TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Oregon vs Illinois: 3rd Quarter Winner
kalshi

What is the result of Oregon vs Illinois?

Volume:
$1,770

Illinois

 - Kalshi

Illinois - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 5:21 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Illinois

View
100%
Yes 100¢No 0¢
—
N/A
$571
N/A
N/A
$570
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$771
N/A
N/A
$708
Settled
No
kalshi

Oregon

0%
Yes 0¢No 100¢
—
N/A
$428
N/A
N/A
$426
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between Oregon and Illinois. The outcome depends solely on the performance during the third quarter, regardless of the overall game result.

Kalshi

If Illinois wins the 3rd quarter of the Oregon vs Illinois college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Oregon wins the 3rd quarter of the Oregon vs Illinois college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Oregon vs Illinois college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Oregon vs Illinois 3rd quarter market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities for each team winning the third quarter have shifted over time, and observe the total volume traded in this market, which is currently $292. The dashboard provides a real-time view of trader sentiment and activity surrounding this specific matchup. It’s a key resource for anyone looking to understand how the crowd is predicting the outcome of the third quarter.

Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective forecast of informed traders. It’s common to see discrepancies, especially before significant events or breaking news. Generally, prediction markets tend to be more accurate than traditional point spreads or over/unders, but it's not a guarantee. Comparing the two can offer valuable insights into where public perception and expert analysis diverge for the Oregon vs Illinois game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team winning the third quarter. The price of a contract directly corresponds to the implied probability of that outcome. As more people buy contracts for a particular team, the price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the game approaches. The current volume traded is $1,770, indicating the level of interest in this matchup.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the third quarter of the Oregon vs Illinois game will be declared the winner of this market. The resolution will be based on the official game statistics and score as reported by a trusted sports data source. Traders will be able to see the final result and settlement details on Kalshi following the conclusion of the game.

Several factors could significantly influence this market before the game concludes. Any news regarding key player injuries for either Oregon or Illinois would likely cause a shift in the odds. Unexpected changes in weather conditions could also play a role, potentially favoring one team’s playing style over the other. In-game performance during the first and second quarters will also be a major driver, as traders react to how each team is playing. Finally, any significant strategic adjustments made by the coaches could impact expectations and move the market.