TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Arizona vs St. Louis: First 5 Spread
kalshi

Arizona vs St. Louis: First 5 Spread

Volume:
$1,422

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 26, 2026

Closed: Jun 25, 9:42 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

St. Louis -1.5 first 5 innings

View
35%
Yes 35¢No 65¢
100¢
N/A
$1,112
N/A
N/A
$1,074
Settled
No
kalshi

Arizona -1.5 first 5 innings

27%
Yes 27¢No 73¢
100¢
N/A
$238
N/A
N/A
$229
Settled
No
kalshi

St. Louis -2.5 first 5 innings

24%
Yes 24¢No 76¢
100¢
N/A
$9
N/A
N/A
$9
Settled
No
kalshi

Arizona -2.5 first 5 innings

17%
Yes 17¢No 83¢
100¢
N/A
$64
N/A
N/A
$63
Settled
No
Total markets: 4

Description

This market predicts the run differential between the teams specifically during the first five innings of the June 25, 2026 game, with outcomes covering St. Louis leads and Arizona leads by various margins.

Kalshi

Resolution is based on the run differential at the end of the first five innings of the Arizona vs St. Louis game originally scheduled for June 25, 2026 at 7:45 PM EDT. Outcomes are divided between St. Louis victory margins and Arizona victory margins, each with specific run thresholds for the five-inning period. If the game is postponed or delayed, the market remains open and resolves after the rescheduled game concludes within two days. The official score at the end of the fifth inning determines the winning margin.

Frequently asked questions

On Kalshi, the Arizona-St. Louis first 5 spread market dashboard displays real-time odds and price movements for how the spread will look after the first five minutes of the game. The interface tracks the current market price, historical price data, and 24-hour trading volume to help traders monitor sentiment and liquidity. This dashboard gives you a live snapshot of how traders are positioning themselves on whether Arizona or St. Louis will be favored in that early window, updated continuously as new trades execute on the platform.

Prediction market odds on this market reflect real-time trader consensus rather than traditional sportsbook pricing models. While sportsbooks use statistical analysis and betting limits to set lines, prediction markets aggregate the collective judgment of many participants who have financial incentive to forecast accurately. This market's odds may diverge from sportsbook spreads because traders incorporate different information sources, risk tolerances, and time horizons. Comparing the two can reveal where public perception differs from professional oddsmaking, though both aim to reflect the true probability of the outcome.

On Kalshi, this market is priced through an order-book mechanism where buyers and sellers submit bids and asks for contracts tied to the first 5 spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the last executed trade, and new orders move the market as traders compete to buy low or sell high. Liquidity and trading volume directly influence how tight the bid-ask spread is, meaning active markets show tighter pricing while thinner ones may have wider gaps between buy and sell prices.

This market resolves around Jun 26, 2026, once the game has been played and the first 5 spread is verifiable from credible public sources. The outcome is determined by the actual point spread between Arizona and St. Louis after exactly five minutes of game time. Once the event concludes and the data is confirmed, the market settles based on which team was favored at that specific moment, concluding all open positions.

Key catalysts for this market include injury announcements, lineup changes, or late-breaking roster news that affects either team's early-game performance potential. Betting action and sharp money flowing into one side can shift odds significantly as traders react to new information. Game-day conditions, referee assignments, and pregame momentum from recent team performance may also influence how traders price the first 5 spread. Media narratives and expert commentary released close to tipoff can trigger rapid repricing as the market absorbs fresh perspectives on early-game dynamics.