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Minnesota vs New York Y: Spread
kalshi

What is the run differential in Minnesota vs New York Yankees on July 3, 2026?

Volume:
$1,029,412

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 Jul 4, 2026

Closed: Jul 3, 10:44 PM EST

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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
$655,752
N/A
N/A
$374,507
Settled
Yes
kalshi

New York Y wins by over 2.5 runs

100%
Yes 100¢No 0¢
100¢
N/A
$239,856
N/A
N/A
$113,909
Settled
Yes
kalshi

New York Y wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$69,303
N/A
N/A
$51,120
Settled
No
kalshi

Minnesota wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$39,718
N/A
N/A
$32,908
Settled
No
kalshi

Minnesota wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$10,626
N/A
N/A
$6,581
Settled
No
kalshi

Minnesota wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$10,389
N/A
N/A
$8,071
Settled
No
kalshi

Yankees wins by over 4.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$3,768
N/A
N/A
$3,235
Settled
No
Total markets: 7

Description

This baseball market tracks the run differential between Minnesota and New York Yankees in their July 3, 2026 game. The market captures various margin-of-victory scenarios for both teams throughout the full game.

Kalshi

The market resolves based on the margin of victory in the complete game. New York Yankees outcomes resolve to Yes if New York wins by more than 3.5, 2.5, or 1.5 runs respectively. Minnesota outcomes resolve to Yes if Minnesota wins by more than 1.5, 2.5, or 3.5 runs respectively. Each margin threshold is evaluated independently based on the final game score.

Frequently asked questions

On Kalshi, the Minnesota vs New York spread market dashboard tracks real-time odds and historical price movements for this matchup's point-spread contract. 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 market lets participants speculate on whether Minnesota will cover the spread against New York, with live updates reflecting new trades and changing expectations throughout the betting window.

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 manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds may lead or lag sportsbook spreads depending on which venue attracts sharper early information. Comparing the two can reveal where professional traders and casual bettors disagree on Minnesota's likely performance relative to the posted line.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts reflecting their belief in Minnesota covering the spread. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from 0 to 100, with higher values indicating greater confidence in a Minnesota cover. As new information emerges—injury reports, weather updates, or betting trends—traders adjust their positions, moving the price up or down to reflect the latest consensus on the likely outcome.

This market resolves around Jul 4, 2026, once the Minnesota versus New York game concludes and the final spread outcome is verifiable from credible public reporting. The resolution hinges on whether Minnesota's final margin of victory or defeat matches or exceeds the specified spread threshold. Traders holding contracts aligned with the actual result receive their payout, while those on the wrong side of the spread realize a loss. Resolution is typically confirmed within hours of game completion.

Key catalysts for this market include injury announcements, lineup changes, and weather forecasts that affect playing conditions. Betting action from sharp money or large syndicates can shift prices sharply as new information reaches traders. Team performance trends, head-to-head historical matchups, and public sentiment shifts also influence pricing. Close to game time, late-breaking news—such as roster adjustments or unexpected coaching decisions—often triggers significant repricing as traders reassess Minnesota's ability to cover the spread.