TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Syracuse vs Virginia: 2nd Quarter Winner
kalshi

What is the result of Syracuse vs Virginia?

Volume:
$2,390

Syracuse

 - Kalshi

Syracuse - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 9:11 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

Syracuse

View
100%
Yes 100¢No 0¢
—
N/A
$1,150
N/A
N/A
$982
Settled
Yes
kalshi

Virginia

0%
Yes 0¢No 100¢
—
N/A
$861
N/A
N/A
$844
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$378
N/A
N/A
$376
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of an upcoming college football game between Syracuse and Virginia. It reflects the competitive dynamics of the game within a specific timeframe, offering insight into short-term performance rather than the overall result.

Kalshi

If Virginia wins the 2nd quarter of the Syracuse vs Virginia college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Syracuse wins the 2nd quarter of the Syracuse vs Virginia college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Syracuse vs Virginia college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Syracuse vs Virginia 2nd quarter market displays the current price, a price history chart showing how the market has traded over time, and the 24-hour trading volume. Currently, the volume is $2,390 and the total volume for this market is $2,390. This allows traders to monitor the market’s activity and assess the collective predictions of other participants. The dashboard provides a real-time view of how the market is valuing the potential outcomes of which team will win the 2nd 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 aggregate beliefs of informed traders willing to put their money where their mouth is. Generally, prediction markets tend to be more accurate than traditional polls or expert opinions, and can sometimes diverge from sportsbook lines, especially when new information emerges or public sentiment shifts. It’s common to see differences in implied probabilities, as this market is driven by incentive-based forecasting.

On Kalshi, this market is priced through a continuous order book, where traders submit buy and sell orders for contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to offer accurate predictions, as they profit from correctly anticipating the outcome. As more traders participate and new information becomes available, the prices adjust to reflect the evolving consensus. The current price indicates the market’s collective assessment of each team’s chances of winning the 2nd quarter.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 2nd quarter of the Syracuse vs Virginia game will be declared the winner of this market. The resolution will be based on official game statistics and results, as reported by a trusted sports data source. Traders will be able to view the resolution details on Kalshi once the outcome has been officially verified and finalized.

Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift the perceived probabilities. Unexpected performance in the first quarter of the game would likely have a significant impact, as would any significant in-game events like key turnovers or scoring drives. Public sentiment and media coverage can also play a role, though this market is primarily driven by informed traders. Monitoring these signals can help traders assess potential opportunities and adjust their positions accordingly.