TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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New York Y vs Toronto: Spread
kalshi

New York Y vs Toronto: Spread

Volume:
$592,386

New York Y wins by over 1.5 runs

 - Kalshi

New York Y wins by over 1.5 runs - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 13, 2026

Closed: Jun 13, 5:49 PM EST

kalshi

Kalshi

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

New York Y wins by over 1.5 runs

View
100%
Yes 100¢No 0¢
100¢
N/A
$387,621
N/A
N/A
$222,289
Settled
Yes
kalshi

Toronto wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$100,419
N/A
N/A
$60,205
Settled
No
kalshi

New York Y wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$49,382
N/A
N/A
$29,045
Settled
No
kalshi

New York Y wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$19,018
N/A
N/A
$15,333
Settled
No
kalshi

Toronto wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$18,172
N/A
N/A
$13,675
Settled
No
kalshi

Toronto wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$17,773
N/A
N/A
$14,558
Settled
No
Total markets: 6

Description

This event focuses on the run differential between the two teams in the June 13, 2026 game. Bettors predict whether one team will win by a margin exceeding specific run thresholds.

Kalshi

Resolution is determined by the final run differential in the New York Y vs Toronto professional baseball game originally scheduled for June 13, 2026 at 3:07 PM EDT. Toronto outcomes resolve to Yes if Toronto wins by more than the specified margin (3.5, 2.5, or 1.5 runs). New York Y outcomes resolve to Yes if New York Y wins by more than the specified margin (1.5, 2.5, or 3.5 runs). The winning team must exceed the stated run differential for the outcome to resolve affirmatively.

Frequently asked questions

On Kalshi, the New York Y vs Toronto spread market dashboard tracks real-time odds and historical price movements for this matchup's point-spread outcome. The interface displays current market pricing, 24-hour trading volume, and order-book depth, allowing traders to monitor how sentiment shifts as game day approaches. This dashboard provides a live window into how prediction market participants are pricing the expected margin of victory, updated continuously throughout the trading session.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set spreads to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds may lead or lag sportsbook lines depending on which venue attracts sharper early information. Comparing the two can reveal where informed traders see value relative to conventional betting markets.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts representing each possible spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the collective probability assigned by active traders; higher prices indicate stronger consensus that an outcome will occur. As new information emerges or trading volume shifts, prices adjust in real time, ensuring the market continuously reflects current expectations about the final margin.

This market resolves around Jun 13, 2026, once the game concludes and the final score is verified against credible public sources. The outcome is determined by the actual point spread between New York Y and Toronto at the final whistle. All open positions settle based on whether the realized margin matches the predicted spread, with payouts distributed to holders of the winning contract.

Key injury announcements, roster changes, and recent team performance trends can significantly shift this market's pricing. Weather conditions, travel schedules, and back-to-back game fatigue may also influence trader expectations about the spread. Media narratives, betting-line movements at major sportsbooks, and sharp money flowing into one side can trigger repricing. As game day approaches, late-breaking news and lineup confirmations typically drive the most volatile price movements in the final hours before tipoff.