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$133,388,117

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2,388,728,490

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405,232

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30,526

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2,693

PLATFORM COVERAGE:

5

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Kalshi:

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San Diego vs Philadelphia: Spread
kalshi

San Diego vs Philadelphia: Spread

Volume:
$388,752

Philadelphia wins by over 1.5 runs

 - Kalshi

Philadelphia wins by over 1.5 runs - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 3, 2026

Closed: Jun 2, 9:24 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

Philadelphia wins by over 1.5 runs

View
0%
Yes 0¢No 100¢
100¢
N/A
$253,910
N/A
N/A
$163,318
Settled
No
kalshi

San Diego wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$71,678
N/A
N/A
$49,880
Settled
No
kalshi

Philadelphia wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$28,025
N/A
N/A
$26,225
Settled
No
kalshi

San Diego wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$15,460
N/A
N/A
$14,508
Settled
No
kalshi

Philadelphia wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$10,085
N/A
N/A
$8,929
Settled
No
kalshi

San Diego wins by over 3.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$8,779
N/A
N/A
$6,610
Settled
No
kalshi

Padres wins by over 4.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$814
N/A
N/A
$812
Settled
No
Total markets: 7

Description

A professional baseball game between San Diego and Philadelphia is scheduled for June 2, 2026. This event measures the margin of victory, tracking whether either team wins by various run differentials in the full game.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the San Diego vs Philadelphia spread prediction market on Kalshi. You can monitor the current implied probability of each outcome, view historical price movements, and observe 24-hour trading volume to gauge market sentiment and liquidity. The dashboard updates continuously as traders buy and sell contracts, giving you a live window into how the market is pricing this matchup. This data helps you understand whether the market favors San Diego or Philadelphia and how conviction has shifted over time.

Prediction market odds on Kalshi often differ from traditional sportsbook lines because they reflect real-time trader sentiment rather than bookmaker pricing models. Sportsbooks adjust lines to balance action and manage risk, while prediction markets aggregate beliefs from many independent traders. For the San Diego vs Philadelphia spread, comparing Kalshi odds to major sportsbooks can reveal where the crowd disagrees with professional oddsmakers. Significant gaps may signal value or highlight uncertainty the market is pricing in differently than traditional venues.

On Kalshi, the San Diego vs Philadelphia 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 the price representing the implied probability of that outcome. As new information emerges—injury reports, team form, or betting action—the price adjusts in real time. Kalshi's order book and continuous trading mechanism allow you to enter or exit positions at market or limit prices, making the market responsive to shifting expectations about the final spread.

The San Diego vs Philadelphia: Spread market resolves on Jun 3, 2026. Resolution is determined by the final official spread outcome of the game as recorded by the relevant sports authority. The market will settle based on whether the actual point differential matches the specified spread condition. Until that moment, the contract remains open for trading, and prices will fluctuate as game time approaches and new developments emerge. Check the event details for the exact resolution criteria and any tie-breaker rules.

Key catalysts for the San Diego vs Philadelphia spread include player injuries or roster changes, recent team performance and momentum shifts, weather conditions on game day, and betting action from sharp bettors. Coaching decisions, lineup announcements, and team news released closer to game time can trigger significant price moves. Additionally, if one team is perceived as gaining or losing confidence, or if public betting heavily favors one side, traders may adjust their positions accordingly. Monitor team social media, injury reports, and sports news for developments that could reshape market expectations before the game begins.