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406,065

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2,692

PLATFORM COVERAGE:

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Illinois vs Ohio St.: 1st Quarter Winner
kalshi

What is the result of Illinois vs Ohio St.?

Volume:
$12,307

Ohio St. wins 1st Quarter

 - Kalshi

Ohio St. wins 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 12:54 PM EST

kalshi

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

Ohio St. wins 1st Quarter

View
100%
20%
Yes 100¢No 0¢
100¢
N/A
$9,039
N/A
N/A
$8,648
Settled
Yes
kalshi

Illinois wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$2,463
N/A
N/A
$2,400
Settled
No
kalshi

Tie 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$804
N/A
N/A
$790
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of an upcoming college football game between Illinois and Ohio State. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game's outcome. The resolution depends on which team has the higher score at the end of the first 15 minutes of play.

Kalshi

If Ohio St. wins the 1st quarter of the Illinois vs Ohio St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If Illinois wins the 1st quarter of the Illinois vs Ohio St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Illinois vs Ohio St. college football game originally scheduled for Sep 26, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Illinois vs Ohio State football game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each team winning the first quarter fluctuates in real-time as traders buy and sell contracts. Currently, the total volume for this market is $12,307, with $12,305 traded in the last 24 hours. This provides a clear picture of market sentiment and how it's changing leading up to the game. The dashboard is your central hub for monitoring activity and potential shifts in expectations.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs. If a significant number of people believe one team is more likely to win, the price will move accordingly, potentially diverging from sportsbook lines. It’s common to see prediction markets offer more accurate probabilities, especially as the event approaches and more information becomes available.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s collective belief about the likelihood of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to find an equilibrium point where buyers and sellers agree on value. The closer we get to the game, the more liquidity we generally see, leading to tighter spreads and more efficient price discovery. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations.

This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first quarter of the Illinois vs Ohio State football game will determine the winning contract. The resolution will be based on the official result as reported by a trusted sports news source. Traders will be able to claim their winnings once the result is officially confirmed and reflected in the market’s settlement process. Keep an eye on the platform for updates as the game progresses and the resolution approaches.

Several signals could significantly move this market before the game concludes. Any news regarding key player injuries or changes to the starting lineup for either Illinois or Ohio State would likely impact the odds. Unexpected weather conditions, such as heavy rain or strong winds, could also shift expectations. Furthermore, significant betting activity or large volume trades on Kalshi could indicate a change in market sentiment. Finally, any pre-game analysis or expert opinions that strongly favor one team over the other could influence trader behavior and cause the market to react.