NEW Personalized Betting System! (state of the art)

Stevyamda

Dear community,


We are Alejandro, Javier, and Lucas, and after a long journey of research and development, we are proud to present a set of completely new betting strategies for the game—designed to adapt precisely to each player's personal preferences. Our strategies match or exceed the performance of well-known systems, and here’s how they work:

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DECISION METHOD (DM)

The first component of a complete strategy is the Decision Method (DM). This refers to the mechanism used to make decisions during each round (hit, stand, double, etc.). The DM determines how your returns are distributed per round.
So far, our strategies incorporate two possible DMs:

• Composition-Dependent Decision (CDD): Chooses the decision that yields the highest expected return at every moment, based on the exact composition of the deck and the hands of both the player and the dealer.
• Basic Strategy: Follows the classical basic strategy rules to make decisions.
  

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BETTING METHOD (BM)

The second component is the Betting Method (BM). This method is based on a card counting system, which generates a “count” based on the cards that have been dealt and is used to extract information about the state of the deck. The idea is that the player can then use this count to calculate the optimal bet size.
Our strategies currently support two types of BMs:

• Composition-Dependent Bet (CDB): Calculates bet size based on the exact composition of the deck before each round.
• True-Count-Dependent Bet (TCDB): Calculates bet size based on the True Count, derived from the Hi-Lo counting system.
  

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ADJUSTABLE STRATEGY

Once a DM and BM are selected, we can proceed to formulate a personalized betting strategy. As we’ve seen, the DM and the deck composition determine the return distribution per round, while the BM yields a "count" tied to that composition. Combining both, we can calculate the following:

• EV(count, DM): The expected return of the upcoming round, given the current count and the chosen decision method.
• STD(count, DM): The standard deviation of the return for the upcoming round, based on the count and decision method.
  

Using EV and STD, we developed a new formula for generating optimized betting strategies. This formula incorporates three user-defined parameters, allowing the strategy to reflect each player’s risk profile and personal objectives:

• ARI (0–20): The Absolute Risk Inclination, based on the initial bankroll.
• RRI (0–20): The Relative Risk Inclination, based on the current bankroll.
• TR (25%, 50%,…200%, etc.): The Target Return the player is aiming to achieve in a single session. Once this return is approached, the strategy will scale down bets and ultimately stop once the target is hit.
  

The optimal bet per round is calculated as:


Wager(ari, rri, tr) = MIN[0.5 * current_bankroll, (EV / STD) * (ari * initial_bankroll + rri * current_bankroll), 0.5 * (1 + tr - current_bankroll)]


This is the most efficient way to reach a target return TR during a betting session, based on the risk tolerance defined by ARI and RRI, and the chosen DM and BM.

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TESTING

All of our 25,000+ strategies have been tested in millions of simulations across the most common Blackjack variants (currently configurable: ENHC, soft 17, double options, penetration, number of decks, etc.). In the SIMULATIONS section of our site, you can visualize both the density distribution and cumulative distribution of your bankroll across up to 10,000 rounds. These graphs are complemented by tables, performance indicators (EV, median, ROR, etc.), and a real-time simulator that lets you track bankroll evolution under any given strategy.

JasmineHart

I see it's been a while since you’ve posted, but I just want to ask if you've made any updates to your system or tested it more since then. I'm curious how it handles streaky shoes or table heat today. Also, has anyone else tried something similar and actually tracked results over a decent sample size? Would love to hear if it's held up or needed tweaking.

Jimboscope

That’s some next-level work right there — love how you’ve combined classical betting theory with personalization and risk management. The ARI/RRI/TR combo is a fresh take and makes it easy to tune the system for both cautious and aggressive styles. Really curious to see how this plays out in live environments vs. just simulations.
If you’re planning to test this system in real play, definitely do it at casinos with great bonuses, listed at emsahara.com. A solid bonus cushion gives you more breathing room for strategy testing — and that’s especially useful when you're experimenting with variable bet sizes and aiming for specific target returns.