TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Toronto vs Connecticut: First Half Winner
kalshi

What is the result of Toronto vs Connecticut?

Volume:
$90,982

Connecticut wins 1st half

 - Kalshi

Connecticut wins 1st half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 25, 2026

Closed: Sep 24, 8:40 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

Connecticut wins 1st half

View
100%
Yes 100¢No 0¢
100¢
N/A
$33,208
N/A
N/A
$17,201
Settled
Yes
kalshi

Toronto wins 1st half

0%
Yes 0¢No 100¢
100¢
N/A
$49,148
N/A
N/A
$37,579
Settled
No
kalshi

Tie

0%
5%
Yes 0¢No 100¢
100¢
N/A
$8,626
N/A
N/A
$5,539
Settled
No
Total markets: 3

Description

This market assesses the first half outcome of a women's professional basketball game between Toronto and Connecticut. The result hinges on which team scores the most points during the first half of regulation time, with overtime points excluded. A tied half results in a specific resolution for all outcomes.

Kalshi

The market identifies the winner of the first half of regulation (excluding overtime) in the specified women's Pro Basketball game. Only points from that half count, and equal scores result in all team outcomes resolving to No, with the Tie outcome resolving to Yes. If the game is postponed or delayed within two days, the market stays open; cancellations or reschedules beyond two days result in a fair price resolution.

Frequently asked questions

On Kalshi, the dashboard for the college basketball first half market tracks the current price of each outcome, displaying the implied probabilities as determined by traders. It also provides a price history chart, allowing you to visualize how the odds have shifted over time. Furthermore, the dashboard shows the 24-hour trading volume, currently at $89,635, and the total overall volume traded in this market, which stands at $90,982. This information helps you understand market sentiment and activity surrounding the first half winner of the Toronto versus Connecticut game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. As a result, you might find that the implied probability of an outcome in this market diverges from what sportsbooks are offering, potentially revealing different perspectives on the likely result of the first half. It’s important to compare both to inform your decisions.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. As more traders buy a contract, its price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity directly influence the price movements, creating a dynamic environment where prices adjust rapidly to new information and changing sentiment regarding the first half winner between Toronto and Connecticut.

This market resolves around Sep 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the first half result of the Toronto versus Connecticut college basketball game will be used to determine the winning outcome. The market will settle to 100 for the winning team in the first half and 0 for the losing team. Traders holding contracts on the winning side will receive a payout, while those holding contracts on the losing side will forfeit their investment.

Several factors could influence trading activity and shift the odds in this market. Any news regarding player injuries or changes to the starting lineups for either Toronto or Connecticut would likely have a significant impact. Game-day reports about team morale or coaching strategies could also move the market. Furthermore, early performance in the first few minutes of the game, such as a quick scoring run by one team, could trigger a rapid adjustment in prices. Overall betting trends and public perception of each team's chances will also play a role in shaping the market’s direction.