TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 8:10 PM EST
Kalshi
This market tracks the outcome of the college basketball game between the Oakland Golden Grizzlies and the Michigan Wolverines. Currently, the consensus probability of Oakland Golden Grizzlies vs. Michigan Wolverines winning is 10.0%. This aggregate reflects trading volume from Polymarket, Predict, and Kalshi, and will resolve based on the result reported by https://www.ncaa.com/. The markets aim to determine which team wins the game, with provisions for postponed or canceled games. Keep an eye on November 2nd, 2026, as this is the scheduled date for the game and the end of the betting period.
This event is for the CBB game between Oakland Golden Grizzlies and Michigan Wolverines on November 2 at 6:00PM ET. 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 market resolves based on the official result of the Oakland vs Michigan men’s college basketball game scheduled for November 2, 2026. If Michigan wins, the Michigan market resolves to Yes; if Oakland wins, the Oakland market resolves to Yes. If the game is postponed but begins within 48 hours of the original start time, the market remains open and resolves based on the official final result. If the game is cancelled or not started within 48 hours, both markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.
This event is for the CBB game between Oakland Golden Grizzlies and Michigan Wolverines on November 2 at 6:00PM ET. 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.
Prediction market odds often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set lines based on statistical models and expert analysis, while this market relies on the collective predictions of a diverse group of traders. This can lead to discrepancies, especially when public sentiment strongly deviates from the sportsbook's initial assessment. Prediction markets also benefit from continuous price discovery as new information emerges, potentially offering more accurate probabilities closer to the event. The difference can be particularly noticeable in events with high public interest and readily available information.
Several factors could influence the price of this market before resolution. Any significant news regarding player injuries, coaching changes, or team performance could shift trader sentiment. Unexpected upsets in other games involving these teams could also impact predictions. Public statements from key players or analysts, as well as changes in betting patterns on traditional sportsbooks, might also contribute to market movement. A surge in volume on either Polymarket or Kalshi could indicate a strong shift in expectations, potentially leading to price adjustments.