TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Wake Forest vs California: 1st Half Winner
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What is the result of Wake Forest vs California?

Volume:
$8,297

Wake Forest

 - Kalshi

Wake Forest - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 12:27 AM EST

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Kalshi

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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

View
100%
36%
Yes 100¢No 0¢
—
N/A
$3,427
N/A
N/A
$2,370
Settled
Yes
kalshi

California

0%
Yes 0¢No 100¢
—
N/A
$3,212
N/A
N/A
$2,792
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,658
N/A
N/A
$1,427
Settled
No
Total markets: 3

Description

In this college football event, participants can guess which team will hold the lead at halftime. The result is decided purely by the first-half points, providing an exciting and swift betting opportunity.

Kalshi

If California wins the 1st half of the Wake Forest vs California college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes. If Wake Forest wins the 1st half of the Wake Forest vs California college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Wake Forest vs California college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Wake Forest vs California game tracks the current odds of each team winning the first half, the total volume traded on the market – currently $8,297 – and the 24-hour trading volume, which is $7,996. You can also view a price history chart to see how the market has moved over time. This allows traders to analyze sentiment and make informed decisions about where to allocate their capital in this particular contest. The dashboard provides a real-time view of how people are predicting the outcome.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust probabilities based on their own analysis and information. If a significant amount of money is wagered on one outcome, the price will shift accordingly, potentially offering a different perspective than what’s seen at sportsbooks. It's common to see discrepancies, especially as new information becomes available or public sentiment changes regarding the Wake Forest vs California game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief in the probability of each outcome. The price of a contract reflects the market's collective assessment of that outcome's likelihood. On Kalshi, 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 dynamically, creating a real-time forecast. The market’s depth and volume indicate the level of confidence traders have in their predictions for the first half winner of the Wake Forest vs California game.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first half of the Wake Forest vs California game, as determined by official game statistics, will dictate the settlement of this market. The resolution will be based on the official score at halftime, and any adjustments or clarifications will be made based on the official game results. Traders should monitor official sources for confirmation of the final result and subsequent market settlement.

Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the Wake Forest or California teams would likely cause significant movement. Changes in weather conditions, particularly if they favor one team’s playing style, could also impact trading activity. Additionally, late-breaking news about team strategies or coaching decisions could shift the market. Public perception and analysis from sports commentators can also contribute to price fluctuations as traders react to new information and adjust their predictions.