Tournament Calculating Optimal Rebuy and Add-on Strategies in Rebuy Tourneys David Parker URL has been copied successfully! A mathematical approach ensures that each rebuy contributes to your chance of reaching the final table Rebuy tournaments offer a unique challenge to poker players because they mix traditional strategy with calculated risk management. Knowing when to rebuy or add on can make the difference between a deep run and an early exit. The key is to treat every rebuy decision as an investment, not an impulse. Players who understand chip value and tournament structure often gain a huge edge in this format. The first step is evaluating your stack in relation to the blinds and average chip count. If you’ve lost a large portion of your chips early, a rebuy may be the most efficient way to stay competitive. However, if blinds are still low and you maintain enough chips to play comfortably, waiting for stronger hands before risking another buy-in could be wiser. Smart players only rebuy when it increases their expected value, not just to chase lost chips. Timing also plays a critical role. Early in a rebuy period, it can be beneficial to take more aggressive lines, knowing that a rebuy is available if things go wrong. Late in the period, however, caution becomes more important since another buy-in would add fewer big blinds relative to the average stack. Understanding when the rebuy period ends helps balance risk and reward effectively. Add-ons at the break are another key consideration. Generally, taking the add-on is profitable because the cost per chip is often cheaper than the initial buy-in rate. Players who decline the add-on usually give up valuable equity heading into the post-rebuy phase. It’s especially important in deep-structure events where chip accumulation early translates into greater long-term leverage. Ultimately, successful rebuy and add-on strategies depend on discipline and situational awareness. Treating rebuys as strategic tools — rather than emotional reactions — allows players to maximize value while minimizing risk.