TOTAL VOLUME:

$154.1b

24H VOL:

$181,481,432

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,827,991,073

405,996

Markets across

40,551

events

MATCHED EVENTS:

4,368

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
SMU vs Syracuse: Overtime
kalshi

What is the result of SMU vs Syracuse?

Volume:
$3,627

Game goes to overtime

 - Kalshi

Game goes to overtime - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 3:44 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

Game goes to overtime

View
0%
Yes 0¢No 100¢
—
N/A
$3,627
N/A
N/A
$2,465
Settled
No
Total markets: 1

Description

In the SMU vs Syracuse college football matchup on October 31, 2026, fans and analysts will be attentive to whether the game remains tied through regulation. If scores are level when time expires, the contest will proceed to overtime, involving extra periods until one team secures a lead that cannot be matched.

Kalshi

If at least 1 overtime period is played in the SMU vs Syracuse college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the SMU vs Syracuse game tracks the current price of contracts representing whether the game will go to overtime. You’ll find a price history chart showing how the market has moved over time, along with the 24-hour trading volume, currently at $769. The total volume traded on this market is $1,029. This allows you to gauge market sentiment and see how actively traders are participating in predicting the outcome of this college football matchup.

Generally, prediction market odds often reflect the “wisdom of the crowd,” potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market’s price is determined by individuals willing to buy or sell contracts based on their own analysis. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook’s initial assessment. It's common to see differences in implied probabilities between this market and sportsbook offerings, though they often converge closer to game time.

On Kalshi, this market is priced through a continuous order book, where traders submit bids and asks for contracts. The current price reflects the probability that the SMU vs Syracuse game will go to overtime, with higher prices indicating a greater perceived chance of overtime. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. The market’s depth and volume indicate the level of confidence and agreement among participants regarding the likelihood of this outcome.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the SMU vs Syracuse game officially goes into overtime according to the official game results. The final result will be determined by the official game statistics and records, ensuring a transparent and verifiable outcome. Traders holding contracts representing the correct outcome will receive a payout, while those holding contracts on the incorrect outcome will forfeit their investment.

Several factors could influence the price of this market leading up to game time. News regarding key player injuries for either SMU or Syracuse would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift the odds. Late-breaking news about team strategies or coaching decisions could also move the market. Finally, significant betting activity, even outside of Kalshi, can influence trader sentiment and lead to price adjustments as people react to new information.