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 10, 9:24 PM EST
Kalshi
This set of markets tracks the point differential in a college football game between San Diego State and Oregon State. Each market corresponds to a specific margin of victory, allowing participants to speculate on how decisively one team might win.
All markets resolve based on the official final point differential of the San Diego State vs Oregon State college football game scheduled for October 10, 2026. If Oregon State wins by a margin exceeding the specified threshold in any 'Oregon St. wins by over X points' market, that market resolves to Yes; otherwise, it resolves to No. Conversely, if San Diego State wins by a margin exceeding the threshold in any 'San Diego St. wins by over X points' market, that market resolves to Yes; otherwise, it resolves to No. For games postponed but starting within 48 hours of the original time, markets remain open and resolve per the actual result. If the game does not start within 48 hours, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market relies on traders expressing their beliefs about the outcome. Often, prediction markets are considered more accurate than traditional forecasts, especially when a significant amount of volume is traded. However, sportsbook odds can be useful for comparison, and discrepancies may present opportunities for arbitrage or informed trading.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes of the San Diego State vs Oregon State spread. The price of each contract reflects the probability of that outcome, 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 adjust their bids and asks based on new information, their own analysis, and their expectations of how others will react, creating a dynamic pricing mechanism. The more a particular outcome is bought, the higher its price becomes, indicating a greater perceived likelihood.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the final, official point spread of the San Diego State vs Oregon State game as reported by a major sports data provider. The market will determine which side of the spread, if any, was covered by the final score. It’s important to note that the official result is what dictates the outcome of this market, not pre-game expectations or analyses.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the San Diego State or Oregon State teams would likely have a significant impact. Changes in weather forecasts, particularly if they are expected to affect the game’s conditions, could also move the market. Furthermore, late-breaking news about team strategy, coaching decisions, or even public sentiment could all contribute to shifts in the odds. Unexpected line movements in traditional sportsbooks could also prompt traders to reassess their positions.