TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Boise St. vs Oregon: 1st Quarter Winner
kalshi

What is the result of Boise St. vs Oregon?

Volume:
$3,864

Boise St. wins 1st Quarter

 - Kalshi

Boise St. wins 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 5, 2026

Closed: Sep 5, 4:16 PM EST

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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

Boise St. wins 1st Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,257
N/A
N/A
$1,221
Settled
Yes
kalshi

Tie 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,379
N/A
N/A
$1,208
Settled
No
kalshi

Oregon wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,227
N/A
N/A
$1,092
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Boise State and Oregon. It reflects the competitive momentum and scoring efficiency of each team in the early stages of the match.

Kalshi

If Oregon wins the 1st quarter of the Boise St. vs Oregon college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If Boise St. wins the 1st quarter of the Boise St. vs Oregon college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Boise St. vs Oregon college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Boise State vs Oregon game tracks the current odds of each team winning the first quarter, along with a price history showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $2,574, and the total volume traded to date, which is $3,864. This allows you to see how much activity there is in this market and how traders are positioning themselves ahead of the game. The dashboard provides a real-time view of market sentiment regarding the first quarter winner.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and to balance action, while this market allows anyone to trade based on their own insights. If a significant number of traders believe a sportsbook is mispricing a team's chances, the odds here will adjust accordingly. It’s common to see discrepancies, especially as new information emerges or public opinion shifts, making this a potentially valuable comparison point for informed bettors.

On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing each possible outcome – in this case, Boise State winning the first quarter or Oregon winning the first quarter. The price of each contract reflects the probability of that outcome as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices converge to reflect a collective assessment of the likelihood of each team winning. The higher the price, the greater the implied probability of that outcome.

This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The first quarter winner of the Boise State vs Oregon game will be determined based on the official game results. The platform will utilize publicly available data to verify the winning team, ensuring a transparent and accurate resolution process. Traders will then be able to claim their winnings or adjust their positions based on the final result.

Several factors could influence the odds in this market. Any news regarding key player injuries for either Boise State or Oregon would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team’s playing style, could also shift the probabilities. Unexpected announcements about coaching strategies or team morale could also impact trader sentiment. Finally, as the game approaches, any public statements from analysts or prominent sports figures could influence the market’s direction.