TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Georgia Tech vs Stanford: 3rd Quarter Winner
kalshi

What is the result of Georgia Tech vs Stanford?

Volume:
$22,280

Stanford wins 3rd Quarter

 - Kalshi

Stanford wins 3rd Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 27, 1:17 AM EST

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Kalshi

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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

Stanford wins 3rd Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$8,306
N/A
N/A
$5,707
Settled
Yes
kalshi

Georgia Tech wins 3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$11,397
N/A
N/A
$5,691
Settled
No
kalshi

Tie 3rd Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$2,576
N/A
N/A
$2,318
Settled
No
Total markets: 3

Description

This market tracks which team will lead at the end of the third quarter in an upcoming college football game between Georgia Tech and Stanford. It reflects the competitive momentum each team might hold during that specific period of play.

Kalshi

The market resolves based on which team scores more points in the third quarter of the Georgia Tech vs Stanford college football game scheduled for September 26, 2026. If Stanford has the highest score at the end of the third quarter, the 'Stanford wins 3rd Quarter' market resolves to Yes. If Georgia Tech has the highest score, the 'Georgia Tech wins 3rd Quarter' market resolves to Yes. If both teams are tied at the end of the third quarter, the 'Tie 3rd Quarter' market resolves to Yes. For all markets, only points scored during the third quarter count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Georgia Tech vs Stanford game tracks the current odds for each possible outcome – which team will win the 3rd quarter. You’ll find a price history showing how those odds have changed over time, reflecting trader sentiment. The dashboard also displays the 24-hour trading volume, currently at $21,438, and the total volume traded to date, which is $22,280. This allows you to gauge market activity and interest in the different potential results of this contest.

Typically, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks often incorporate a ‘vig’ or commission into their odds, representing their profit margin. This market, driven by the collective predictions of traders, aims to reflect the true probability of each outcome. While sportsbook odds might initially appear different, they often converge as more information becomes available and public opinion solidifies. It’s common to see prediction markets outperform sportsbooks in accuracy, as they benefit from a wider range of informed participants.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the 3rd quarter in the Georgia Tech vs Stanford game will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders who correctly predicted the 3rd quarter winner will receive a payout based on the final contract price at resolution, while those who predicted incorrectly will forfeit their investment.

Several factors could influence the trading activity in this market. Any news regarding player injuries or changes to the starting lineups for either Georgia Tech or Stanford would likely cause significant movement. Game day weather conditions, particularly if they favor one team’s playing style, could also impact the odds. Unexpected announcements about coaching strategies or team morale might also sway trader sentiment. Furthermore, large volume trades from informed participants could quickly shift the prices, reflecting new insights or analysis regarding the game’s potential outcome.