TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 11:29 PM EST
Kalshi
This set of markets tracks how decisively Texas Tech defeats Oregon State in an upcoming college football game. Each market corresponds to a different point margin threshold, allowing participants to speculate on the extent of Texas Tech's victory. The outcomes are determined by the final score of the game, with various thresholds defining success for each market.
All markets resolve based on the point differential of the Texas Tech vs Oregon State college football game scheduled for September 12, 2026. For each market, if Texas Tech wins by more than the specified point 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, the markets remain open and resolve according to the final result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential threshold they have bet on.
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 aggregates the views of many individual traders. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously buying and selling contracts on Kalshi and at a sportsbook. However, it’s important to remember that both represent probabilities of an outcome, and neither is guaranteed to be perfectly accurate.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the Texas Tech vs Oregon State game. The price of each contract fluctuates based on supply and demand, reflecting traders’ beliefs about the likelihood of that spread occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts predicting a particular spread, the price increases, and vice versa. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions as the game approaches.
This market resolves around Sep 13, 2026, with the outcome confirmed once the final point spread of the Texas Tech vs Oregon State game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. Contracts will pay out $100 to the winning side, minus a small fee, while losing contracts will have no value. Traders should monitor official sources for the final score to understand the market’s resolution.
Several factors could significantly impact this market. News regarding injuries to key players on either the Texas Tech or Oregon State teams would likely cause movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s style of play, could also influence trading activity. Unexpected announcements about coaching strategies or team morale might also shift the market. Finally, any significant public betting patterns observed at sportsbooks could also lead to adjustments in the price of contracts on Kalshi.