TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

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Kalshi:

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San Diego vs Texas: First 5 Spread
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San Diego vs Texas: First 5 Spread

Volume:
$10,489

San Diego -1.5 first 5 innings

 - Kalshi

San Diego -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 20, 2026

Closed: Jun 20, 5:34 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

San Diego -1.5 first 5 innings

View
0%
Yes 0¢No 100¢
100¢
N/A
$4,413
N/A
N/A
$3,384
Settled
No
kalshi

Texas -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$3,538
N/A
N/A
$3,116
Settled
No
kalshi

Texas -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,320
N/A
N/A
$1,320
Settled
No
kalshi

San Diego -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,218
N/A
N/A
$968
Settled
No
Total markets: 4

Description

Bettors predict whether Texas or San Diego will win by specific run margins during the first five innings of their June 20, 2026 baseball game. Different spreads (1.5 and 2.5 runs) create separate betting outcomes for each team.

Kalshi

This event encompasses spread-based outcomes for the first five innings of the San Diego vs Texas professional baseball game scheduled for June 20, 2026 at 4:05 PM EDT. Resolution depends on the run differential at the end of the fifth inning. Texas outcomes resolve to Yes if Texas wins by more than the specified spread (either 2.5 or 1.5 runs), while San Diego outcomes resolve to Yes if San Diego wins by more than the specified spread (either 1.5 or 2.5 runs). If the run differential does not exceed the required spread for any outcome, that outcome resolves to No. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days.

Frequently asked questions

On Kalshi, the San Diego vs Texas first 5 spread market dashboard displays real-time odds and price movements for this matchup's opening quarter spread. The interface tracks current market pricing, historical price trends, and 24-hour trading volume to help you monitor how traders are positioning ahead of the game. You can view the cumulative liquidity and see how sentiment has shifted as new information emerges. This dashboard gives you a live snapshot of what the prediction market community expects for the first 5 minutes of play between these two teams.

Prediction market odds and 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 beliefs from traders risking real capital on outcomes. This market's odds may lead or lag traditional sportsbook spreads depending on which venue has faster information flow or deeper liquidity. Comparing the two can reveal where consensus is strongest and where outlier views persist, making both useful for understanding true market expectations.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The spread between bid and ask prices reflects the current consensus on how many points San Diego will be ahead or behind Texas after the first 5 minutes. As new trades execute, the price adjusts in real time. Deeper liquidity typically narrows the spread, while thinner trading can widen it, so monitoring volume helps you understand pricing confidence.

This market resolves around Jun 20, 2026, once the San Diego vs Texas game concludes and the first 5 spread is verified against credible public sources. The outcome is determined by the actual point differential at the end of the first quarter, compared to the spread set at market inception. Once the game result is confirmed and publicly reported, the market will settle and payouts will be distributed to holders of the winning outcome.

Key catalysts include injury reports or roster changes announced before game time, which can shift expectations for early-game performance. Weather conditions, travel delays, or team motivation shifts may also influence opening-quarter dynamics. Breaking news about player availability or coaching adjustments can trigger sharp repricing. Additionally, live betting action and early-game momentum once the game begins will drive final price moves as traders react to actual play. Monitor team news and pre-game commentary closely for edge.