In “Which Should You Bet On to Win Efficiently in Baccarat: Player or Banker? (Part 1),”
I explained that the banker side has a slightly higher probability of winning compared to the player side.
Based on this, it’s reasonable to conclude that betting on the banker is more effective for earning efficiently in baccarat.
Furthermore, among the various betting strategies, the Monte Carlo method is more suitable than the Martingale or Paroli (Parlay) systems.
The reason I recommend the Monte Carlo method is that it is designed on the assumption that losses will occur.
Also, since baccarat makes it difficult to aim for consecutive wins or losses—unlike roulette—and predicting outcomes is more complex, the Monte Carlo method becomes a more practical choice.
Let’s take a closer look at the reasons behind this recommendation.
(1) The Monte Carlo Method Is Designed with Losses in Mind
Baccarat is a game where the odds of winning are roughly 50%, so it’s natural that you’ll experience both wins and losses.
If you play 100 rounds, it’s almost impossible to win all 100. You’ll inevitably face losses, even if you have winning streaks along the way.
The Monte Carlo method is intended to handle such patterns, making it a good match for baccarat, which fluctuates between wins and losses.
(2) Baccarat Makes It Harder to Aim for Winning or Losing Streaks
In roulette, players can bet on red or black, even or odd, and adjust their bets accordingly. This makes it easier to chase winning or losing streaks, and strategies like the Martingale or Paroli systems can be highly effective.
However, baccarat—with its 50/50 odds and fixed outcomes—is not as conducive to targeting streaks as roulette is.
That’s why the Monte Carlo method, which is not dependent on long streaks but rather built to absorb losses, is a better strategic fit.
(3) It’s Difficult to Predict Each Individual Outcome in Baccarat
In baccarat, depending on the total value of the first two cards dealt, a third card may be drawn. This introduces uncertainty and makes each round partially influenced by remaining cards.
While some players try to predict outcomes using “roadmaps” (scorecard patterns), mastering this technique requires significant time and experience.
Because of this complexity, predicting the result of each round in baccarat is harder than in roulette, where the result is determined by a single spin.
Therefore, using a strategy like the Monte Carlo method—which is built to recover from losses rather than rely on accurate predictions— makes gameplay easier and more sustainable.
You might wonder, “If it’s about handling losses, wouldn’t the Martingale system work too?”
It’s true—the Martingale method is often mentioned as a viable strategy for baccarat. However, it comes with a major downside: when you hit a losing streak, the bet size escalates rapidly, leading to high risk and potentially devastating losses.
In contrast, the Monte Carlo method keeps the increase in bets more gradual, which helps control risk.
Even during a losing streak, it won’t inflate your losses as dramatically as the Martingale, making it a safer and more balanced approach for baccarat.
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