TOTAL VOLUME:

$154.8b

24H VOL:

$277,138,640

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

Markets across

39,838

events

MATCHED EVENTS:

4,526

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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USC Trojans vs. UNLV Runnin' Rebels (W)
polymarket
kalshi

What is the result of USC vs UNLV?

Volume:
$171,896

USC

 - Kalshi

USC - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 2, 2026

Closed: Nov 2, 6:11 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

USC

View
100%
Yes 100¢No 0¢
—
N/A
$20,698
N/A
N/A
$20,147
Settled
Yes
polymarket

USC Trojans vs. UNLV Runnin' Rebels (W)

View
100%
3%
Yes 100¢No 0¢
—
N/A
$1,346
N/A
N/A
N/A
Settled
Yes
kalshi

UNLV

View
0%
Yes 0¢No 100¢
—
N/A
$149,852
N/A
N/A
$134,278
Settled
No
Total markets: 3

Description

This event group concerns the outcome of the Women's college basketball game between the USC Trojans and the UNLV Runnin' Rebels scheduled for November 2nd. The markets ask whether either team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic is effectively a 'will the game happen' market, while Polymarket is a standard win/loss market.Hero tip: Be aware that Kalshi will resolve 'Yes' regardless of which team wins, while Polymarket requires identifying the correct winner. This significantly alters the trading strategy.

Critical divergence points:

  • Polymarket: The market resolves based on which team wins the game on November 2nd. If the game is postponed, the market remains open until completion. If canceled, it resolves 50-50. 'This event is for the WBB game between USC Trojans and UNLV Runnin' Rebels on November 2 at 4:00PM ET.'
  • Kalshi: The market resolves to 'Yes' if either UNLV or USC wins the game originally scheduled for November 2nd. 'If UNLV wins the USC vs UNLV women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If USC wins the USC vs UNLV 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 USC Trojans and UNLV Runnin' Rebels on November 2 at 4:00PM 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 based on the official result of the USC vs UNLV women's college basketball game scheduled for November 2, 2026. If the game is postponed but commences within 48 hours of its original start time, the market remains open and resolves according to the final outcome. Should the game be cancelled or fail to start within the 48-hour window, both markets will resolve to a fair price. Kalshi clarifies that it holds no official affiliation with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

Prediction market odds often reflect a more diverse range of information than traditional sportsbooks. While sportsbooks primarily consider statistical analysis and expert opinions, this market incorporates the wisdom of the crowd, potentially capturing insights overlooked by conventional methods. Sportsbooks also include a 'vig' or commission, impacting payouts; prediction markets typically have lower fees. It’s common to see initial discrepancies, but as the event approaches, the odds on this market and those offered by sportsbooks tend to converge, representing a collective assessment of the likely outcome.

Differences in prices between Polymarket and Kalshi can arise from several factors. Each platform has its own user base, trading dynamics, and fee structures, influencing how quickly information is incorporated into prices. 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. Furthermore, the volume traded on each platform can vary significantly, leading to price discrepancies. Different market makers and traders may also have varying beliefs about the USC vs. UNLV game, contributing to divergent pricing. These variations present opportunities for arbitrage, as traders attempt to profit from price differences across platforms.

Several factors could influence trading activity and shift the odds on this market. Any news regarding player injuries, changes in coaching strategies, or significant team performance updates could impact predictions. Unexpected upsets in other games involving either USC or UNLV might also affect sentiment. Public opinion, media coverage, and even social media trends can contribute to shifts in volume and price. As the game approaches, even minor developments could lead to substantial movement in this market, reflecting the evolving expectations of traders.