> For the complete documentation index, see [llms.txt](https://whitepaper.gamerge.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.gamerge.ai/gamerge-ecosystem/ecosystem/gaming-model/one-on-one-competitive-matches.md).

# One-on-One Competitive Matches

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For players seeking competitive thrill and rewards:

<figure><img src="/files/WUolvqLCVdXVSUc4Lkla" alt=""><figcaption><p>1v1 match flow</p></figcaption></figure>

• **Burning and Referral Model:**\
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**– Winner Takes 90% of the Pool:** Incentivizes skillful play and competitive spirit.\
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**– 5% Burned (for GMG Tokens):** This mechanism reduces the total supply of GMG over time, potentially increasing the token’s value and benefiting all holders.\
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**– 2.5% to Referral of Players 1 and 2:** Encourages users to refer others, promoting organic growth and community building.

**• Multiple Pool Options:** Players can choose from various stakes (e.g., 1 USDT, 2 USDT, 5 USDT, and 10 USDT), accommodating different risk appetites.

**• Crypto Selection:** The ability to choose which cryptocurrency to wager adds flexibility and caters

to users who prefer specific tokens.

**• Automated Matchmaking:** Our system pairs online players efficiently, ensuring minimal wait

times and a seamless gaming experience.