TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

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30,526

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MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

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39%

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Kalshi:

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AS Pistoia Basket 2000 vs Libertas Livorno
kalshi

What is the result of AS Pistoia Basket 2000 vs Libertas Livorno?

Volume:
$1,855

Libertas Livorno

 - Kalshi

Libertas Livorno - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 27, 2:45 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Libertas Livorno

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,050
N/A
N/A
$963
Settled
Yes
kalshi

AS Pistoia Basket 2000

0%
Yes 0¢No 100¢
100¢
N/A
$805
N/A
N/A
$734
Settled
No
Total markets: 2

Description

This market tracks the outcome of an upcoming professional basketball game between two Italian teams. The result depends solely on which team secures a victory in the match. Any changes to the game's schedule or cancellation will be handled according to specific guidelines to ensure a fair resolution.

Kalshi

The event determines the winner of the men's professional Italy Serie A2 basketball game between AS Pistoia Basket 2000 and Libertas Livorno, scheduled for September 27, 2026, at 12:00 PM EDT. If AS Pistoia Basket 2000 wins, its corresponding market resolves to Yes, and Libertas Livorno's market resolves to No, and vice versa if Libertas Livorno wins. Should the game be postponed but commence within 48 hours of the original start time, both markets remain open and resolve based on the final official result. If the game is cancelled or fails to start within the 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants. Kalshi disclaims any official affiliation with the governing league, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Italian basketball matchup tracks the current odds for which team will win, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $1,845, and the total volume traded to date, which is $1,855. This provides a real-time view of how PredictionHero users are assessing the likelihood of each outcome in this contest. The dashboard is updated continuously as new trades are made, offering a dynamic perspective on the market's sentiment.

Comparing prediction market odds to those offered by sportsbooks reveals how public sentiment differs from professional oddsmakers. Sportsbooks typically set lines based on statistical models and expert analysis, aiming to balance risk and profit. This market, however, reflects the collective wisdom of PredictionHero users, who may incorporate different information or have unique perspectives. If prediction market odds diverge significantly from sportsbook odds, it could indicate that traders believe the sportsbooks are undervaluing or overvaluing a particular outcome. It's a fascinating way to gauge alternative perspectives on the event's likely result.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the AS Pistoia Basket 2000 versus Libertas Livorno basketball game. The team declared the winner by official game results will determine the winning contract in this market. Traders will be able to see the final result and the corresponding payout for winning contracts once the resolution is complete. It’s important to monitor news sources for official confirmation of the game’s outcome.

Several factors could influence the price movement of this market before resolution. Any news regarding player injuries, changes in team lineups, or coaching decisions could significantly impact trader sentiment. Unexpected performance in other games leading up to the matchup could also shift expectations. Furthermore, general news about the teams or the Italian basketball league could play a role. Even significant shifts in public opinion, as reflected in social media or sports news outlets, could cause traders to adjust their positions, leading to price fluctuations in this market.