TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Iowa vs Washington: 1st Quarter Winner
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What is the result of Iowa vs Washington?

Volume:
$59,063

Iowa

 - Kalshi

Iowa - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 9, 2026

Closed: Oct 9, 9:46 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

Iowa

View
100%
67%
Yes 100¢No 0¢
—
N/A
$24,148
N/A
N/A
$19,019
Settled
Yes
kalshi

Washington

0%
Yes 0¢No 100¢
—
N/A
$21,898
N/A
N/A
$15,580
Settled
No
kalshi

Tie

0%
22%
Yes 0¢No 100¢
—
N/A
$13,017
N/A
N/A
$12,533
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of a college football game between Iowa and Washington. It reflects the competitive dynamics of the early game stages, where momentum can shift rapidly. The outcome depends solely on the scoring during the initial 15 minutes of play.

Kalshi

If Washington wins the 1st quarter of the Iowa vs Washington college football game originally scheduled for Oct 9, 2026, then the market resolves to Yes. If Iowa wins the 1st quarter of the Iowa vs Washington college football game originally scheduled for Oct 9, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Iowa vs Washington college football game originally scheduled for Oct 9, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Iowa vs Washington 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 $56,786, and the total volume traded to date, which is $59,063. This allows users to gauge market sentiment and see how much activity is occurring around this particular contest. The dashboard provides a real-time view of where traders are placing their bets on who will take an early lead.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market is driven purely by individuals willing to put their capital behind their beliefs. If a significant number of traders believe a team is undervalued by sportsbooks, the odds on Kalshi will shift accordingly. It’s common to see discrepancies, particularly before a lot of money has been wagered, as prediction markets tend to become more accurate as more information and trading activity accumulate.

On Kalshi, this market is priced through a continuous auction, meaning traders buy and sell contracts representing the probability of each outcome. The price of a contract directly reflects the market’s implied probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective assessment of the first quarter winner. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more a particular outcome is believed to be likely, the higher the price of its corresponding contract will climb, and vice versa. This dynamic pricing mechanism ensures the market continuously reflects current expectations.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team is leading after the first quarter of the Iowa vs Washington game. The official result, as reported by official game sources, will be used to determine the winning outcome. Traders will be able to see the resolution reflected in their account balances shortly after the official result is available, and payouts will be processed accordingly.

Several signals could significantly impact this market. Any news regarding key player injuries or changes to the starting lineups for either Iowa or Washington would likely cause shifts in the odds. Unexpected weather conditions at the game location could also play a role, potentially favoring one team’s style of play over the other. Furthermore, any late-breaking analysis from sports commentators or analysts predicting a specific first-quarter strategy could influence trader behavior and move the market. Public sentiment and betting trends in traditional sportsbooks could also create movement.