TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Elon vs Stanford: 1st Half Winner
kalshi

Who will win Elon vs Stanford 1st Half?

Volume:
$19,998

Stanford

 - Kalshi

Stanford - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 9:15 PM EST

kalshi

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

Stanford

View
100%
Yes 100¢No 0¢
—
N/A
$6,280
N/A
N/A
$5,926
Settled
Yes
kalshi

Elon

0%
Yes 0¢No 100¢
—
N/A
$9,808
N/A
N/A
$8,667
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$3,910
N/A
N/A
$3,188
Settled
No
Total markets: 3

Description

This market tracks which team will lead at halftime in an upcoming college football game between Elon and Stanford. It focuses solely on the first half performance, ignoring the final outcome of the full game. The result depends on who scores more points in the first two quarters of play.

Kalshi

If Stanford wins the 1st half of the Elon vs Stanford college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Elon wins the 1st half of the Elon vs Stanford college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Elon vs Stanford college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Elon vs Stanford first half market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each outcome shifts in real-time as traders buy and sell contracts. Currently, the 24-hour volume is $19,998, and the total volume traded to date is $19,998. This provides a clear view of market activity and sentiment surrounding which team is favored to win the first half.

Generally, prediction market odds tend to reflect information and analysis more quickly than traditional sportsbooks. This is because prediction markets aggregate the wisdom of the crowd, allowing prices to adjust rapidly to new information. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to participate and express their beliefs, potentially leading to more accurate probabilities. However, sportsbook odds can sometimes offer value, especially if they diverge significantly from the prediction market prices.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing potential outcomes. The price of a contract reflects the market's implied probability of that outcome occurring. As more traders buy a contract, its price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and order flow directly influence the price, creating a dynamic and responsive pricing mechanism. This allows traders to express their views and profit from correctly anticipating the event's outcome.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team in the first half of the Elon vs Stanford game will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding contracts on the winning outcome will be paid out according to the final market price at resolution.

Several factors could influence the price of this market. Any news regarding team injuries, changes in player lineups, or shifts in coaching strategies could significantly impact the perceived probabilities. Unexpected weather conditions or even pre-game analysis from sports commentators could also move the market. Furthermore, large trading volume from informed traders could signal new information or a change in sentiment, leading to price fluctuations. Monitoring these signals will be key to understanding how this market evolves.