TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Stanford vs. Notre Dame
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What is the result of Stanford vs. Notre Dame?

Volume:
$300

Stanford vs. Notre Dame

 - Predict

Stanford vs. Notre Dame - Predict

1W

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Positive

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Neutral

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Resolved Oct 10, 2026

Closed: Oct 10, 6:30 PM EST

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Stanford vs. Notre Dame

View
1%
Yes 1¢No 99¢
—
$6,841
$300
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Stanford and Notre Dame, scheduled for October 10 at 3:30PM ET: This market will resolve to "Stanford" if Stanford win the game. This market will resolve to "Notre Dame" if Notre Dame 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 Stanford and Notre Dame, scheduled for October 10 at 3:30PM ET: This market will resolve to "Stanford" if Stanford win the game. This market will resolve to "Notre Dame" if Notre Dame 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 Stanford vs. Notre Dame 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. Currently, the total volume for this market is $300, with $300 traded in the last 24 hours. This provides a real-time view of where traders stand on the likely result of the game, reflecting their collective predictions. The dashboard is a key tool for understanding market sentiment and potential trading opportunities.

Generally, prediction market odds tend to be more accurate than traditional sportsbook odds, especially closer to the event date. This is because prediction markets aggregate the wisdom of the crowd, allowing for a more nuanced assessment of probabilities. However, sportsbook odds often reflect public perception and biases, and may be influenced by factors like marketing and promotional offers. While both offer a way to gauge the likelihood of outcomes, this market benefits from the incentive structure of allowing participants to profit from correct predictions, leading to potentially more informed pricing.

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 current market consensus on its probability. 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 becomes available, the prices adjust accordingly. This dynamic pricing mechanism ensures that the market reflects the latest insights and expectations regarding the Stanford vs. Notre Dame game. The price movements are driven entirely by supply and demand from users on Predict.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Stanford vs. Notre Dame game will be used to determine the winning contract. The resolution process relies on publicly available data to ensure an objective and transparent outcome. Traders will be able to see the final result and the payout of their contracts shortly after the game concludes and the result is officially confirmed. This ensures a clear and verifiable conclusion to this market.

Several factors could influence this market leading up to Oct 10, 2026. Key injuries to star players on either team would likely cause significant shifts in the odds. Unexpected coaching changes or major strategic announcements could also impact trader sentiment. Furthermore, any news regarding team morale, weather forecasts for the game day, or changes in betting trends could all contribute to price movements. Public perception, fueled by media coverage and analyst predictions, can also play a role in shaping the market’s direction, as traders react to new information and adjust their forecasts.