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Syracuse vs UConn: 2nd Half Winner
kalshi

What is the result of Syracuse vs UConn?

Volume:
$13,662

UConn

 - Kalshi

UConn - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 4:23 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

UConn

View
100%
Yes 100¢No 0¢
—
N/A
$3,163
N/A
N/A
$3,069
Settled
Yes
kalshi

Syracuse

View
0%
Yes 0¢No 100¢
—
N/A
$7,087
N/A
N/A
$3,378
Settled
No
kalshi

Tie

View
0%
Yes 0¢No 100¢
—
N/A
$3,412
N/A
N/A
$2,441
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points specifically in the second half of the Syracuse vs UConn college football game scheduled for October 3, 2026. It highlights the importance of second-half performance, where only points scored after halftime count toward the outcome.

Kalshi

The market resolves based on which team scores more points in the second half (including overtime) of the Syracuse vs UConn college football game originally scheduled for October 3, 2026. If UConn scores more second-half points, the UConn market resolves to Yes. If Syracuse scores more second-half points, the Syracuse market resolves to Yes. If both teams score an equal number of points in the second half, the Tie market resolves to Yes. For all markets, if the game is postponed but begins within 48 hours of its original scheduled start time, the market remains open and resolves based on the official final result. If the game does not start within 48 hours of the original scheduled start time, the market resolves to a fair price. Only points scored during the second half (including overtime) count toward this market.

Frequently asked questions

On Kalshi, the dashboard for the Syracuse vs UConn 2nd half market displays the current price, a historical price chart, and 24-hour trading volume. Currently, volume stands at $13,662, with total volume reaching $13,662. This allows traders to see how the perceived probability of each outcome is changing over time and gauge market interest. The dashboard provides a real-time view of where traders are placing their bets on which team will win the second half of the game, offering insights into market sentiment.

Typically, prediction market odds reflect a different set of information and incentives than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, while this market aims to represent the true probability of an event as assessed by traders. While sportsbooks may initially set lines based on power rankings and expert opinions, this market evolves as new information emerges and traders adjust their positions. Discrepancies can arise due to differing risk assessments, public perception, and the influence of sharp bettors participating in this market.

On Kalshi, this market is priced through a continuous double auction, meaning buyers and sellers set the price by placing bids and asks. The price represents the probability of a particular outcome occurring – in this case, either Syracuse or UConn winning the second half. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price converges towards what the collective market believes is the true probability. Traders can buy 'yes' contracts if they believe an outcome will happen, or sell 'no' contracts if they believe it won't, profiting if their prediction proves correct.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second half of the Syracuse vs UConn game will be declared the winner. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding contracts on the winning team will receive a payout, while those holding contracts on the losing team will not.

Several factors could influence the price of this market before resolution. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift trader sentiment. Live game performance during the first half, including scoring runs or key defensive plays, will likely have a significant impact. Unexpected announcements or developments related to either team could also cause price fluctuations. Public perception, as reflected in social media and sports news, may also contribute to movements in this market.