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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Lindenwood vs. Eastern Illinois
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What is the result of Lindenwood vs. Eastern Illinois?

Volume:
$2,480

Lindenwood vs. Eastern Illinois

 - Predict

Lindenwood vs. Eastern Illinois - Predict

1W

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Positive

Negative

Neutral

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Vol.

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Resolved Oct 17, 2026

Closed: Oct 17, 6:00 PM EST

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Lindenwood vs. Eastern Illinois

View
100%
Yes 100¢No 0¢
—
$14,313
$2,480
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between Lindenwood and Eastern Illinois, scheduled for October 17 at 3:00PM ET: This market will resolve to "Lindenwood" if Lindenwood win the game. This market will resolve to "Eastern Illinois" if Eastern Illinois win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.

Predict

In the upcoming college football game between Lindenwood and Eastern Illinois, scheduled for October 17 at 3:00PM ET: This market will resolve to "Lindenwood" if Lindenwood win the game. This market will resolve to "Eastern Illinois" if Eastern Illinois win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.

Frequently asked questions

On Predict, the dashboard for the Lindenwood vs. Eastern Illinois game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, and monitor the total volume traded in this market. Currently, the total volume is $2,480 with $2,469 traded in the last 24 hours. This provides a real-time view of how PredictionHero users are assessing the likely result of the game, and allows you to see which outcomes are attracting the most interest.

Generally, prediction market odds tend to be more accurate than traditional sportsbook odds, as they reflect the collective wisdom of a diverse group of forecasters. However, it's not uncommon to see initial discrepancies. Sportsbooks often set lines to balance betting action and incorporate a profit margin, while this market is driven purely by participants’ beliefs about the outcome. Over time, the odds on Predict often converge towards what many consider the 'true' probability of each outcome, potentially offering an edge over traditional betting options.

On Predict, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different outcomes. The price of each contract reflects the current probability that outcome will occur, as determined by supply and demand. As more people buy contracts for a particular outcome, the price increases, and vice versa. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market's price is therefore a dynamic representation of the collective forecast of all participants on Predict.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Lindenwood vs. Eastern Illinois game, as reported by official sources, will determine the winning outcome in this market. The platform will verify the result against these sources to ensure accuracy and fairness. Traders who correctly predicted the outcome will be paid out according to the final market prices at resolution.

Several factors could influence the price of this market before Oct 17, 2026. Any significant news regarding team injuries, coaching changes, or unexpected player performance could shift expectations. Game-day weather forecasts also play a role, particularly if conditions are expected to heavily favor one team. Public sentiment, as reflected in media coverage and social media, can also create movement, even if not directly tied to concrete information. Major upsets in other games involving these teams could also indirectly impact trading activity.