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$228,458,490

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2,984,028,936

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$1,879,276,037

410,833

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40,345

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4,363

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5

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Stanford vs Wake Forest: 1st Half Spread
kalshi

What is the result of Stanford vs Wake Forest?

Volume:
$113,158

Wake Forest wins by over 9.5 points

 - Kalshi

Wake Forest wins by over 9.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 1:44 PM EST

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Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Wake Forest wins by over 9.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$28,860
N/A
N/A
$21,178
Settled
Yes
kalshi

Wake Forest wins by over 6.5 points

100%
37%
Yes 100¢No 0¢
—
N/A
$19,172
N/A
N/A
$10,068
Settled
Yes
kalshi

Wake Forest wins by over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$15,056
N/A
N/A
$10,516
Settled
Yes
kalshi

Wake Forest wins by over 17.5 points

100%
Yes 100¢No 0¢
—
N/A
$13,549
N/A
N/A
$8,226
Settled
Yes
kalshi

Wake Forest wins by over 7.5 points

100%
49%
Yes 100¢No 0¢
—
N/A
$8,234
N/A
N/A
$8,211
Settled
Yes
kalshi

Wake Forest wins by over 20.5 points

100%
Yes 100¢No 0¢
—
N/A
$8,184
N/A
N/A
$5,415
Settled
Yes
kalshi

Wake Forest wins by over 4.5 points

100%
39%
Yes 100¢No 0¢
—
N/A
$2,704
N/A
N/A
$2,645
Settled
Yes
kalshi

Wake Forest wins by over 23.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,479
N/A
N/A
$2,081
Settled
Yes
kalshi

Wake Forest wins by over 14.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,389
N/A
N/A
$2,320
Settled
Yes
kalshi

Wake Forest wins by over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,351
N/A
N/A
$2,262
Settled
Yes
kalshi

Wake Forest wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,616
N/A
N/A
$1,616
Settled
Yes
kalshi

Wake Forest wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,207
N/A
N/A
$1,207
Settled
Yes
kalshi

Stanford wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,165
N/A
N/A
$1,106
Settled
No
kalshi

Stanford wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,139
N/A
N/A
$1,139
Settled
No
kalshi

Stanford wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,042
N/A
N/A
$1,042
Settled
No
kalshi

Stanford wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$825
N/A
N/A
$825
Settled
No
kalshi

Stanford wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$740
N/A
N/A
$740
Settled
No
kalshi

Stanford wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$735
N/A
N/A
$735
Settled
No
kalshi

Stanford wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$726
N/A
N/A
$726
Settled
No
kalshi

Stanford wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$523
N/A
N/A
$523
Settled
No
kalshi

Stanford wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$460
N/A
N/A
$460
Settled
No
Total markets: 21

Description

These markets track the point differential in the first half of a college football game between Stanford and Wake Forest. Each market corresponds to a specific margin threshold, resolving based on whether the winning team exceeds that margin by halftime.

Kalshi

All markets resolve based solely on the point differential at the end of the first half of the Stanford vs Wake Forest college football game scheduled for October 3, 2026. A 'Yes' outcome occurs if the specified team wins by more than the stated margin during that half. If the game is postponed but commences within 48 hours of the original start time, markets remain open and resolve according to the official halftime result. Should the game fail to start within this window, all markets resolve to a fair price. Only points scored in the first half count toward resolution, and Kalshi disclaims any official affiliation with the NCAA or ownership of associated trademarks.

Frequently asked questions

On Kalshi, the dashboard for the Stanford vs Wake Forest spread tracks the current price of contracts representing whether the final point spread will be over or under a certain value. You can view the historical price action, allowing you to analyze how traders' expectations have shifted over time. The dashboard also displays the 24-hour trading volume of $111,587 and the total volume traded to date of $113,158. This provides insight into the level of interest and activity surrounding this particular market.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. If a significant discrepancy exists between this market and sportsbook odds, it might indicate differing opinions on the likely outcome or varying levels of information available to each group. However, as the event approaches, the prices in this market often converge with those found at sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the Stanford vs Wake Forest spread. The price of a contract indicates the probability of that outcome occurring. As more traders participate, the price adjusts to reflect the collective expectation. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Price movements are driven by supply and demand; increased buying pressure raises the price, while increased selling pressure lowers it. This dynamic pricing mechanism allows for a real-time assessment of the market's sentiment.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the first half of the Stanford vs Wake Forest game will be used to determine whether the 'over' or 'under' contract will pay out. The resolution will be based on the official result reported by a trusted sports data provider, ensuring an objective and verifiable outcome for all participants in this market.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the Stanford or Wake Forest teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's style of play, could also affect trading activity. Furthermore, late-breaking news about team strategies or coaching decisions might prompt traders to reassess their positions. Public sentiment, as reflected in polls or expert analysis, can also contribute to price fluctuations in this market.