TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:15 PM EST
Kalshi
This set of markets tracks the potential point differential in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a specific point margin threshold, reflecting varying levels of confidence in the outcome.
The markets resolve based on the official point differential from the Dayton vs Butler college football game scheduled for October 17, 2026. If Butler wins by exceeding the specified point margin defined in each market, that market resolves to Yes; if Dayton wins by exceeding its respective margin, the corresponding market resolves to Yes. Should the game be postponed but commence within 48 hours of the original start time, all markets remain active and resolve according to the final result. If the game fails to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific outcome.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on information available to traders. Sportsbooks set initial lines based on their own models and risk assessment, while this market allows individuals to express their own views, potentially incorporating unique insights. Discrepancies can emerge if traders believe sportsbooks have mispriced the game, or if new information surfaces that isn't yet reflected in traditional odds. It’s common to see the market adjust as game-day approaches and more data becomes available.
On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different point spreads for the Dayton vs Butler 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. As more traders participate and new information emerges, the prices dynamically adjust to reflect the collective prediction. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded, and incorrect predictions result in losses.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Dayton vs Butler game, as determined by official game 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 result of the game.
Several factors could influence the price of contracts in this market. Any news regarding injuries to key players on either the Dayton or Butler teams would likely cause significant movement. Changes in coaching strategies, weather forecasts impacting the game, or even significant shifts in public sentiment could all play a role. Unexpected news about team morale or internal conflicts could also affect trader confidence and, consequently, the market price. Monitoring these signals will be crucial for anyone looking to trade in this market before Oct 17, 2026.