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: Oct 10, 5:24 PM EST
Kalshi
This set of markets tracks the point differential outcome of a college football game between Miami (OH) and UMass. Each market corresponds to a specific margin of victory, allowing participants to speculate on how decisively either team might win.
All markets resolve based on the official final point differential of the Miami (OH) vs UMass college football game scheduled for October 10, 2026. If Miami (OH) wins by a margin exceeding the specified threshold in any 'Miami (OH) wins by over X points' market, that market resolves to Yes; otherwise, it resolves to No. Conversely, if UMass wins by a margin exceeding the threshold in any 'UMass wins by over X points' market, that market resolves to Yes; otherwise, it resolves to No. Should the game be postponed but commence within 48 hours of its original start time, all markets remain open and resolve per the actual result. If the game fails to start within this window, all markets resolve to a fair price, ensuring equitable treatment for all participants.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set their lines based on statistical models and expert analysis, while this market allows anyone to participate and express their beliefs. It's common to see initial discrepancies between the two, but as the event approaches, the prices in this market often converge with those found at sportsbooks as more information becomes available and traders refine their predictions.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the Miami vs UMass game. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to accurately predict the outcome, as profitable trades are rewarded. As more traders participate, the price dynamically adjusts to reflect the collective expectation of the final point spread, creating a real-time assessment of the game's potential result.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Miami vs UMass game, as determined by official sports statistics, will be used to determine which contracts pay out. Contracts predicting the actual spread will settle at 100, while those predicting a different spread will settle at 0. The resolution process ensures a transparent and objective determination of the market's outcome based on the real-world event.
Several factors could influence the price movement in this market. News regarding injuries to key players on either the Miami or UMass team would likely have a significant impact. Changes in weather forecasts, particularly if they are expected to affect the game's conditions, could also shift the odds. Furthermore, any significant news related to team morale, coaching changes, or unexpected developments in team dynamics could cause traders to reassess their predictions, leading to fluctuations in the price of contracts in this market.