TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 5:03 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 from various thresholds to speculate on whether one team will dominate the other by a specific margin before halftime.
All markets resolve based solely on points scored during the first half of the designated college football game. If the contest is delayed but commences within 48 hours of its original schedule, markets remain active and resolve according to the actual halftime score. Should the game fail to start within this window, all markets settle at a fair price. Each individual market specifies a different point-spread threshold, with resolution occurring if the winning team exceeds that margin by the end of the first half. The markets cover a range of outcomes, from narrow victories to substantial blowouts, allowing participants to assess varying levels of competitive imbalance.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set lines based on their own models and risk management, while this market allows anyone to trade on their beliefs about the outcome. If there’s a significant difference, it could indicate that the market believes a sportsbook has mispriced the event, or that new information hasn’t yet been fully incorporated into sportsbook lines. It's common to see the market and sportsbook odds converge as the event approaches.
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. The price of each contract reflects the market’s collective assessment of the probability of that spread occurring. 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 they profit if their beliefs align with the eventual outcome. The more a particular spread is traded, the more liquid it becomes, and the tighter the bid-ask spread tends to be. This dynamic pricing mechanism ensures that the market reflects the most up-to-date information available.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread for the first half of the Oklahoma vs Mississippi State football game will be used to determine which contracts pay out. The official result will be sourced from established sports data providers and will be used to settle all outstanding contracts on Kalshi. Traders holding contracts on the correct spread will receive a payout of 100 cents per contract.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the Oklahoma or Mississippi State teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the market. Additionally, any late-breaking news about team strategies or coaching decisions could influence traders’ perceptions of the likely outcome. Public sentiment, as reflected in polls or expert analyses, can also play a role, though the market often incorporates information before it becomes widely publicized.