to get the full draw archive.
Configure and train the model
Set parameters, compile the model, and start training. Monitor the Loss and Accuracy charts.
Get a prediction
After training, click "Predict" to get probabilities for each ball.
Verify on history
Run backtesting to evaluate the model's prediction quality on real historical data.
Where to next
Combination Generator
Ready Турнир combinations in one click — no model training needed.
OpenHot Numbers
The most frequently drawn numbers — a ready hint with zero setup.
OpenNext Draw Analysis
What statistical methods say about the upcoming Турнир draw.
OpenMarkov Chains
Transition probabilities between numbers — another mathematical take on the next draw.
OpenNotebook
Save combinations and check them against draw results automatically.
OpenТурнир Neural Network FAQ
Can AI predict Турнир winning numbers?
Not with any guarantee — every draw is independent. But the neural network finds statistical deviations in the archive and scores each ball with a probability, which is a data-driven way to pick numbers instead of guessing. Prediction quality is verified by backtesting on real Турнир history.
How do I pick numbers with the neural network?
Load the draw archive, train the model (usually under a minute), press "Predict" to get ball probabilities. The "Generate" button turns them into ready combinations you can save to your notebook.
Do I need to download anything or pay?
No. The neural network runs right in your browser — no apps or software to install. The free tier includes training on 50 draws and one prediction per day; Premium lifts the limits: up to 5000 draws, unlimited predictions and backtesting.
What is the sliding window (Train Window)?
The sliding window determines how many previous draws the model analyzes to predict the next one. For example, with a window of 5, the model looks at the last 5 draws.
Is the trained model saved?
Yes, the model is saved in browser storage (IndexedDB) — you can load it later without retraining. All training happens locally: your data is never sent to third-party servers.
How is the neural network different from a random number generator?
A generator picks numbers with equal probability, like the lottery machine itself. The neural network weights each ball by Турнир draw history and favors the ones where it detected a statistical deviation. Two different ways to get a combination — compare them with backtesting.