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412,077

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4,526

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5

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Louisiana-Monroe Warhawks vs. Ohio Bobcats (W)
polymarket
kalshi

What is the result of Louisiana-Monroe vs. Ohio?

Volume:
$4,718

Ohio

 - Kalshi

Ohio - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 2, 2026

Closed: Nov 2, 9:19 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

Ohio

View
100%
Yes 100¢No 0¢
—
N/A
$2,167
N/A
N/A
$2,118
Settled
Yes
kalshi

Louisiana-Monroe

View
0%
23%
Yes 0¢No 100¢
—
N/A
$2,551
N/A
N/A
$2,512
Settled
No
polymarket

Louisiana-Monroe Warhawks vs. Ohio Bobcats (W)

View
0%
34%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This prediction group concerns the outcome of the women's college basketball game between Louisiana-Monroe Warhawks and Ohio Bobcats scheduled for November 2nd. The markets ask whether either team will win the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's market resolves 'Yes' if *either* team wins, while Polymarket focuses on determining the winning team.Hero tip: Kalshi's market effectively asks if the game will happen and have a winner, while Polymarket's is a standard win/loss market. Consider this when evaluating probabilities.

Critical divergence points:

  • Polymarket: The market resolves based on the outcome of the game. If the game is postponed, the market remains open. If canceled, it resolves 50-50. "This event is for the WBB game between Louisiana-Monroe Warhawks and Ohio Bobcats on November 2 at 7:00PM ET."
  • Kalshi: The market resolves to 'Yes' if either Ohio or Louisiana-Monroe wins the game. "If Ohio wins the Louisiana-Monroe vs Ohio women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If Louisiana-Monroe wins the Louisiana-Monroe vs Ohio 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 Louisiana-Monroe Warhawks and Ohio Bobcats on November 2 at 7:00PM 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 according to the winner of the Louisiana-Monroe vs Ohio women's college basketball game scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of the original start time, the market remains open and resolves based on the official final result. If the game is cancelled or does not start within 48 hours, both markets resolve to a fair price. Kalshi notes it has no official affiliation with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes for the Louisiana-Monroe vs. Ohio game. Currently, the aggregated volume across both platforms is $4,718, with $3,074 traded in the last 24 hours. This allows for a consensus view of the event’s potential results, reflecting the collective predictions of market participants. The dashboard provides a way to compare how traders on each platform assess the likelihood of each team winning, offering a broader perspective than any single market alone. This aggregated view helps to identify potential discrepancies and overall market sentiment regarding the game.

Prediction market odds, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks primarily aim to set lines that balance betting action and ensure profitability, while prediction markets aggregate the wisdom of the crowd. This market’s odds reflect what participants believe will happen, potentially incorporating information not yet fully priced into sportsbook lines. Furthermore, prediction markets typically have lower transaction costs, allowing for more efficient price discovery. It’s common to see prediction market probabilities diverge from sportsbook implied probabilities, especially as new information emerges.