TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 10:56 PM EST
Kalshi
This market focuses on determining which team will score more points in the final quarter of a college football game between TCU and Baylor. It provides a way to speculate on the momentum and performance of each team specifically in the last quarter of play, excluding any overtime periods. The outcome depends solely on the points scored during that designated timeframe.
If Baylor wins the 4th quarter (excluding overtime) of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If TCU wins the 4th quarter (excluding overtime) of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance betting action and incorporate a profit margin, while this market allows traders to directly express their beliefs about the probability of each outcome. If a significant number of traders believe a sportsbook has mispriced an outcome, the price on Kalshi will move accordingly, potentially offering value compared to the sportsbook’s offering. It’s common to see discrepancies, especially as new information emerges closer to the event.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – TCU winning the 4th quarter, Baylor winning the 4th quarter, or a tie. The price of each contract reflects the market’s implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time assessment of expectations for the game’s final quarter. The goal is to converge on a price that accurately reflects the true probability of each outcome.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the 4th quarter of the TCU vs Baylor game, or if the 4th quarter ended in a tie, will determine the settlement of this market. The platform will use official game statistics to verify the winner, ensuring a transparent and accurate resolution process. Traders holding contracts for the winning outcome will receive a payout, while those holding contracts for losing outcomes will not.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the TCU or Baylor teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team’s playing style, could also shift expectations. In-game performance during the first three quarters – such as a dominant offensive showing or a series of turnovers – will undoubtedly affect trading activity. Public sentiment and expert analysis, as reflected in sports news and commentary, can also contribute to price fluctuations in this market.