TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 11d:19h:20m
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This group covers various markets related to the Baylor vs. BYU college football game originally scheduled for November 14, 2026. Markets include the winner of the game, point spreads, and over/under totals for the game as a whole and for specific quarters, as well as team totals.
In the upcoming college football game between Baylor and BYU, originally scheduled for Saturday, November 14, 2026 at 1:00 PM ET (as of creation of the first market related to the event): This market will resolve to "Baylor" if Baylor win the game. This market will resolve to "BYU" if BYU win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
The market resolves based on the result of the Baylor vs BYU college football game originally scheduled for November 14, 2026. If BYU wins, the BYU market resolves to Yes, and the Baylor market resolves to No. Conversely, if Baylor wins, the Baylor market resolves to Yes, and the BYU market resolves to No. If the game is postponed but starts within 48 hours of the original time, both markets remain open and resolve according to the final official result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price. The markets are independent of any official NCAA affiliation, and all trademarks remain property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. This can lead to discrepancies, especially when public opinion diverges from expert analysis. Often, prediction markets are more accurate than traditional forecasts, as they incentivize truthful predictions and aggregate diverse information. However, sportsbooks typically offer more market variety, with a wider range of bets available.
Prices on Polymarket and Kalshi can differ due to several factors. Each platform has its own user base, trading incentives, and liquidity. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Furthermore, the specific markets offered on each platform may not be identical, impacting price discovery. For example, Polymarket currently favors Spread: Baylor (-20.5) at 100.0%, while Kalshi leans toward BYU wins at 76.0%. These differences can also arise from varying risk appetites and interpretations of available information among traders on each platform.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Baylor vs. BYU game, as reported by a recognized sports data provider. The specific details of the game's final score will be used to determine the winning outcome. Traders should monitor official sources for updates as the resolution date approaches, ensuring they are aware of the final, verified result.
Several factors could influence the probabilities in this market. Any news regarding key player injuries, changes in coaching strategies, or unexpected weather conditions could significantly shift expectations. Public sentiment, as reflected in social media and sports news, can also play a role. Major upsets in other games involving these teams, or significant changes in betting lines at traditional sportsbooks, might also cause traders to reassess their positions and adjust their predictions. Keep an eye on these signals as the game approaches.