TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:37 PM EST
Polymarket
Exact margin markets for Northwestern vs. Michigan State.
Exact margin markets for Northwestern vs. Michigan State.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing different exact point differentials in the Northwestern-Michigan State game. The price of each share reflects the probability of that specific margin occurring, as determined by supply and demand. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust, providing a real-time assessment of the likely outcome. The market’s efficiency relies on informed traders identifying and exploiting mispricings, driving the odds towards a fair value.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point differential between Northwestern and Michigan State will be used to determine the winning share(s) in this market. The resolution will be based on the official game results as reported by a trusted sports data provider, ensuring an objective and verifiable outcome. Traders will then be able to claim their winnings based on the final margin and their holdings in the corresponding shares.
Several factors could influence this market leading up to the game. Any news regarding key player injuries on either team would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also move the market. Unexpected coaching decisions or strategic adjustments announced before the game could also influence trader sentiment. Finally, any major shifts in public perception or expert analysis regarding the teams’ relative strengths could contribute to price fluctuations in this market.