TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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McNeese vs LSU
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What is the result of McNeese vs LSU?

Volume:
$2,320,245

LSU

 - Kalshi

LSU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 11:14 PM 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

LSU

View
100%
Yes 100¢No 0¢
—
N/A
$155,477
N/A
N/A
$142,704
Settled
Yes
kalshi

McNeese

0%
Yes 0¢No 100¢
—
N/A
$2,164,768
N/A
N/A
$2,059,015
Settled
No
Total markets: 2

Intro

This market tracks whether LSU will win its college football game against McNeese, scheduled for October 3, 2026. Currently, Kalshi gives LSU a 99.0% probability of winning, while McNeese has a 1.0% probability. The market resolves based on the outcome of the McNeese vs LSU college football game, as reported by the game’s official result; if McNeese wins, the market resolves to Yes. Traders should watch the game itself on October 3, 2026, as the final score will determine the market’s resolution the following day, October 4, 2026.

Kalshi

The market resolves based on the winner of the McNeese vs LSU college football game scheduled for October 3, 2026. Postponements with a start within 48 hours keep the market active for final-result resolution. Cancellations or failures to start within 48 hours result in fair-price resolution. Kalshi disclaims any NCAA affiliation, and all trademarks belong to respective owners.

Frequently asked questions

On Kalshi, the dashboard for the McNeese vs LSU game tracks the current odds, price history, and 24-hour trading volume. Currently, the volume is $1,787,676 and the total volume traded on this market is $2,320,245. You can see how the implied probability of each outcome shifts over time as traders buy and sell contracts. The dashboard provides a real-time view of where the crowd believes the outcome of this game will land, offering a dynamic representation of expectations.

Typically, prediction market odds reflect a wisdom-of-the-crowd perspective, often differing from initial sportsbook lines. Sportsbooks set lines to balance action and incorporate a profit margin, while this market allows traders to express their independent beliefs. As more information becomes available – such as injury reports or weather forecasts – this market can react more quickly than traditional sportsbooks. It’s common to see the odds on Kalshi converge with sportsbook odds as the event approaches, though discrepancies can still occur due to differing participant expertise and information access.

On Kalshi, this market is priced through a continuous order book where traders bid and ask for contracts representing each possible outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe an outcome is likely, the higher the contract price will climb, and vice versa. This dynamic pricing mechanism allows for real-time adjustments based on new information and changing sentiment surrounding the McNeese vs LSU game.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect the final result of the McNeese vs LSU game, as officially recorded. Traders holding contracts corresponding to the winning outcome will receive a payout, while those holding contracts on losing outcomes will not. The platform will verify the result against established sources to ensure an accurate and transparent resolution process.

Several factors could significantly influence this market before the game takes place. Key injuries to star players on either the McNeese or LSU teams would likely cause shifts in the odds. Unexpected changes in weather conditions, particularly if they favor one team’s playing style, could also impact trading activity. Major news regarding team morale, coaching decisions, or even significant betting patterns observed elsewhere could all contribute to movement in this market. Any development that alters perceptions of each team's chances of winning has the potential to move the price.