TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Louisiana Tech vs Louisiana-Monroe
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What is the result of Louisiana Tech vs Louisiana-Monroe?

Volume:
$0

Louisiana-Monroe

 - Kalshi

Louisiana-Monroe - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 5, 2026

Closed: Oct 5, 9:30 PM EST

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Outcome
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Chance %
Price
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Liquidity
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24h
7d
Open Interest
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Result
kalshi

Louisiana-Monroe

View
N/A
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—
N/A
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Settled
ResolvedResult not available
kalshi

Louisiana Tech

N/A
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N/A
N/A
N/A
N/A
Settled
ResolvedResult not available
Total markets: 2

Description

This market focuses on the college football game between Louisiana Tech and Louisiana-Monroe happening on October 17, 2026. The outcome hinges on whether Louisiana-Monroe claims victory in this matchup.

Kalshi

Resolution depends on the official result of the Louisiana Tech vs Louisiana-Monroe college football game scheduled for October 17, 2026. If postponed but played within 48 hours, the market remains active and resolves per the final result. If canceled or not started within 48 hours, the market settles at a fair price. Kalshi asserts no association with the NCAA, and all trademarks remain with their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Louisiana Tech vs Louisiana-Monroe game tracks the current odds, price history, and 24-hour trading volume. You can see how the probabilities for different outcomes are shifting in real-time. Currently, the total volume traded on this market is $0, with $0 traded in the last 24 hours. This provides a clear picture of how traders are assessing the likelihood of each team winning. The dashboard is updated continuously to reflect the latest market activity and sentiment.

Prediction market odds often offer a different perspective than those found at sportsbooks. Sportsbooks set their lines to balance action and ensure profit, while this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. Often, prediction markets can be more accurate than traditional polls or analysts, as they aggregate diverse information and individual assessments. However, sportsbook odds can still be a useful data point when forming your own opinion on the likely result of the Louisiana Tech vs Louisiana-Monroe game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s probability of that outcome occurring. As more traders buy a contract, its price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity determine the liquidity and efficiency of price discovery. Traders are constantly adjusting their positions based on new information and their own analysis, leading to dynamic price movements in this market for the Louisiana Tech vs Louisiana-Monroe game.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Louisiana Tech vs Louisiana-Monroe game, as reported by official sources, will determine the winning contract. The platform will then process the results and distribute payouts to contract holders accordingly. Traders should monitor official sources for the game’s final score to understand when and how this market will be settled. It's important to note that resolution is based on the official outcome of the game.

Several signals or events could significantly move this market before it resolves. Any news regarding key player injuries for either Louisiana Tech or Louisiana-Monroe would likely impact trading activity. Changes in weather forecasts, particularly if severe weather is expected, could also influence the market. Unexpected coaching decisions or significant shifts in team performance during other games could also lead to price adjustments. Furthermore, large volume trades from informed participants could create short-term volatility in this market as traders react to new information.