TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 16, 9:58 PM EST
Polymarket
This group covers markets related to the NBA game between the Milwaukee Bucks and the Indiana Pacers on October 16th. Markets include predicting the winner, who scores first, and whether the total score will be odd or even.
In the upcoming NBA game, scheduled for October 16 at 7:00PM ET: If the Bucks win, the market will resolve to "Bucks". If the Pacers win, the market will resolve to "Pacers". 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.
In the upcoming NBA game, scheduled for October 16 at 7:00PM ET: If the Bucks win, the market will resolve to "Bucks". If the Pacers win, the market will resolve to "Pacers". 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.
Prediction market odds, like those found in this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow traders to freely express their beliefs. This can lead to discrepancies, especially as new information emerges or public sentiment shifts. While sportsbooks may initially have an edge due to sophisticated modeling, prediction markets can become highly accurate as the event approaches and more traders participate, refining the probabilities.
Several signals could significantly impact this market. Any news regarding player injuries to key players on either the Bucks or the Pacers would likely cause a shift in probabilities. Changes in team performance, such as a surprising win or loss in a preceding game, could also influence trader sentiment. Major announcements about coaching strategies or changes to the game schedule might also move the market. Unexpected news regarding team morale or internal conflicts could also play a role, as traders react to any information that alters their assessment of the game’s likely outcome.