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Hofstra Pride vs. Georgia Tech Yellow Jackets (W)
polymarket
kalshi

What is the result of Hofstra Pride vs. Georgia Tech Yellow Jackets?

Volume:
$96,740

Georgia Tech

 - Kalshi

Georgia Tech - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 2, 2026

Closed: Nov 2, 12:33 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

Georgia Tech

View
100%
7%
Yes 100¢No 0¢
—
N/A
$33,083
N/A
N/A
$21,072
Settled
Yes
kalshi

Hofstra

View
0%
5%
Yes 0¢No 100¢
—
N/A
$60,891
N/A
N/A
$52,039
Settled
No
polymarket

Hofstra Pride vs. Georgia Tech Yellow Jackets (W)

View
0%
6%
Yes 0¢No 100¢
—
N/A
$2,766
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between Hofstra Pride and Georgia Tech Yellow Jackets, originally scheduled for November 2, 2026. The markets aim to determine which team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution condition is overly broad, stating 'Yes' for either team winning, while Polymarket focuses on the specific winning team.Hero tip: Prioritize Polymarket as it aligns with standard sports event resolution logic. Kalshi's 'Yes' condition doesn't provide useful information beyond a game occurring.

Critical divergence points:

  • Polymarket: The market resolves based on which team wins the game. If the game is canceled without a make-up game, it resolves 50-50. "This event is for the WBB game between Hofstra Pride and Georgia Tech Yellow Jackets on November 2 at 10:30AM ET."
  • Kalshi: The market resolves to 'Yes' if either Georgia Tech or Hofstra wins the game. "If Georgia Tech wins the Hofstra vs Georgia Tech women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If Hofstra wins the Hofstra vs Georgia Tech women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes."
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This event is for the WBB game between Hofstra Pride and Georgia Tech Yellow Jackets on November 2 at 10:30AM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Kalshi

The market resolves to Yes for the specified team if they win the women’s college basketball game originally scheduled for November 2, 2026. If the game is postponed but starts within 48 hours of the originally scheduled time, the market stays open and resolves based on the official final result. If the game is cancelled or does not start within 48 hours of the originally scheduled start, both markets resolve to a fair price. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the NCAA, and all trademarks, logos, and brand names are the property of their respective owners.

Frequently asked questions

Prediction market odds, like those found for this market, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow participants to freely express their beliefs. This can lead to discrepancies, especially when public sentiment strongly diverges from expert opinion. It’s common to see prediction markets move faster to incorporate new information and adjust probabilities based on real-time trading volume.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in pricing between Polymarket and Kalshi can arise from several factors. Each platform has its own user base, trading rules, and fee structure, all of which can influence price discovery. Additionally, the volume traded on each platform may vary, leading to differing levels of price impact from individual trades. The specific question wording, even slight variations, can also affect how traders interpret the market and, consequently, the resulting price. These factors contribute to the independent price formation observed across platforms.

Several factors could influence trading activity and shift the odds in this market. Any news regarding player injuries, changes in coaching strategies, or significant team performance in preceding games could impact trader sentiment. Unexpected announcements about game conditions, such as weather delays or venue changes, could also cause fluctuations. Furthermore, large trades on either Polymarket or Kalshi can create short-term price movements, especially with a total volume of $96,740 and active 24-hour trading of $94,683.