---
title: "Paris 2023 Viewer Pass"
url: "https://waxpeer.com/zh/paris-2023-viewer-pass/item"
game: "CS2"
lang: "zh"
currency: "USD"
updated: "2026-10-06T15:04:07.271Z"
---

# Paris 2023 Viewer Pass

CS2 › pass › Paris 2023 Viewer Pass

Updated: 2026-10-06 15:04 UTC. Prices and listings change often.

## Price

- Lowest listed price: $8.71
- Highest listed price: $57.68
- Listings for sale: 20
- Reference price: $11.00
- Currency: USD

## Details

| Attribute | Value |
| --- | --- |
| Rarity | Base Grade |
| Rating | 3.6 / 5 (45 votes) |

## Featured listing

The listing the item page offers first ("Buy now"). Other listings of this item have their own float and seed.

| Attribute | Value |
| --- | --- |
| Price | $8.71 |
| Paint seed | 0 |
| Typical delivery | about 1 minute |

## Sale orders (first 8 of 20)

| Price | Exterior | Float | Typical delivery |
| --- | --- | --- | --- |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |
| $8.71 |  |  | about 1 minute |

## Description

这是一张封装的 2023年 BLAST.tv 巴黎锦标赛观众通行证。通行证一旦启封，您将获得一枚在锦标赛期间为您追踪竞猜进度的2023年巴黎锦标赛硬币，参与2023年巴黎锦标赛竞猜挑战的所有权限，Steam.tv 聊天胸章，以及赛事期间无限次战队涂鸦。

您可通过完成挑战来升级2023年巴黎锦标赛硬币。硬币每升级一次您都可获得一枚纪念品代币。

其中，50%的收益将用于支持参加此次赛事的俱乐部。

## How to buy on WAXPEER

1. Log in with your Steam account.
2. Add your Steam trade URL, so items can be sent to you.
3. Top up your WAXPEER balance. Available methods include cryptocurrency, bank cards and other local payment methods, depending on your country.
4. Buy the item. The seller sends it to you in a Steam trade offer, which you accept in Steam.

Some listings are under a Steam trade lock and show the date the lock ends. You pay the listed price now, with no surcharge, and delivery starts automatically when the lock ends.

## Links

- Item page: https://waxpeer.com/zh/paris-2023-viewer-pass/item
- Marketplace: https://waxpeer.com/zh/
- Site guide for AI agents: https://waxpeer.com/llms.txt