TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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New York vs Toronto: 1st Half Winner
kalshi

Who will win New York vs Toronto 1st Half?

Volume:
$5,898

Toronto

 - Kalshi

Toronto - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 13, 2026

Closed: Oct 13, 8:37 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

Toronto

View
100%
Yes 100¢No 0¢
—
N/A
$2,604
N/A
N/A
$1,856
Settled
Yes
kalshi

New York

0%
Yes 0¢No 100¢
—
N/A
$2,885
N/A
N/A
$2,630
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$408
N/A
N/A
$390
Settled
No
Total markets: 3

Description

Two professional basketball teams will face off, and the market determines which team leads at halftime. The outcome hinges solely on the scoring during the first half of the game, ignoring the final result.

Kalshi

This market resolves based on which team leads at the end of the first half of the designated professional basketball game. If the game is postponed but starts within 48 hours of the original time, the market resolves according to the official result. If the game is canceled or does not start within 48 hours, all markets resolve to a fair price. Only points scored in the first half count toward the resolution. The market includes three possible outcomes: New York wins the first half, Toronto wins the first half, or neither team wins (tie).

Frequently asked questions

On Kalshi, the dashboard for the New York vs Toronto game tracks the current odds for which team will win the first half. You’ll find a price history showing how those odds have changed over time, as well as the 24-hour trading volume, which is currently $5,898. Total volume for this market is $5,898. The dashboard provides a real-time view of where traders are placing their bets, giving insight into the perceived probability of each outcome.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks often set initial lines to balance action, while this market’s prices are driven purely by supply and demand from traders. If a significant number of people believe one team has a higher chance of winning the first half than sportsbooks suggest, the odds on Kalshi will shift accordingly. This can sometimes lead to more accurate predictions than traditional betting outlets, as the market aggregates diverse perspectives.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing their belief in the probability of each outcome. The price of a contract reflects the market’s collective assessment of that outcome’s likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy contracts for a specific team, the price increases, and vice versa. This dynamic pricing mechanism ensures that the odds constantly adjust to incorporate new information and changing sentiment.

This market resolves around Oct 14, 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 New York vs Toronto game will be declared the winner for the purposes of this market. The resolution will be based on official game statistics and results, ensuring a transparent and verifiable outcome. Traders will be able to see the final result reflected in their account balances shortly after the game concludes.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries or changes to the starting lineup for either the New York or Toronto team would likely cause significant movement. Unexpected weather conditions, or even shifts in public perception based on pre-game analysis, could also impact trading activity. Furthermore, large volume trades on Kalshi from informed traders could quickly shift the odds, reflecting new information or strategic positioning.