TOTAL VOLUME:

$154.8b

24H VOL:

$277,138,640

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

Markets across

39,838

events

MATCHED EVENTS:

4,526

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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SMU vs Syracuse: 2nd Half Spread
kalshi

What is the result of SMU vs Syracuse?

Volume:
$34,572

SMU wins by over 6.5 points

 - Kalshi

SMU wins by over 6.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 3:47 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

SMU wins by over 6.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$11,769
N/A
N/A
$10,616
Settled
Yes
kalshi

SMU wins by over 4.5 points

100%
Yes 100¢No 0¢
—
N/A
$3,415
N/A
N/A
$2,372
Settled
Yes
kalshi

SMU wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,103
N/A
N/A
$1,889
Settled
Yes
kalshi

SMU wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$411
N/A
N/A
$294
Settled
Yes
kalshi

SMU wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$5,589
N/A
N/A
$4,420
Settled
No
kalshi

SMU wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,843
N/A
N/A
$2,768
Settled
No
kalshi

SMU wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,565
N/A
N/A
$2,522
Settled
No
kalshi

SMU wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,162
N/A
N/A
$1,425
Settled
No
kalshi

SMU wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,724
N/A
N/A
$1,521
Settled
No
kalshi

Syracuse wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$626
N/A
N/A
$75
Settled
No
kalshi

SMU wins by over 17.5 points

0%
Yes 0¢No 100¢
—
N/A
$335
N/A
N/A
$109
Settled
No
kalshi

Syracuse wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$220
N/A
N/A
$165
Settled
No
kalshi

Syracuse wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$197
N/A
N/A
$178
Settled
No
kalshi

SMU wins by over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$165
N/A
N/A
$153
Settled
No
kalshi

Syracuse wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$158
N/A
N/A
$89
Settled
No
kalshi

Syracuse wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$131
N/A
N/A
$125
Settled
No
kalshi

Syracuse wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$74
N/A
N/A
$64
Settled
No
kalshi

SMU wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$56
N/A
N/A
$56
Settled
No
kalshi

Syracuse wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$15
N/A
N/A
$15
Settled
No
kalshi

Syracuse wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$13
N/A
N/A
$13
Settled
No
kalshi

Syracuse wins by over 14.5 points

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 21

Description

These markets focus on predicting whether a specific team will win by a designated margin in the second half of an upcoming college football game, considering only points scored after halftime.

Kalshi

All markets resolve based solely on points scored during the second half (including overtime) of the SMU vs Syracuse college football game scheduled for October 31, 2026. Each market corresponds to a specific point differential threshold, with 'Yes' resolving if the winning team's second-half point margin exceeds that threshold. If the game is postponed but commences within 48 hours of its original start time, markets remain open and resolve according to the final official result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing or outcome.

Frequently asked questions

On Kalshi, the dashboard for the SMU vs Syracuse spread tracks the current price of contracts representing different point spreads for the second half of the game. You can view the price history, illustrating how the market has fluctuated over time, and the 24-hour trading volume, which currently stands at $18,318. The total volume traded on this market is $18,335. This allows participants to gauge market sentiment and identify potential trading opportunities related to the expected margin of victory in the second half.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. If a significant number of traders believe the sportsbook’s line is inaccurate, the price on Kalshi will move accordingly, potentially offering different value than what’s available at a sportsbook. It’s common to see discrepancies, especially as new information emerges.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the SMU vs Syracuse spread. The price of each 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 constantly adjusting their bids and asks based on new information, leading to dynamic price movements. The more traders who believe SMU will win by over 7.5 points, for example, the higher the price of contracts representing that outcome will climb.

This market resolves around Oct 31, 2026, with the outcome confirmed once the final point spread of the second half of the SMU vs Syracuse game is verifiable from credible public reporting. The resolution will be based on the official result reported by sports data providers. Traders who hold contracts corresponding to the correct outcome will receive a payout of 100, while those holding contracts on incorrect outcomes will forfeit their investment. The market's final price will reflect the accuracy of the collective prediction.

Several factors could influence the price of this market before Oct 31, 2026. Any news regarding injuries to key players on either the SMU or Syracuse teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to affect the style of play, could also impact trading activity. In-game performance during the first half, and any adjustments made by the coaching staffs, could also shift market sentiment. Unexpected announcements or developments related to team morale or strategy could also contribute to price fluctuations.