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%

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BYU vs TCU: 2nd Half Winner
kalshi

What is the result of BYU vs TCU?

Volume:
$40,052

BYU

 - Kalshi

BYU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 10:15 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

BYU

View
100%
Yes 100¢No 0¢
—
N/A
$5,177
N/A
N/A
$4,518
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$24,773
N/A
N/A
$24,773
Settled
No
kalshi

TCU

0%
Yes 0¢No 100¢
—
N/A
$10,101
N/A
N/A
$9,269
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of a college football game between BYU and TCU. It highlights the importance of second-half performance, where momentum and strategy adjustments can significantly influence the outcome.

Kalshi

If TCU wins the 2nd half (including overtime) of the BYU vs TCU college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If BYU wins the 2nd half (including overtime) of the BYU vs TCU college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the BYU vs TCU college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the BYU vs TCU 2nd half market tracks the current price of contracts representing each possible outcome – which team will win the second half. You’ll also find a price history chart illustrating how the perceived probabilities have shifted over time, alongside the 24-hour trading volume, currently at $40,052. The total volume traded on this market is $40,052, providing a sense of overall interest. This data allows you to analyze market sentiment and potential trading opportunities related to this specific matchup.

Generally, prediction market odds often reflect a 'wisdom of the crowd' perspective, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant discrepancy exists between this market and sportsbook odds, it could indicate differing expert opinions or a belief among traders that the sportsbook is mispricing the probability of a particular outcome. However, it's important to remember that both represent probabilities, and neither is guaranteed to be correct.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, reflecting a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts as new information becomes available and traders update their beliefs, creating a real-time assessment of the potential second-half winner. The current price reflects the collective judgment of all participants.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the team leading at the end of the second half of the BYU vs TCU game will be declared the winner of this market. The final score, as reported by official sources, will be used to determine the winning team. No further action or input is required from traders after the game concludes; the outcome is determined by the official game results.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in coaching strategy, or even weather conditions could shift trader sentiment. Unexpected performance in the first half of the game will likely have a significant impact, as will any in-game adjustments made by either team. Public perception, as reflected in social media and sports news, can also play a role, even if it doesn’t directly correlate with objective analysis. Ultimately, any information that alters the perceived probability of either team winning the second half could move this market.