TOTAL VOLUME:

$154.1b

24H VOL:

$185,665,189

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,833,875,329

407,365

Markets across

40,470

events

MATCHED EVENTS:

4,365

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Washington St. vs Oregon St.: 1st Quarter Spread
kalshi

What is the result of Washington St. vs Oregon St.?

Volume:
$37,474

Oregon St. wins by over 6.5 points

 - Kalshi

Oregon St. wins by over 6.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 6:57 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

Oregon St. wins by over 6.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$15,072
N/A
N/A
$11,347
Settled
Yes
kalshi

Oregon St. wins by over 16.5 points

100%
Yes 100¢No 0¢
—
N/A
$4,904
N/A
N/A
$3,955
Settled
Yes
kalshi

Oregon St. wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$3,490
N/A
N/A
$3,132
Settled
Yes
kalshi

Oregon St. wins by over 13.5 points

100%
78%
Yes 100¢No 0¢
—
N/A
$3,250
N/A
N/A
$2,873
Settled
Yes
kalshi

Oregon St. wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,744
N/A
N/A
$2,741
Settled
Yes
kalshi

Oregon St. wins by over 7.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,461
N/A
N/A
$1,651
Settled
Yes
kalshi

Oregon St. wins by over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,926
N/A
N/A
$1,409
Settled
Yes
kalshi

Oregon St. wins by over 19.5 points

0%
Yes 0¢No 100¢
—
N/A
$878
N/A
N/A
$774
Settled
No
kalshi

Oregon St. wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$601
N/A
N/A
$601
Settled
No
kalshi

Washington St. wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$511
N/A
N/A
$508
Settled
No
kalshi

Washington St. wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$479
N/A
N/A
$479
Settled
No
kalshi

Washington St. wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$456
N/A
N/A
$456
Settled
No
kalshi

Washington St. wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$352
N/A
N/A
$352
Settled
No
kalshi

Washington St. wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$350
N/A
N/A
$350
Settled
No
Total markets: 14

Description

This set of markets focuses on predicting the point differential in the first quarter of a college football game between Washington State and Oregon State. Each market corresponds to a specific threshold of points by which either team must win in that quarter to resolve as 'Yes'.

Kalshi

All markets resolve based solely on points scored during the first quarter of play in the Washington St. vs Oregon St. college football game scheduled for Oct 17, 2026. If Oregon St. wins the first quarter by more than the specified point margin listed in any market, that market resolves to 'Yes'; if Washington St. wins by more than the specified margin, the corresponding market resolves to 'Yes'. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve based on the official first-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds.

Frequently asked questions

On Kalshi, the dashboard for the Washington State vs Oregon State spread tracks the current price of contracts representing different point spreads for the first quarter of the game. You'll find a price history chart showing how the market has moved over time, as well as the 24-hour trading volume, currently at $36,539. The total volume traded on this market is $37,303. This allows traders to see how much activity there is and understand market sentiment regarding the likely outcome of the first quarter spread.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on information not yet fully incorporated by sportsbooks. It's common to see this market and sportsbook lines move in tandem as new information becomes available, such as injury reports or weather forecasts. However, prediction markets can sometimes offer different perspectives, particularly when there's strong disagreement among traders about the potential outcome. Keep in mind that sportsbooks also have a built-in 'vig,' while this market allows for more direct probability assessment.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the market's assessment of the probability of that spread occurring in the first quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. As more traders participate and new information emerges, the price will fluctuate, providing a real-time indication of the expected spread. The current price indicates what traders believe is the most likely outcome.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread in the first quarter of the Washington State versus Oregon State football game will be used to determine which contracts pay out. The resolution will be based on the official game statistics as reported by a trusted sports data provider. Traders will then receive payouts based on whether their purchased contracts align with the actual first quarter spread.

Several factors could significantly influence this market before the game concludes. Any news regarding key player injuries for either Washington State or Oregon State would likely cause price movement. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also impact the spread. Unexpected news related to team coaching strategies or internal team dynamics could also shift trader sentiment. Finally, large volume trades on Kalshi itself can create short-term price fluctuations as traders react to new information or attempt to capitalize on perceived mispricings.