TOTAL VOLUME:

$155.1b

24H VOL:

$337,672,170

24H TRANSACTIONS:

3,002,125,488

OPEN INTEREST:

$2,014,360,784

421,272

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40,138

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4,437

PLATFORM COVERAGE:

5

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37%

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Kalshi:

63%

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Columbia vs. Penn
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What is the result of Columbia vs Penn?

Volume:
$3,004

Columbia vs. Penn

 - Predict

Columbia vs. Penn - Predict

1W

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Positive

Negative

Neutral

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Vol.

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Resolved Oct 17, 2026

Closed: Oct 16, 10:00 PM EST

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Columbia vs. Penn

View
100%
67%
Yes 100¢No 0¢
—
$26,895
$3,004
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between Columbia and Penn, scheduled for October 16 at 7:00PM ET: This market will resolve to "Columbia" if Columbia win the game. This market will resolve to "Penn" if Penn 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 Columbia and Penn, scheduled for October 16 at 7:00PM ET: This market will resolve to "Columbia" if Columbia win the game. This market will resolve to "Penn" if Penn 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 Columbia vs. Penn game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time, as well as the total volume traded in this market, which currently stands at $3,004. The 24-hour volume is $2,954, indicating recent trading activity. This allows users to gauge market sentiment and identify potential opportunities based on how others are pricing the likelihood of various results in the game.

Often, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market reflects the collective wisdom of traders who are incentivized to accurately predict the outcome. Discrepancies can arise due to differing information, biases, or simply varying levels of expertise among participants. It’s common to see this market move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts regarding the Columbia vs. Penn game.

On Predict, 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 current assessment of its probability. As more traders participate and place orders, the prices adjust to find an equilibrium. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a market-making algorithm to ensure there's always a bid and ask price available, facilitating smooth trading and accurate price discovery for the Columbia vs. Penn game.

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 Columbia vs. Penn game, as reported by official sources, will determine the winning contract. The resolution process is designed to be objective and transparent, relying on publicly available data to ensure an accurate and fair settlement of this market. Traders will be able to see the verified result and any associated payouts on Predict following the event’s completion.

Several factors could influence the trading activity and price movement in this market before Oct 17, 2026. Key player injuries, unexpected coaching changes, or significant shifts in team performance could all impact trader sentiment. News reports about team morale, weather forecasts affecting game conditions, or even public statements from analysts could also contribute to price fluctuations. Any information that alters the perceived probability of either team winning the Columbia vs. Penn game is likely to be reflected in the market’s pricing.