TOTAL VOLUME:
$134b
24H VOL:
$87,176,691
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,391,958,194
394,660
Markets across
30,119
events
MATCHED EVENTS:
2,626
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 9:21 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Bettors can choose specific point margins to wager on, either favoring one team to win by a certain margin or the other team to achieve a similar margin.
All markets resolve based solely on points scored during the first half of the Ohio State versus Texas college football game scheduled for September 12, 2026. Each market corresponds to a specific point differential threshold, with outcomes resolving to 'Yes' if the winning team exceeds that margin in the first half. 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 result. Should the game fail to start within this 48-hour window, all markets settle at a fair price, reflecting the uncertainty and preventing unresolved bets. These rules ensure clarity and fairness by focusing exclusively on first-half performance and accounting for potential scheduling disruptions.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. If a significant discrepancy exists between the two, opportunities for arbitrage may arise, where traders can profit by simultaneously taking opposing positions in both markets. However, it's important to remember that both represent probabilities, 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. The price of each contract reflects the probability that the actual first-half spread will fall on that side of the line. As more traders buy contracts for a particular spread, the price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity influence the price, creating a dynamic and real-time assessment of the likely outcome.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final first-half spread of the Ohio State vs. Texas game will be used to determine which contracts pay out. Contracts predicting the correct side of the spread will settle at 100, while those predicting the incorrect side will settle at 0. The resolution will be based on the official game statistics as reported by a trusted source.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Ohio State or Texas teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also shift the market. Furthermore, any late-breaking information about team strategies or coaching decisions could affect traders' perceptions and lead to price fluctuations in this market.