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 24, 3:10 PM EST
Kalshi
This set of markets tracks various point-spread outcomes for an upcoming college football game, allowing participants to speculate on the margin of victory for either team. Each market corresponds to a different threshold of points by which either San Diego or Dayton might win, reflecting diverse betting perspectives on the game's potential score differential.
All markets resolve based on the official final result of the San Diego vs Dayton college football game scheduled for October 24, 2026. If Dayton wins by exceeding the specified point margin defined in each market (ranging from 1.5 to 28.5 points), that market resolves to Yes; otherwise, it resolves to No. Conversely, if San Diego wins by more than the designated margin (ranging from 3.5 to 19.5 points), the corresponding market resolves to Yes. Postponements are handled such that if the game commences within 48 hours of its original scheduled start time, all markets remain active and resolve according to the final result. If the game does not start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants under unforeseen circumstances.
Typically, prediction market odds offer a distinct perspective compared to traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, aiming to profit regardless of the outcome. This market, driven by the collective wisdom of traders, tends to reflect probabilities more closely aligned with true expected outcomes, though discrepancies can and do occur. It's common to see prediction markets move faster than sportsbooks to incorporate new information, as traders react quickly to news and analysis surrounding the San Diego vs Dayton game. Examining both can provide a more comprehensive view.
On Kalshi, this market is priced using a continuous double auction. Traders submit buy and sell orders for contracts representing the outcome of the San Diego vs Dayton spread. The current price represents the probability of the 'yes' side winning—that is, San Diego covering the spread. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price fluctuates based on supply and demand; more buy orders drive the price up, indicating increasing confidence in San Diego, while more sell orders push it down. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the collective judgment of all participants.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final score of the San Diego vs Dayton game is verifiable from credible public reporting. The resolution will be based on whether San Diego covers the spread as defined by the market conditions at the time of trading. The final result will be determined by the official game statistics and verified against established sports data sources. The platform will then automatically settle all outstanding contracts based on the confirmed outcome of the event.
Several factors could influence the price of this market leading up to Oct 24, 2026. Any news regarding injuries to key players on either the San Diego or Dayton teams would likely cause significant movement. Changes in coaching strategies, weather forecasts impacting the game, or even significant shifts in public perception based on expert analysis could all play a role. Unexpected news about team morale or internal conflicts could also affect trader sentiment and, consequently, the market price. Monitoring these signals will be crucial for anyone looking to trade in this market.