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2,388,728,490

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$1,434,646,834

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2,689

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St. Louis vs New York M: First 5 Spread
kalshi

St. Louis vs New York M: First 5 Spread

Volume:
$24,290

St. Louis -1.5 first 5 innings

 - Kalshi

St. Louis -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 11, 2026

Closed: Jun 11, 2:54 PM EST

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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

St. Louis -1.5 first 5 innings

View
0%
Yes 0¢No 100¢
100¢
N/A
$11,424
N/A
N/A
$8,712
Settled
No
kalshi

New York M -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$6,149
N/A
N/A
$4,845
Settled
No
kalshi

New York M -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$3,693
N/A
N/A
$2,855
Settled
No
kalshi

St. Louis -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$3,024
N/A
N/A
$2,841
Settled
No
Total markets: 4

Description

A professional baseball matchup between two teams tracks whether one team achieves a lead of varying margins over the other during the first five innings of play on June 11, 2026.

Kalshi

Resolution is determined by the run differential at the end of five complete innings in the St. Louis vs New York Mets game originally scheduled for June 11, 2026 at 1:10 PM EDT. Markets are structured around specific spreads: New York Mets -2.5 and -1.5 resolve to Yes if the Mets lead by more than those respective margins, while St. Louis -1.5 and -2.5 resolve to Yes if St. Louis leads by more than those respective margins. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes, provided resolution occurs within two days of the original scheduled date.

Frequently asked questions

The St. Louis vs New York M: First 5 Spread dashboard on Kalshi tracks real-time odds and historical price movements for this matchup's opening-period spread outcome. You can monitor current implied probability, 24-hour trading volume, and cumulative position interest as traders update their positions. The dashboard displays how the market has repriced the spread from listing through the present, giving you a live window into collective prediction sentiment and liquidity depth for this specific first-half betting line.

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 protect margins, while prediction markets aggregate dispersed information from many independent participants. For the St. Louis vs New York M: First 5 Spread, comparing Kalshi implied probabilities to major sportsbook opening lines can reveal whether the market is pricing this spread tighter or looser than the books, signaling where informed traders see edge.

On Kalshi, the St. Louis vs New York M: First 5 Spread is priced as a binary contract reflecting whether the spread outcome will occur. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy or sell shares at prices between 0 and 100 cents, with each cent representing 1% implied probability. The contract price updates continuously as new trades execute, aggregating the collective belief of all participants about the likelihood of the specified spread result. Liquidity and volume on Kalshi determine how quickly prices respond to new information about team form, injuries, or betting action.

The St. Louis vs New York M: First 5 Spread market resolves on Jun 11, 2026. Resolution is determined by the actual first-quarter or first-half spread result between St. Louis and New York, depending on the specific contract definition. The market will settle once the official game data is confirmed and the spread outcome is verified against the stated resolution criteria.

Key catalysts for St. Louis vs New York M: First 5 Spread pricing include injury announcements to star players, lineup changes, recent team performance trends, and public betting action reported by major sportsbooks. Coaching adjustments, weather conditions if relevant, and late-breaking roster news can shift trader expectations about opening-period offensive or defensive efficiency. Media narratives around matchup dynamics, historical head-to-head trends, and sharp-money movement on related markets may also influence how traders reprice this specific spread outcome leading up to tipoff.