TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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San Diego vs Dayton: 1st Half Winner
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What is the result of San Diego vs Dayton?

Volume:
$3,668

Dayton

 - Kalshi

Dayton - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 4:08 PM 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

Dayton

View
100%
Yes 100¢No 0¢
—
N/A
$2,163
N/A
N/A
$2,163
Settled
Yes
kalshi

San Diego

0%
Yes 0¢No 100¢
—
N/A
$1,103
N/A
N/A
$1,103
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$403
N/A
N/A
$403
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first half of a college football game between San Diego and Dayton. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends entirely on who holds the points advantage at that specific midpoint.

Kalshi

If Dayton wins the 1st half of the San Diego vs Dayton college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If San Diego wins the 1st half of the San Diego vs Dayton college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 1st half of the San Diego vs Dayton college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the San Diego vs Dayton 1st half market tracks the current price of contracts representing each possible outcome – which team will win the first half. You’ll find a price history chart showing how the price has fluctuated over time, providing insight into trader sentiment. The dashboard also displays the 24-hour trading volume, currently at $3,668, and the total overall volume traded in this market, which is $3,668. This allows you to gauge the level of activity and interest in this particular event.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which are often set by experts. Sportsbooks establish odds to balance betting action and ensure profitability, while this market allows anyone to trade based on their own analysis. If a significant number of traders believe a sportsbook is mispricing a team’s chances, they can buy or sell contracts here, driving the price towards what they perceive as the true probability. This dynamic can lead to prediction market prices being more accurate, especially as the event approaches.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. Each contract represents a 100% payout if the corresponding outcome occurs. The price of a contract reflects the market’s collective probability of that outcome happening. For example, a contract trading at 60 means you’d pay 60 to receive 100 if that team wins the first half. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price fluctuates based on supply and demand; more buyers push the price up, while more sellers drive it down, creating a real-time assessment of probabilities.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first half of the San Diego vs Dayton game will be declared the winner of this market. The official score at halftime, as reported by official game sources, will determine the winning outcome. No further information regarding settlement details will be provided beyond this verification process.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the San Diego or Dayton teams would likely cause significant movement. Changes in team performance during recent games, coaching strategies, or even weather conditions could also impact trader sentiment. Unexpected announcements about player availability or starting lineups right before the game are also likely to cause volatility. Public perception and any shifts in betting patterns observed elsewhere could also contribute to price fluctuations in this market.