TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

events

MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Oregon vs Illinois: 2nd Half Winner
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What is the result of Oregon vs Illinois?

Volume:
$8,308

Illinois

 - Kalshi

Illinois - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 6:16 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

Illinois

View
100%
Yes 100¢No 0¢
—
N/A
$5,468
N/A
N/A
$4,847
Settled
Yes
kalshi

Oregon

0%
Yes 0¢No 100¢
—
N/A
$1,465
N/A
N/A
$1,219
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,375
N/A
N/A
$1,082
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of an upcoming college football game between Oregon and Illinois. It specifically tracks performance from halftime onward, including any overtime periods, to decide the outcome.

Kalshi

If Illinois wins the 2nd half (including overtime) of the Oregon vs Illinois college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Oregon wins the 2nd half (including overtime) 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 2nd half (including overtime) 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 2nd half market displays the current price, price history, and 24-hour trading volume. You’ll find a visual representation of how the market has moved over time, allowing you to assess trader sentiment. Currently, the 24-hour volume is $7,554, and the total volume traded to date is $8,308. This information is updated in real-time, providing a dynamic view of how traders are valuing the potential outcomes of which team will win the second half.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set initial lines based on statistical models and expert analysis, while this market’s pricing is driven by actual money being wagered. It’s common to see discrepancies emerge, especially as new information becomes available or public sentiment shifts. Comparing the two can be a useful exercise for informed decision-making, though it’s important to remember they represent different types of forecasts.

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 directly corresponds to its implied probability – a higher price means the market believes that outcome is more likely. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their positions based on new information and their own analysis, which causes the prices to fluctuate. This dynamic pricing mechanism aims to reflect the most up-to-date collective assessment of the event’s potential results.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team that is winning at the end of the second half of the Oregon vs Illinois game will be declared the winner of this market. Resolution will be based on the official game results as reported by a trusted sports data source. The platform will then finalize the payouts to all traders based on their positions at the time of resolution.

Several factors could influence the price of this market leading up to game time. Any news regarding key player injuries or changes to the starting lineups for either Oregon or Illinois would likely cause significant movement. Game-day weather conditions, particularly if they favor one team’s playing style, could also impact trading activity. Furthermore, any significant shifts in public perception, perhaps driven by pre-game analysis or social media trends, could also contribute to price fluctuations in this market.