TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Boston College vs SMU: 3rd Quarter Winner
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What is the result of Boston College vs SMU?

Volume:
$6,174

SMU

 - Kalshi

SMU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 2:39 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

SMU

View
100%
Yes 100¢No 0¢
—
N/A
$1,220
N/A
N/A
$1,055
Settled
Yes
kalshi

Boston College

0%
Yes 0¢No 100¢
—
N/A
$2,775
N/A
N/A
$1,317
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$2,179
N/A
N/A
$1,546
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between Boston College and SMU. The outcome depends solely on the performance during the third quarter, regardless of the overall game result.

Kalshi

If SMU wins the 3rd quarter 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 3rd quarter 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 3rd quarter 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 3rd quarter market provides real-time data on the probabilities of each team winning the third quarter. You can view the current odds, track the price history to see how sentiment has shifted, and monitor the 24-hour trading volume, which is currently $4,738. The total volume traded on this market is $6,174. This allows you to assess market activity and see where other traders are placing their predictions for this college football contest.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market’s prices are driven purely by traders’ willingness to buy or sell based on their own analysis. If a significant discrepancy exists, it might indicate that prediction market participants believe the sportsbook is mispricing the probability of a particular outcome. However, it’s important to remember that both represent probabilities, and each has its own strengths and weaknesses in forecasting the game’s result.

On Kalshi, this market is priced through a continuous order book where traders can buy and sell contracts representing potential outcomes. The price of each contract reflects the market’s current assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective belief. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market efficiently incorporates new information as it becomes available, leading to dynamic price movements based on trader activity and evolving expectations about the game.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the team leading at the end of the third quarter of the Boston College versus SMU football game will be declared the winner of this market. The result will be determined by the official game statistics and score as reported by a trusted sports data provider, ensuring a transparent and verifiable outcome for all participants.

Several factors could influence the price of this market. Any news regarding key player injuries for either Boston College or SMU would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is expected during the game, could also impact trading activity. Additionally, late-breaking news about coaching strategies or team morale, or even significant shifts in public perception based on pre-game analysis, could all contribute to price fluctuations in this market before it resolves.