TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Lafayette vs. Bucknell
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What is the result of Lafayette vs. Bucknell?

Volume:
$300

Lafayette vs. Bucknell

 - Predict

Lafayette vs. Bucknell - Predict

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Neutral

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Resolved Oct 17, 2026

Closed: Oct 17, 6:00 PM EST

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Lafayette vs. Bucknell

View
100%
Yes 100¢No 0¢
—
$28,897
$300
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between Lafayette and Bucknell, scheduled for October 17 at 3:00PM ET: This market will resolve to "Lafayette" if Lafayette win the game. This market will resolve to "Bucknell" if Bucknell 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 Lafayette and Bucknell, scheduled for October 17 at 3:00PM ET: This market will resolve to "Lafayette" if Lafayette win the game. This market will resolve to "Bucknell" if Bucknell 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 Lafayette vs. Bucknell game provides a real-time view of how traders are pricing the outcome. You’ll find the current odds, a price history chart illustrating how those odds have changed over time, and the 24-hour trading volume, which currently stands at $300. The total volume traded on this market is $300. This allows you to quickly assess market sentiment and track changes as new information becomes available. It’s a central hub for understanding how the prediction market views the potential results of the game.

Generally, prediction market odds tend to be more accurate than traditional sportsbook odds, as they reflect the collective wisdom of a diverse group of traders. However, there can be discrepancies. Sportsbooks often set initial lines to balance betting action, while this market is driven purely by predictions of the outcome. It’s common to see this market move more efficiently in response to news and information, potentially offering different probabilities than those found at sportsbooks. Comparing the two can provide a broader perspective on the expected result.

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 probability of that outcome occurring, as perceived by the market participants. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust accordingly, creating a dynamic and responsive prediction. The current price indicates what percentage of the outcome is believed to be true by the collective intelligence of the traders 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 Lafayette vs. Bucknell game will be used to determine the winning contract. The resolution will reflect the official result as reported by a trusted source covering college sports. Traders holding the winning contract will receive a payout based on the final market price at resolution, while those holding losing contracts will forfeit their investment. This ensures a transparent and objective outcome.

Several factors could influence this market before Oct 17, 2026. Any significant news regarding player injuries, coaching changes, or team performance could cause the odds to shift. Unexpected weather conditions on game day are also a potential catalyst. Furthermore, major upsets in other games involving these teams or their conference could impact public perception and trading activity. Even general sentiment expressed in sports news and analysis can contribute to price movements, as traders react to new information and adjust their predictions accordingly.