TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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BYU vs Utah: Overtime
kalshi

What is the result of BYU vs Utah?

Oct 31, 2026, 1:30 PM EST - Nov 7, 2026, 3:00 PM EST
Total volume:
$37
Volume 24h:
$33N/A
Liquidity:
N/AN/A
Open interest:
$37
984%

Game goes to overtime

 - Kalshi

Game goes to overtime - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 04d:23h:38m

Game goes to overtime

10%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 8¢ buys you 1,250 shares | Odds: 10% Total Payout: $1,250 | Net Profit: $1,150 Multiplier: 12.50x | ROI: 1,150% APY not meaningful 4 days to resolution
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Game goes to overtime

Trade
10%
Yes 8¢No 93¢
1¢
N/A
$37
984%
N/A
$37
4d 23h 38m
Active
Total markets: 1

Description

The event centers around a college football game between two rival teams scheduled for a specific date. The outcome of interest depends on whether the game extends beyond regulation time. This occurs when the competing teams continue playing additional periods to determine a final result.

Kalshi

If at least 1 overtime period is played in the BYU vs Utah college football game originally scheduled for Nov 7, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the BYU-Utah rivalry market tracks the current odds of the game going to overtime, the price history of contracts representing each outcome, and the 24-hour trading volume. Currently, the volume is $33 and the total volume for this market is $37. You can also see the percentage chance implied by the current price, which is 10.0% for the game going to overtime. This provides a real-time view of how PredictionHero users are forecasting the likelihood of an overtime period in this highly anticipated matchup.

Often, prediction market odds reflect a different perspective than those found at sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring a profit margin, while this market represents the collective wisdom of traders. If a significant discrepancy exists between the implied probability on Kalshi and sportsbook odds, it could indicate that market participants believe the sportsbook is mispricing the event. However, it’s important to note that sportsbooks have access to different information, such as injury reports and team news, which can influence their pricing.

On Kalshi, this market is priced through a continuous auction where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. As more traders participate, the price adjusts to reflect the collective intelligence of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe the game will go to overtime, the higher the price of those contracts will climb, and vice versa. This dynamic pricing mechanism allows for a constantly updated forecast of the game's potential outcome.

This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the BYU-Utah football game goes into overtime, as determined by the official game results. The final score and official game statistics will serve as the basis for determining whether the market resolves in favor of overtime occurring or not. Traders will be able to see the resolution details on Kalshi once the official results are available.

Several factors could significantly impact this market. Major player injuries on either BYU or Utah would likely cause shifts in the odds, as would any significant changes in team performance or coaching strategies. Unexpected weather conditions on game day could also play a role, potentially favoring a more conservative, run-focused game plan that increases the likelihood of a close contest and overtime. Any news regarding potential rule changes or officiating assignments could also influence trading activity in this market.