TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 1, 8:15 AM EST
Kalshi
This group covers markets on the Serie A basketball game between Napoli Basketball and Reyer Venezia, scheduled for November 1st. Markets include predicting the winner, the total points scored, and the point spread. Resolution relies on the official final score from flashscoreusa.com.
In the upcoming Serie A game, scheduled for November 1 at 6:00AM ET: If the Napoli Basketball win, the market will resolve to "Napoli Basketball". If the Reyer Venezia win, the market will resolve to "Reyer Venezia". 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.
The market resolves to Yes if either team wins the designated game as scheduled. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game is cancelled or does not start within 48 hours, all markets resolve to a fair price. Kalshi is not affiliated with the governing league, and all trademarks belong to their respective owners.
Prediction market odds, like those found on this market, often reflect a different kind of information than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by the collective beliefs of traders who have 'skin in the game'. This can lead to prediction market odds being more accurate, especially when there's significant public information available. However, sportsbooks may react more quickly to breaking news like player injuries, while this market’s price discovery may lag slightly. Both offer valuable insights, but represent distinct approaches to forecasting the outcome of the Italian basketball matchup.
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. Price discrepancies between Polymarket and Kalshi can arise due to variations in trader demographics, market-making activity, and differing fee structures. Polymarket may attract a different class of traders than Kalshi, leading to varying interpretations of the same information. Furthermore, the liquidity and volume on each platform can influence price discovery. The differing market structures and user bases contribute to the observed price differences for this Italian basketball matchup, even though both platforms are tracking the same underlying event. These differences present opportunities for arbitrage.
Several factors could significantly impact this market before resolution. Any news regarding player injuries, changes in team lineups, or coaching decisions would likely cause price movement. Unexpected performance in other games leading up to the Italian basketball matchup could also shift expectations. Major upsets in related basketball leagues or significant changes in public sentiment could also influence trading activity. Monitoring sports news, team announcements, and overall market trends will be crucial for understanding potential shifts in the price of this market.