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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Davidson vs San Diego: 1st Half Winner
kalshi

What is the result of Davidson vs San Diego?

Volume:
$1,608

San Diego wins 1st Half

 - Kalshi

San Diego wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 5, 2026

Closed: Oct 4, 10:53 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

San Diego wins 1st Half

View
100%
Yes 100¢No 0¢
—
N/A
$838
N/A
N/A
$838
Settled
Yes
kalshi

Davidson wins 1st Half

0%
Yes 0¢No 100¢
—
N/A
$460
N/A
N/A
$460
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$310
N/A
N/A
$310
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Davidson and San Diego. It focuses solely on which team leads at halftime, ignoring the final game result. Bettors can speculate on whether Davidson, San Diego, or neither team will be ahead after the first half.

Kalshi

If San Diego wins the 1st half of the Davidson vs San Diego college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Davidson wins the 1st half of the Davidson vs San Diego college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Davidson vs San Diego college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Davidson vs San Diego 1st half market displays the current price of each outcome—which team will win the first half—along with a price history chart. You can also view the 24-hour trading volume, currently at $1,608, and the total overall volume traded in this market, which is $1,608. This allows traders to assess market activity and how opinions are shifting as they consider potential outcomes for this college basketball contest. The dashboard provides a real-time view of how the crowd is predicting the first-half winner.

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’s prices are driven purely by individuals trading based on their own analysis and information. If a significant number of people believe one team is more likely to win the first half than sportsbooks suggest, the price of that outcome will rise in this market. Discrepancies can arise due to differing information sources, biases, or simply varying interpretations of the teams’ strengths and weaknesses. It’s common to see this market adjust as new information becomes available.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing each possible outcome—either Davidson winning the first half or San Diego winning the first half. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the prices adjust dynamically, providing a real-time assessment of the perceived likelihood of each team winning the first half. The goal is to create a market where prices accurately reflect the collective intelligence of those trading.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the Davidson vs San Diego basketball game. Official game results from a trusted sports data provider will determine the winning team for the first half, and the corresponding contracts on Kalshi will be settled accordingly. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not.

Several factors could influence the price movement in this market before resolution. Any news regarding injuries to key players on either the Davidson or San Diego teams would likely have a significant impact. Changes in team lineups, coaching strategies, or even weather conditions (if affecting travel) could also shift perceptions. Furthermore, early performance in the game itself, even before the half ends, could influence trading activity. Public sentiment and analysis from sports commentators could also play a role, as traders react to new information and adjust their predictions accordingly.