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Boise St. vs Oregon: Highest Scoring Quarter
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What quarter will have the highest score?

Volume:
$708

2nd Quarter

 - Kalshi

2nd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 5, 2026

Closed: Sep 5, 7:10 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

2nd Quarter

View
100%
55%
Yes 100¢No 0¢
100¢
N/A
$436
N/A
N/A
$436
Settled
Yes
kalshi

1st Quarter

0%
19%
Yes 0¢No 100¢
100¢
N/A
$143
N/A
N/A
$136
Settled
No
kalshi

3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$125
N/A
N/A
$122
Settled
No
kalshi

4th Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$4
N/A
N/A
$4
Settled
No
Total markets: 4

Description

This event determines which quarter of the Boise State versus Oregon college football game will feature the highest combined score from both teams. Each quarter is evaluated separately to identify if it holds the highest point total among all quarters, excluding overtime points from the fourth quarter calculation.

Kalshi

If the 1st quarter is the highest scoring quarter in the Boise St. vs Oregon college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If the 2nd quarter is the highest scoring quarter in the Boise St. vs Oregon college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If the 3rd quarter is the highest scoring quarter in the Boise St. vs Oregon college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If the 4th quarter (not including overtime) is the highest scoring quarter in 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 for which quarter will have the highest score. You can view the price history of each quarter, along with the 24-hour trading volume, which is currently $468. The total volume traded on this market is $708. This allows participants to see how the market is valuing each possible outcome and gauge the level of interest in each quarter scoring the most points.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from sportsbook odds which are set by professional oddsmakers. Sportsbooks may initially focus on traditional statistics and expert analysis, while this market can incorporate a wider range of information and react quickly to news or changing sentiment. It’s common to see discrepancies, especially as new information becomes available closer to the event. Examining both can provide a more comprehensive view of the likely outcome.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each quarter being the highest scoring, and the price of each contract reflects the probability of that outcome. As more people buy a contract, its price increases, indicating a higher perceived chance of that quarter having the highest score. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand, allowing the market to dynamically adjust its predictions based on available information and participant beliefs.

This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The quarter with the highest combined score between both teams will be identified as the winning outcome. Official game statistics will be used to determine the highest-scoring quarter, ensuring a transparent and verifiable resolution. Traders will then be able to claim their winnings based on the final result.

Several factors could influence this market before the game concludes. Any news regarding key player injuries for either Boise State or Oregon would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they suggest a high-scoring or low-scoring game, could also impact trading activity. Additionally, any pre-game analysis highlighting a specific team’s offensive or defensive strengths could sway traders’ opinions and move the market prices.