# Beijing Guoan FC vs. Shanghai Haigang FC

> Beijing Guoan FC leads at 53%, runner-up 26% across 3 winner-take-all outcomes — refreshed 12 min ago.

URL: https://simplefunctions.dev/odds/beijing-guoan-fc-vs-shanghai-haigang-fc
Updated: 2026-05-09T06:35:28.007Z
Category: general · Topic: china
Status: active
Closes: 2026-05-10

## Headline

- Leader: Beijing Guoan FC at 53%
- Runner-up: Draw (Beijing Guoan FC vs. Shanghai Haigang FC) at 26%
- Outcomes: 3 (winner-take-all)
- Venue: Polymarket (3 contracts)
- 24h volume: $14

## Bound contracts (3)

| Outcome | Price | 24h | Volume | Venue | Slug |
|---|---|---|---|---|---|
| Beijing Guoan FC | 53¢ | +2pp | $0 | polymarket | /markets/beijing-guoan-fc-vs-shanghai-haigang-fc-beijing-gu-polymarket-0xdbc00f29e2b0dc4bcfa54233662b0e499344a4ffe9d49da5ce04dfa48484d4fe |
| Draw (Beijing Guoan FC vs. Shanghai Haigang FC) | 26¢ | +2pp | $0 | polymarket | /markets/beijing-guoan-fc-vs-shanghai-haigang-fc-draw-beiji-polymarket-0x1d4e658bb4948b8ba78ac7edc0131fde3ebb5f7371235681e67a4df39fdabbdc |
| Shanghai Haigang FC | 23¢ | ±0 | $14 | polymarket | /markets/beijing-guoan-fc-vs-shanghai-haigang-fc-shanghai-h-polymarket-0x46771edc013125b1f059a2ad6bf8d1146cb062f61ad9374ac26f89c667621f8f |

## 30-day trajectory

| Day | Beijing Guoan FC | Draw (Beijing Guoan FC vs. Shanghai Haigang FC) | Shanghai Haigang FC |
|---|---|---|---|
| 2026-05-06 | 52 | 29 | 28 |
| 2026-05-07 | 55 | 23 | 20 |
| 2026-05-08 | 57 | 23 | 20 |
| 2026-05-09 | — | 25 | — |

_4 days of price history captured. Each row is the daily mean of intraday 5-min captures._

## What moved the line

- 2026-05-07 · Shanghai Haigang FC −8pp 28→20¢ · polymarket
- 2026-05-07 · Draw (Beijing Guoan FC vs. Shanghai Haigang FC) −6pp 29→23¢ · polymarket
- 2026-05-07 · Beijing Guoan FC +3pp 52→55¢ · polymarket

## Methodology

Headline is the **leader's price**, not an arithmetic mean — averaging disjoint winner-take-all outcomes is meaningless. Per-outcome prices come from the venue's last-traded mid; cross-venue values are simple means across contracts on each venue.

## How to use this data

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- Topic hub: https://simplefunctions.dev/predictions/china

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