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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Boston College vs SMU: 4th Quarter Winner
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What is the result of Boston College vs SMU?

Volume:
$17,282

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:30 PM EST

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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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$5,173
N/A
N/A
$2,926
Settled
Yes
kalshi

SMU

0%
Yes 0¢No 100¢
—
N/A
$7,665
N/A
N/A
$1,836
Settled
No
kalshi

Boston College

0%
Yes 0¢No 100¢
—
N/A
$4,445
N/A
N/A
$1,769
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the final quarter of a college football game between Boston College and SMU. It tracks the performance of each team specifically in the last 15 minutes of regulation time, excluding any overtime periods. The outcome depends solely on the relative scoring in that quarter, not the overall game result.

Kalshi

If SMU wins the 4th quarter (excluding overtime) of the Boston College vs SMU college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Boston College wins the 4th quarter (excluding overtime) of the Boston College vs SMU college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 4th quarter (excluding overtime) of the Boston College vs SMU college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the BC vs SMU 4th quarter market displays the current price of each outcome – which team will win the 4th quarter. You can also view the 24-hour trading volume, which is currently $16,950, and the total overall volume traded in this market, totaling $17,282. The dashboard provides a real-time view of how traders are pricing the probability of each team winning the final quarter of the game, allowing you to see shifts in sentiment as new information becomes available. It’s a dynamic tool for understanding the collective prediction.

Typically, prediction market odds reflect a different kind of wisdom than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the aggregated predictions of informed traders. You may find that this market’s implied probabilities diverge from traditional sportsbook lines, especially as the event approaches and more information is factored in by participants. It’s common to see differences, as prediction markets can sometimes be more efficient at incorporating new data and expert opinions, but it’s not guaranteed.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, and the implied probability of that team winning rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a decentralized mechanism, allowing traders to directly influence the price based on their beliefs and information. This creates a dynamic and responsive pricing system.

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 4th quarter will be declared the winner for the purposes of this market. The resolution will be based on official game statistics and results, ensuring a transparent and accurate determination of the winning team. Traders will be able to view the final result and any relevant supporting information on Kalshi after the game concludes.

Several factors could influence the price of this market before the game ends. Any news regarding key player injuries for either Boston College or SMU would likely cause significant movement. Changes in the weather forecast, particularly if it’s expected to heavily impact the passing or running game, could also shift trader sentiment. In-game performance during the first three quarters, such as a dominant offensive showing by one team, would almost certainly cause the market to react. Even broader factors, like significant public betting patterns at sportsbooks, could indirectly influence trading activity.