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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Texas vs St. Louis: Team Total
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Texas vs St. Louis: Team Total

Volume:
$6,662

Texas over 1.5 runs scored

 - Kalshi

Texas over 1.5 runs scored - Kalshi

1W

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Positive

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Hover marker for details

Vol.

·

Resolved Jun 2, 2026

Closed: Jun 1, 10:29 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

Texas over 1.5 runs scored

View
100%
Yes 100¢No 0¢
100¢
N/A
$11
N/A
N/A
$11
Settled
Yes
kalshi

St. Louis over 3.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$3,395
N/A
N/A
$3,278
Settled
No
kalshi

Texas over 3.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$2,195
N/A
N/A
$2,169
Settled
No
kalshi

Texas over 6.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$511
N/A
N/A
$511
Settled
No
kalshi

St. Louis over 7.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$233
N/A
N/A
$233
Settled
No
kalshi

St. Louis over 1.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$143
N/A
N/A
$142
Settled
No
kalshi

Texas over 4.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$62
N/A
N/A
$60
Settled
No
kalshi

St. Louis over 2.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$32
N/A
N/A
$28
Settled
No
kalshi

Texas over 2.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$20
N/A
N/A
$16
Settled
No
kalshi

Texas over 5.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$15
N/A
N/A
$15
Settled
No
kalshi

St. Louis over 4.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$13
N/A
N/A
$13
Settled
No
kalshi

Texas over 7.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$11
N/A
N/A
$11
Settled
No
kalshi

St. Louis over 5.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$10
N/A
N/A
$10
Settled
No
kalshi

St. Louis over 6.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$10
N/A
N/A
$10
Settled
No
Total markets: 14

Description

A professional baseball game between two teams scheduled for June 1, 2026 at 7:45 PM EDT, with outcomes tracked based on individual run totals scored by each team across the full game.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the Texas vs St. Louis: Team Total event on Kalshi. It displays current market prices, historical price movements, and 24-hour trading volume to help you monitor how prediction market participants are pricing this matchup. The dashboard updates continuously as traders buy and sell shares, giving you a live view of market sentiment and liquidity for this specific team total outcome.

Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader behavior and crowd sentiment rather than bookmaker pricing models. Sportsbooks adjust odds to balance action and manage risk, while prediction markets aggregate distributed beliefs from many participants. For Texas vs St. Louis: Team Total, comparing Kalshi prices to major sportsbooks can reveal whether the crowd is more or less bullish than professional oddsmakers, offering insight into alternative market perspectives.

The Texas vs St. Louis: Team Total market resolves on Jun 2, 2026. Resolution is determined by the official final statistics from the game, specifically whether the designated team's total points, rebounds, or other tracked metric meets or exceeds the specified threshold. Once the game concludes and official data is confirmed, the market settles to either 100 cents (outcome occurred) or 0 cents (outcome did not occur), and traders receive payouts based on their position and entry price.

Key catalysts for Texas vs St. Louis: Team Total include player injuries or roster changes, recent team form and scoring trends, head-to-head matchup history, and any lineup adjustments announced before game time. Weather conditions, home-court advantage, and rest days can also influence scoring output. Real-time game flow—early leads, foul trouble, or momentum shifts—will drive price movement during the contest. Breaking news about player availability or coaching decisions often triggers sharp repricing as traders update their probability estimates.