Bankroll management is arguably the most important skill for anyone seriously engaging with football predictions, yet it is also the most commonly neglected. Even with the most accurate AI predictions available, poor bankroll management will lead to capital erosion over time. At 1X2.TV, we believe in providing not just predictions but the strategic framework to use them responsibly.

Fundamental Bankroll Principles

Define Your Bankroll

Your bankroll is the total amount you have allocated specifically for prediction activities. It should be an amount you can afford to lose entirely without impacting your daily life. Never use money allocated for rent, bills, or other necessities.

Unit-Based Staking

We recommend dividing your bankroll into units of 1-2% each. If your bankroll is 1000, one unit is 10-20. No single wager should exceed 5 units (5% of bankroll) regardless of confidence level. This approach ensures that even a losing streak of 10+ consecutive losses will not eliminate your bankroll.

Kelly Criterion for Optimal Staking

The Kelly Criterion is a mathematical formula that calculates the optimal stake size based on the perceived edge (difference between your estimated probability and the implied probability of the odds). Our AI predictions provide the probability estimates needed to apply Kelly, and we recommend using fractional Kelly (typically 25-50% of full Kelly) to reduce variance while still maximizing long-term growth.

Tracking and Review

Maintain a detailed record of all wagers: date, selection, odds, stake, and result. Regular review of your tracking data reveals patterns in your approach that can be refined. 1X2.TV's prediction history allows users to analyze the performance of our models over time, helping inform staking decisions.

Emotional Discipline

The most common bankroll mistake is increasing stakes after losses to chase recovery. Our AI models are emotionless by design — they produce the same quality predictions regardless of previous results. Users should strive to emulate this discipline in their staking approach.