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 31, 5:20 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Kansas or TCU during the first half of their college football game. Each market corresponds to a specific point differential threshold that must be exceeded for the outcome to be considered a success.
All markets resolve based solely on points scored during the first half of the Kansas vs TCU college football game scheduled for October 31, 2026. For markets where TCU must win by a specified margin, resolution occurs if TCU's first-half point differential exceeds the stated threshold. Conversely, markets requiring Kansas to win by a certain margin resolve if Kansas achieves that differential. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the official first-half result. Should the game fail to start within this 48-hour window, all markets resolve at a fair price, reflecting the uncertainty introduced by the delay. The markets are independent, each evaluating a distinct point-spread threshold for either team.
Typically, prediction market odds reflect the wisdom of the crowd, often converging with—but sometimes diverging from—traditional sportsbook odds. Sportsbooks set initial lines based on statistical models and expert analysis, while this market allows individuals to trade on their own predictions. If a significant number of traders believe a sportsbook line is inaccurate, they can buy or sell contracts, driving the price towards their collective assessment. This dynamic can lead to prediction market odds offering a potentially more accurate forecast, though sportsbook odds remain a valuable point of comparison.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half of the Kansas vs TCU game. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded and those with inaccurate views may incur losses. This creates a dynamic pricing mechanism that aims to reflect the collective intelligence of the market participants.
This market resolves around Oct 31, 2026, with the outcome confirmed once the official first-half spread of the Kansas vs TCU game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football, ensuring a transparent and verifiable outcome. Traders holding contracts on the winning spread will receive a payout, while those holding contracts on losing spreads will forfeit their investment. The final spread will be the determining factor for payout.
Several signals could significantly move this market before Oct 31, 2026. News regarding injuries to key players on either the Kansas or TCU teams would likely cause shifts in the spread. Unexpected changes in weather conditions, particularly if they favor one team's playing style, could also impact trading activity. Furthermore, any significant news related to team morale, coaching decisions, or even public sentiment could influence how traders assess the probability of different outcomes in this market. Game-day developments, like early scoring drives, will also have a substantial effect.