TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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SMU vs Syracuse: Team Total
kalshi

What is the result of SMU vs Syracuse?

Volume:
$129,273

Syracuse over 23.5 points

 - Kalshi

Syracuse over 23.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 3:40 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

Syracuse over 23.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$30,195
N/A
N/A
$28,295
Settled
Yes
kalshi

Syracuse over 27.5 points

100%
Yes 100¢No 0¢
—
N/A
$10,763
N/A
N/A
$9,953
Settled
Yes
kalshi

SMU over 23.5 points

100%
Yes 100¢No 0¢
—
N/A
$5,522
N/A
N/A
$5,501
Settled
Yes
kalshi

SMU over 16.5 points

100%
Yes 100¢No 0¢
—
N/A
$4,537
N/A
N/A
$4,537
Settled
Yes
kalshi

SMU over 20.5 points

100%
Yes 100¢No 0¢
—
N/A
$4,527
N/A
N/A
$4,417
Settled
Yes
kalshi

SMU over 19.5 points

100%
Yes 100¢No 0¢
—
N/A
$3,679
N/A
N/A
$3,675
Settled
Yes
kalshi

Syracuse over 19.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,774
N/A
N/A
$2,771
Settled
Yes
kalshi

Syracuse over 20.5 points

100%
39%
Yes 100¢No 0¢
—
N/A
$2,039
N/A
N/A
$1,976
Settled
Yes
kalshi

SMU over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,953
N/A
N/A
$1,953
Settled
Yes
kalshi

Syracuse over 9.5 points

100%
Yes 100¢No 0¢
—
N/A
$540
N/A
N/A
$538
Settled
Yes
kalshi

Syracuse over 16.5 points

100%
Yes 100¢No 0¢
—
N/A
$483
N/A
N/A
$483
Settled
Yes
kalshi

Syracuse over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$301
N/A
N/A
$296
Settled
Yes
kalshi

SMU over 34.5 points

0%
52%
Yes 0¢No 100¢
—
N/A
$20,748
N/A
N/A
$15,599
Settled
No
kalshi

SMU over 30.5 points

0%
Yes 0¢No 100¢
—
N/A
$10,933
N/A
N/A
$6,518
Settled
No
kalshi

SMU over 27.5 points

0%
Yes 0¢No 100¢
—
N/A
$8,486
N/A
N/A
$5,910
Settled
No
kalshi

Syracuse over 34.5 points

0%
Yes 0¢No 100¢
—
N/A
$5,076
N/A
N/A
$1,861
Settled
No
kalshi

SMU over 41.5 points

0%
29%
Yes 0¢No 100¢
—
N/A
$4,830
N/A
N/A
$4,638
Settled
No
kalshi

SMU over 37.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,108
N/A
N/A
$2,995
Settled
No
kalshi

Syracuse over 30.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,942
N/A
N/A
$2,592
Settled
No
kalshi

Syracuse over 41.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,734
N/A
N/A
$1,710
Settled
No
kalshi

Syracuse over 37.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,102
N/A
N/A
$1,100
Settled
No
kalshi

SMU over 48.5 points

0%
Yes 0¢No 100¢
—
N/A
$964
N/A
N/A
$964
Settled
No
kalshi

Syracuse over 45.5 points

0%
Yes 0¢No 100¢
—
N/A
$960
N/A
N/A
$761
Settled
No
kalshi

SMU over 45.5 points

0%
Yes 0¢No 100¢
—
N/A
$586
N/A
N/A
$570
Settled
No
kalshi

SMU over 51.5 points

0%
Yes 0¢No 100¢
—
N/A
$250
N/A
N/A
$250
Settled
No
Total markets: 25 of 26

Description

This set of markets tracks how many points each team will score in an upcoming college football game, allowing participants to speculate on different scoring thresholds being met or exceeded.

Kalshi

All markets resolve based on whether the specified team scores over the designated point threshold in the SMU vs Syracuse college football game scheduled for October 31, 2026. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the final official score. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain the property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the SMU vs Syracuse team totals market tracks the current prices for each team’s total points scored, the 24-hour trading volume of $80,748, and the overall volume traded to date, which is currently $83,438. You can view the price history to see how the market has moved over time and identify potential trends. The dashboard also highlights the outcome currently favored by traders. This allows you to quickly assess the collective prediction regarding the total points each team will achieve in the game.

Often, prediction market odds reflect a different perspective than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective wisdom of traders who are incentivized to make accurate predictions. Therefore, discrepancies can arise due to differing information, biases, or risk assessments. If sportsbook odds suggest a very clear favorite, this market might show a more nuanced view, especially if there's significant uncertainty surrounding player performance or potential game-day factors. It’s useful to compare the two to gain a broader understanding of potential outcomes.

On Kalshi, this market is priced through a continuous double auction, meaning buyers and sellers set the prices for contracts representing each possible outcome. Traders buy 'yes' contracts if they believe a team will exceed a certain point total and 'no' contracts if they believe they will fall short. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. As more traders participate and new information becomes available, the prices adjust accordingly, providing a real-time assessment of expectations for the SMU vs Syracuse game.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals for both SMU and Syracuse will be sourced from official game statistics. The market will determine which team exceeded (or did not exceed) their respective point totals as defined by the contracts available for trading. The resolution process ensures an objective and transparent determination of the results, based on the official game data available after the conclusion of the SMU vs Syracuse matchup.

Several factors could influence the movement of this market before it resolves. News regarding key player injuries or suspensions for either SMU or Syracuse would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s offensive style, could also shift expectations. Unexpected coaching decisions or strategic adjustments announced leading up to the game could also move the market. Finally, any late-breaking news related to team morale or internal dynamics might influence traders’ assessments of each team’s potential performance.