TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Colorado vs San Diego FC: First Half BTTS
kalshi

Will both Colorado and San Diego FC score in the first half?

Volume:
$1,117

1st Half: Both Teams To Score

 - Kalshi

1st Half: Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 23, 2026

Closed: Jul 22, 10:54 PM EST

kalshi

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

1st Half: Both Teams To Score

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,117
N/A
N/A
$864
Settled
No
Total markets: 1

Description

This market focuses on whether both Colorado and San Diego FC will each score at least one goal during the first half of their MLS match on July 22, 2026. Only goals scored before halftime are counted, including own goals credited to the scoring team.

Kalshi

If Colorado and San Diego FC both score a goal in the 1st Half of the Colorado vs San Diego FC MLS match originally scheduled for Jul 22, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the Colorado vs San Diego FC first-half BTTS market dashboard displays real-time odds and price movements for whether both teams will score during the opening 45 minutes of their match. The interface tracks current market probability, historical price charts, and 24-hour trading volume of $1,097 to help traders monitor sentiment shifts. This market aggregates all buy and sell orders placed by participants, reflecting the collective forecast of whether each side will find the net in the first half. Updated continuously during the trading window, the dashboard enables quick decision-making based on live market data and recent activity.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one are driven by trader consensus without a built-in house edge. Prediction markets tend to incorporate real-time information more efficiently, especially as new data emerges closer to kickoff. However, sportsbooks may offer tighter spreads and faster liquidity in some cases. Comparing the two can reveal valuable insights: if this market prices BTTS significantly higher or lower than major sportsbooks, it may signal where informed traders see edge or where casual action is skewing one venue.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for YES (both teams score in the first half) or NO outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform matches orders in real time, and the midpoint of the spread reflects the current market consensus. Prices range from 0 to 100 cents per contract, with each cent representing a 1% probability increment. As new information surfaces—team lineups, injury reports, or betting patterns—traders adjust their orders, causing the price to shift. Higher prices indicate stronger conviction that both sides will score; lower prices suggest skepticism. Volume and order-book depth on Kalshi determine how easily traders can enter or exit positions at favorable rates.

This market resolves around Jul 23, 2026, once the Colorado vs San Diego FC first-half period concludes and the result is verifiable from credible public sources. The outcome hinges on a single criterion: whether both teams score at least one goal each during the first 45 minutes of regulation play. If both teams find the net before halftime, the YES outcome wins; if either team fails to score, NO prevails. Resolution typically occurs within hours of the final whistle, after official match records are confirmed. Traders should monitor the live match and official league reporting to anticipate the likely outcome as the market approaches its end date.

Several catalysts can shift odds significantly before the match begins. Team news—such as injuries to key forwards or defensive players—often triggers sharp repricing, as do lineup announcements closer to kickoff. Historical head-to-head scoring patterns and recent form in first-half goals can influence trader positioning. Weather conditions on match day may also matter; rain or wind can suppress scoring. As the match approaches, early betting action at sportsbooks sometimes leaks into prediction markets, creating momentum in one direction. Once play begins, live goals or near-misses will drive rapid repricing. Traders monitoring social media, team press conferences, and injury reports in the hours before kickoff often gain an edge by reacting faster than the broader market to breaking news.