> For the complete documentation index, see [llms.txt](https://projectblur.gitbook.io/project-blur-1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://projectblur.gitbook.io/project-blur-1/nft/modern-chest/bnb-chest.md).

# BNB Chest

Each avatar or weapon NFT, after completing the first 3 rounds of the game each day (refreshed at 00:00 every day), will have the opportunity to participate in a lottery to obtain a certain number of $BNB treasure chest fragments in My Account in the Marketplace, based on the NFT's level (see table). During each lottery draw, players will have an equal chance of obtaining $BNB treasure chest fragments.

| Avatar | lottery chances per 3 games everyday |
| ------ | ------------------------------------ |
| R      | 5                                    |
| SR     | 10                                   |
| SSR    | 15                                   |
| UTR    | 20                                   |

| Weapon   | lottery chances per 3 games everyday |
| -------- | ------------------------------------ |
| Uncommon | 5                                    |
| Rare     | 10                                   |
| Epic     | 20                                   |

Probability of obtaining $BNB Chest fragments：50%

After accumulating 10 $BNB Chest fragments, you can combine them to create one $BNB treasure chest. Upon opening the treasure chest, you will have the following chances to obtain $BNB based on the probabilities below.

| $BNB Reward in $BNB Chest |                      |
| ------------------------- | -------------------- |
| Probability               | Rarity of $BNB Chest |
| 15%                       | Common               |
| 55%                       | Uncommon             |
| 20%                       | Rare                 |
| 10%                       | Epic                 |

<figure><img src="https://lh6.googleusercontent.com/sxsXwrk6YLDGWbuYzDBxKqYT60i7HTMoEsXZyoiDVq3IaU4XL9skRiO0xRf1uo2C8-R2qIqQbCgKqbIi6PjVBoaJ-JAXnX2TB8Ui_R22EFZqDheQqwZ4JFB4aOXYnXex-CTBe-gOcuX6QsvC-Ov4pdM" alt=""><figcaption></figcaption></figure>