TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Sports
New York vs Connecticut: Spread
kalshi

New York vs Connecticut: Spread

Volume:
$319,658

New York wins by over 10.5 points

 - Kalshi

New York wins by over 10.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 9, 2026

Closed: Jun 8, 9:40 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

New York wins by over 10.5 points

View
0%
Yes 0¢No 100¢
100¢
N/A
$139,351
N/A
N/A
$54,075
Settled
No
kalshi

New York wins by over 14.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$102,910
N/A
N/A
$48,638
Settled
No
kalshi

New York wins by over 22.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$40,641
N/A
N/A
$15,071
Settled
No
kalshi

New York wins by over 18.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$24,351
N/A
N/A
$10,265
Settled
No
kalshi

Connecticut wins by over 1.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$7,182
N/A
N/A
$3,791
Settled
No
kalshi

Connecticut wins by over 5.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$3,127
N/A
N/A
$2,754
Settled
No
kalshi

Connecticut wins by over 9.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$2,095
N/A
N/A
$1,962
Settled
No
Total markets: 7

Description

A women's professional basketball game scheduled for June 8, 2026 between two teams will be played, and the outcome will be determined by the final margin of victory. The market evaluates various winning margin thresholds for both teams to determine resolution.

Frequently asked questions

The New York vs Connecticut: Spread dashboard on Kalshi tracks real-time odds and trading activity for this sports spread prediction market. It displays the current probability that New York wins by over 18.5 points, along with historical price movements and 24-hour trading volume. The dashboard updates continuously as traders buy and sell shares, reflecting the latest consensus forecast. You can monitor how odds shift as game day approaches, review past price trends, and gauge market conviction through volume metrics. This single-venue view gives you a complete snapshot of how Kalshi participants are pricing this specific spread outcome.

Prediction market odds on Kalshi often diverge from traditional sportsbook spreads because they reflect real-money trader conviction rather than bookmaker risk management. Sportsbooks adjust lines to balance action and lock in profit margins, while prediction markets aggregate decentralized participant beliefs. For the New York vs Connecticut spread, Kalshi odds may lead or lag sportsbook lines depending on which venue attracts sharper action first. Comparing the two can reveal whether professional bettors and prediction market traders agree on the likely outcome. Prediction markets typically offer tighter spreads and higher liquidity when significant trading volume develops.

The New York vs Connecticut: Spread market resolves on Jun 9, 2026. Resolution is determined by the final official score of the game and whether New York's margin of victory exceeds 18.5 points. The outcome is binary: if New York wins by 19 or more points, the contract resolves to yes; if the margin is 18.5 points or fewer, or if Connecticut wins, it resolves to no. Official league records serve as the authoritative source for settlement. Traders should monitor team news, injuries, and lineup changes leading up to game time, as these factors can shift market odds significantly.

Key injury announcements, roster changes, or player suspensions for either team can trigger sharp price moves on Kalshi. Unexpected coaching decisions, weather conditions affecting play style, or recent team performance trends also influence trader sentiment. Public betting trends and sharp action from professional bettors often precede significant odds shifts. Media narratives and expert predictions may sway casual traders, while historical head-to-head matchups and statistical models guide sophisticated participants. As game day approaches, final injury reports and lineup confirmations typically drive the most volatile price movements. Trading volume often spikes in the hours before kickoff as traders lock in positions.