TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 9:22 AM EST
Kalshi
This prediction group concerns the outcome of a VTB United League basketball game between Lokomotiv Kuban and MBA Moscow. The markets ask forecasters to predict which team will win the game, with resolution based on the final score, including overtime. A cancellation with no makeup game results in a 50-50 split.
In the upcoming VTB United League game, scheduled for October 3 at 7:00AM ET: If the Lokomotiv Kuban win, the market will resolve to "Lokomotiv Kuban". If the MBA Moscow win, the market will resolve to "MBA Moscow". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
If BC Lokomotiv Kuban wins the MBA Moscow vs BC Lokomotiv Kuban men's professional Russia VTB United basketball game originally scheduled for Oct 3, 2026 at 7:00 AM EDT, then the market resolves to Yes. If MBA Moscow wins the MBA Moscow vs BC Lokomotiv Kuban men's professional Russia VTB United basketball game originally scheduled for Oct 3, 2026 at 7:00 AM EDT, then the market resolves to Yes.
Prediction market odds, such as those displayed for this market, often differ from traditional sportsbook odds due to the differing incentives of participants. Sportsbooks aim to set lines that balance action on both sides and ensure a profit margin, while prediction market participants are incentivized to accurately forecast the outcome. This can lead to prediction markets reflecting a 'wisdom of the crowd' effect, potentially offering more accurate probabilities, especially as more information becomes available. However, sportsbooks may offer different types of wagers not available in prediction markets, and liquidity can vary significantly between the two.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi may diverge due to several factors. These platforms have different user bases, trading mechanisms, and fee structures, all of which can influence price discovery. Furthermore, the volume traded on each platform can vary significantly, impacting price volatility and responsiveness to new information. Currently, Polymarket currently favors Lokomotiv Kuban, while Kalshi leans toward MBA Moscow, reflecting differing opinions among traders on each venue. These discrepancies present opportunities for arbitrage, where traders attempt to profit from price differences across markets.