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$154.4b

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2,984,028,936

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$1,885,293,300

410,482

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4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

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Libertas Livorno vs Pallacanestro 2.015 Forli
kalshi

What is the result of Libertas Livorno vs Pallacanestro 2.015 Forli?

Volume:
$3,128

Libertas Livorno

 - Kalshi

Libertas Livorno - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 25, 2026

Closed: Oct 25, 5:05 PM EST

kalshi

Kalshi

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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¢
—
N/A
$2,093
N/A
N/A
$1,342
Settled
Yes
kalshi

Pallacanestro 2.015 Forli

View
0%
Yes 0¢No 100¢
—
N/A
$1,035
N/A
N/A
$1,017
Settled
No
Total markets: 2

Description

This market centers on the outcome of a professional basketball game between Libertas Livorno and Pallacanestro 2.015 Forli in Italy's Serie A2 league. The result depends solely on which team secures a victory in the match scheduled for October 25, 2026. Any changes to the game's timing or cancellation will follow specific resolution guidelines.

Kalshi

The event resolves based on the winner of the Libertas Livorno vs Pallacanestro 2.015 Forli men’s professional Italy Serie A2 basketball game scheduled for October 25, 2026, at 3:00 PM EDT. If Pallacanestro 2.015 Forli wins, its market resolves to Yes; if Libertas Livorno wins, its market resolves to Yes. Should the game be postponed but commence within 48 hours of the original start time, both markets remain open and resolve according to 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. Kalshi explicitly disclaims any 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 game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, and monitor the total volume traded in this market, currently at $3,128. The 24-hour volume is $2,732, indicating recent trading activity. This provides a real-time view of how PredictionHero users are assessing the likely result of the Libertas Livorno versus Pallacanestro 2.015 Forli game.

Prediction market odds often reflect a different type of information than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of many individual traders. If a significant number of people believe a particular outcome is more likely than sportsbooks suggest, the odds on Kalshi will move accordingly. Discrepancies can arise due to differing levels of expertise, access to information, or simply varying opinions about the teams involved in the Italian basketball game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's collective assessment of its probability. As more traders participate, the prices adjust to reflect new information and changing beliefs. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates the cost to take a position on a particular result, and the difference between the buy and sell prices represents the spread.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Italian basketball game will be used to determine which contracts pay out. The winning team, as officially reported by sports authorities, will be the basis for settlement. Traders holding contracts corresponding to the winning team will receive a payout, while those holding contracts for the losing team will not.

Several factors could influence trading activity in this market leading up to Oct 25, 2026. Any news regarding player injuries, changes in team lineups, or coaching decisions could shift expectations and move the odds. Unexpected performance in other games leading up to the event, or even weather conditions affecting travel, could also play a role. Public sentiment and analysis from sports commentators might also impact trading behavior, as users react to new information and adjust their predictions for the Italian basketball game.