# Chess Dawgs

#### **1. Understanding the Play-to-Burn Mechanism**

In **Chess Dawgs**, each game involves:

* **Two Players** placing an **equal bet** in $DDawgs tokens.
* **Total Prize Pool per Game**: 2×Bet per Player=2B2 \times \text{Bet per Player} = 2B2×Bet per Player=2B
* **Tokens Burned per Game**: **10%** of the prize pool =0.1×2B=0.2B= 0.1 \times 2B = 0.2B=0.1×2B=0.2B

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#### **2. Total Tokens to be Burned**

* **Total Supply of $DDawgs**: **313 billion**
* **Target Burn**: **50%** of total supply =0.5×313 billion=156.5 billion= 0.5 \times 313 \text{ billion} = 156.5 \text{ billion}=0.5×313 billion=156.5 billion

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#### **3. Calculating the Number of Games Required**

To determine the number of games needed to burn **156.5 billion $DDawgs**, we use the following formula:

Number of Games (G)=Total Tokens to BurnTokens Burned per Game=156.5 billion0.2B=782.5 billionB\text{Number of Games (G)} = \frac{\text{Total Tokens to Burn}}{\text{Tokens Burned per Game}} = \frac{156.5 \text{ billion}}{0.2B} = \frac{782.5 \text{ billion}}{B}Number of Games (G)=Tokens Burned per GameTotal Tokens to Burn​=0.2B156.5 billion​=B782.5 billion​

Where:

* BBB = **Bet per Player** in $DDawgs

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#### **4. Determining Games per Month**

Assuming you have a specific timeframe in mind (e.g., **12 months**), the monthly games required can be calculated as:

Games per Month=782.5 billionB×12\text{Games per Month} = \frac{782.5 \text{ billion}}{B \times 12}Games per Month=B×12782.5 billion​

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#### **5. Example Calculations**

Let's explore a couple of scenarios with different bet amounts to illustrate how the number of required games changes.

**Example 1: Moderate Bet Size**

* **Bet per Player (B)**: **1,000,000 $DDawgs**

\text{Tokens Burned per Game} = 0.2 \times 1,000,000 = 200,000 \text{ $DDawgs} Total Games Required=156.5 billion200,000=782,500 games\text{Total Games Required} = \frac{156.5 \text{ billion}}{200,000} = 782,500 \text{ games}Total Games Required=200,000156.5 billion​=782,500 games Games per Month=782,50012≈65,208 games/month\text{Games per Month} = \frac{782,500}{12} \approx 65,208 \text{ games/month}Games per Month=12782,500​≈65,208 games/month

**Example 2: Higher Bet Size**

* **Bet per Player (B)**: **5,000,000 $DDawgs**

\text{Tokens Burned per Game} = 0.2 \times 5,000,000 = 1,000,000 \text{ $DDawgs} Total Games Required=156.5 billion1,000,000=156,500 games\text{Total Games Required} = \frac{156.5 \text{ billion}}{1,000,000} = 156,500 \text{ games}Total Games Required=1,000,000156.5 billion​=156,500 games Games per Month=156,50012≈13,042 games/month\text{Games per Month} = \frac{156,500}{12} \approx 13,042 \text{ games/month}Games per Month=12156,500​≈13,042 games/month

**Example 3: Smaller Bet Size**

* **Bet per Player (B)**: **500,000 $DDawgs**

\text{Tokens Burned per Game} = 0.2 \times 500,000 = 100,000 \text{ $DDawgs} Total Games Required=156.5 billion100,000=1,565,000 games\text{Total Games Required} = \frac{156.5 \text{ billion}}{100,000} = 1,565,000 \text{ games}Total Games Required=100,000156.5 billion​=1,565,000 games Games per Month=1,565,00012≈130,417 games/month\text{Games per Month} = \frac{1,565,000}{12} \approx 130,417 \text{ games/month}Games per Month=121,565,000​≈130,417 games/month

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#### **6. Summary Table**

| **Bet per Player (B)** | **Tokens Burned per Game** | **Total Games Required** | **Games per Month (12 Months)** |
| ---------------------- | -------------------------- | ------------------------ | ------------------------------- |
| 500,000 $DDawgs        | 100,000 $DDawgs            | 1,565,000 games          | 130,417 games/month             |
| 1,000,000 $DDawgs      | 200,000 $DDawgs            | 782,500 games            | 65,208 games/month              |
| 5,000,000 $DDawgs      | 1,000,000 $DDawgs          | 156,500 games            | 13,042 games/month              |

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#### **7. Factors to Consider**

1. **User Base Growth**: As more players join **Chess Dawgs**, the number of games played per month can increase, accelerating the burn rate.
2. **Bet Adjustments**: Adjusting the bet size can help control the burn rate to align with your ecosystem's sustainability goals.
3. **Game Popularity**: Higher engagement and retention rates lead to more games played, directly impacting the number of tokens burned.
4. **Marketing and Incentives**: Effective marketing strategies and in-game incentives can boost player participation, contributing to a higher number of games.

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#### **8. Recommendations**

* **Monitor and Adjust**: Regularly monitor the burn rate and adjust the bet sizes or other game mechanics to ensure sustainability.
* **Incentivize Higher Bets**: Encourage players to place higher bets through rewards or bonuses to increase the tokens burned per game.
* **Expand Player Base**: Focus on growing the community to naturally increase the number of games played each month.

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#### **Conclusion**

Achieving a **50% burn** of the **313 billion $DDawgs** token supply requires strategic planning around bet sizes and player engagement. By understanding the relationship between the bet amount and the number of games needed, **Chess Dawgs** can effectively manage its tokenomics to support a healthy and sustainable ecosystem.
