TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 7:22 PM EST
Kalshi
This set of markets focuses on predicting the outcome of a college football game between Texas A&M and Alabama, specifically analyzing how much one team might win by in the second half of play. Each market represents a different point differential threshold that could be achieved by either team during that period.
All markets resolve based solely on points scored during the second half (including overtime) of the Texas A&M vs Alabama college football game scheduled for October 24, 2026. For markets where Alabama is the favored team, resolution occurs if Alabama's second-half point differential exceeds specified thresholds ranging from 2.5 to 23.5 points. Conversely, markets favoring Texas A&M resolve if Texas A&M's second-half point differential exceeds thresholds from 2.5 to 14.5 points. If the game is postponed but commences within 48 hours of its original schedule, all open markets remain active and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets resolve at a fair price, ensuring equitable treatment for all participants regardless of game timing uncertainties.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook lines but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set initial lines based on their own analysis, while this market’s pricing is driven by individuals buying and selling contracts. If there’s a significant discrepancy, it could indicate that market participants believe the sportsbook has mispriced the game, or that new information hasn’t yet been fully incorporated into the sportsbook’s odds. It’s a fascinating comparison to observe.
On Kalshi, this market is priced through a continuous order book where buyers and sellers set the price of contracts. Each contract represents a specific point spread for the second half of the game. As more people buy contracts predicting a certain spread, the price of those contracts increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the collective beliefs of traders regarding the likely outcome of the game. The current price reflects the probability of that spread occurring, as perceived by the market.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final point spread for the second half of the Texas A&M versus Alabama game is verifiable from credible public reporting. The resolution will be based on the official result as reported by the governing sports authority. The market will determine which contracts pay out based on whether the actual point spread falls within the range specified by each contract. It’s important to note that the outcome is determined by the game’s result, not by any subjective judgment.
Several factors could influence the pricing of this market before the game concludes. Any news regarding key player injuries on either the Alabama or Texas A&M teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s playing style, could also impact the market. Additionally, any late-breaking news about coaching strategies or team morale could shift trader sentiment. Even public perception, as reflected in polls or analyst predictions, can contribute to fluctuations in the price of contracts.