TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 5:26 PM EST
Kalshi
These markets track how many points each team scores in the first half of an upcoming college football game. Outcomes depend on whether a team's scoring exceeds specific thresholds, offering varied levels of difficulty for prediction.
All markets resolve based on the official points scored by each team in the first half of the Texas A&M vs Alabama college football game scheduled for October 24, 2026. If the game is postponed but commences within 48 hours of the original start time, all markets remain open and resolve according to the final official score. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific scoring thresholds set for each market.
Prediction market odds often reflect a different type of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of many individual traders. As a result, you may see differences between the implied probabilities on Kalshi and those offered by traditional sportsbooks. These discrepancies can arise from differing information, biases, or simply a larger and more diverse pool of participants contributing to the prediction market price. It’s common to see prediction markets move independently of sportsbook lines, especially as new information emerges.
On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different possible outcomes for the first half team total. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set accurate prices, as they profit from correctly predicting the outcome. The market price dynamically adjusts based on supply and demand, providing a real-time assessment of expectations for the Alabama vs Texas A&M game’s first half.
This market resolves around Oct 24, 2026, with the outcome confirmed once the official first half team total for both Alabama and Texas A&M is verifiable from credible public reporting. The resolution will be based on the official game statistics as recorded by the governing body of college football. The market will determine which contracts payout based on whether the actual first half team total exceeds or falls below the contract’s specified value. Traders will be able to view the final result and any payouts on Kalshi following the game’s conclusion.
Several factors could influence trading activity in this market. Any news regarding key player injuries for either Alabama or Texas A&M would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also impact the perceived scoring potential. Furthermore, pre-game analysis from sports analysts and updated betting lines from sportsbooks can influence trader sentiment. Finally, even large-volume trades on Kalshi itself can create momentum and shift the market price, reflecting changes in collective expectations.