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 10, 7:34 PM EST
Kalshi
This market tracks whether Texas will win its college football game against Oklahoma by more than 2.5 points. Currently, Kalshi gives a 74.0% probability to Texas winning by over 2.5 points. The market resolves based on the outcome of the Texas vs Oklahoma college football game originally scheduled for Oct 10, 2026, as reported by the game’s official results. Keep a close watch on the game itself on October 10, 2026, as the final score will determine whether Texas exceeds the 2.5-point margin needed for resolution.
All markets resolve based on the official final result of the Texas vs Oklahoma college football game scheduled for October 10, 2026. For markets where Texas wins by a specified point margin, if Texas’s victory exceeds that margin, the market resolves to Yes; otherwise, it resolves to No. Conversely, for markets where Oklahoma wins by a specified margin, if Oklahoma’s victory exceeds that margin, the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve based on the final result. If the game fails to start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under unforeseen circumstances.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often providing a more accurate forecast than traditional sportsbook odds, especially as the event approaches. While sportsbooks set lines based on their own models and risk management, this market allows anyone to participate and express their beliefs. It’s common to see discrepancies between the two, as sportsbooks may incorporate biases or seek to profit from perceived mispricings. However, both aim to predict the same outcome – the final point spread of this game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract fluctuates based on supply and demand, reflecting the collective prediction of the participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders believe a particular spread is likely, the price of contracts representing that spread will increase. Conversely, if traders believe a spread is unlikely, the price will decrease. This dynamic pricing mechanism aims to create a market that accurately reflects the probability of various outcomes.
Several factors could significantly impact this market. News regarding key player injuries for either Texas or Oklahoma would likely cause substantial shifts in the spread. Unexpected coaching changes or significant changes in team performance during the season could also influence trading activity. Public sentiment, as reflected in polls and expert analysis, can also play a role, though the market often diverges from initial expectations. Any major developments impacting the perceived strength of either team could lead to price movements in this market.