| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Beijing Ducks | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Guangzhou Loong Lions | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team will win the Beijing Ducks vs Guangzhou Loong Lions matchup. It matters because market prices aggregate trader expectations about the game's outcome and respond to news that affects team chances.
Both clubs compete in the Chinese Basketball Association (CBA); the Beijing Ducks are a historically prominent franchise while the Guangzhou Loong Lions have been building competitiveness in recent seasons. Match results between these teams reflect roster construction, coaching matchups, and tactical mismatches more than any single off-court factor.
Prediction market prices summarize the balance of money and information on each side — they move as new information (roster updates, injuries, travel or weather issues) arrives and as traders reassess expectations. Lower trading volume can make prices less stable, so consider liquidity when interpreting quoted odds.
The market close time is listed as TBD; platforms typically close markets at or shortly before game start. Check the KALSHI event page for the definitive close time and trade cutoff.
$0 volume indicates no reported trades so far and therefore limited liquidity and information reflected in the price. Until trading activity picks up, quoted prices may be more volatile and less informative than markets with higher volume.
Announcements that a confirmed starter or team-leading scorer, primary playmaker, or key rim defender will miss the game typically move the market most; late-gameday scratches and suspension or international call-ups also drive rapid repricing.
Head-to-head history is factored in as context, but markets weight recent meetings and current rosters more heavily than distant past results. Traders will adjust how much historical patterns matter based on lineup continuity and coaching changes.
Home-court tends to confer advantages through crowd support and reduced travel fatigue, and markets will price those advantages. Long travel, tight road schedules, or limited rest can further depress the away team’s expected performance and influence prices.