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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Miami vs San Antonio
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Who will win Miami vs San Antonio?

Volume:
$132,200

Miami

 - Kalshi

Miami - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 3, 10:00 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

Miami

View
100%
Yes 100¢No 0¢
100¢
N/A
$56,949
N/A
N/A
$38,509
Settled
Yes
kalshi

San Antonio

0%
Yes 0¢No 100¢
100¢
N/A
$75,252
N/A
N/A
$48,996
Settled
No
Total markets: 2

Description

The Miami and San Antonio teams compete in a Pro Basketball Summer League game on July 3, 2026. Summer League games are exhibition matches where NBA teams develop young talent and evaluate roster options before the regular season.

Kalshi

Resolution is determined by the outcome of the Pro Basketball Summer League game between Miami and San Antonio scheduled for July 3, 2026. The market resolves to Yes if San Antonio wins, or Yes if Miami wins. The game must be played as originally scheduled on the specified date.

Frequently asked questions

On Kalshi, the dashboard for the Miami vs San Antonio matchup tracks real-time odds and historical price movements as traders buy and sell shares tied to the game's outcome. You can monitor current implied probabilities, view 24-hour trading volume, and observe how market sentiment shifts leading up to tipoff. The interface displays all active positions and completed trades, giving you a transparent view of how the prediction market is pricing this matchup at any moment. This live data helps traders identify opportunities and assess consensus expectations around the game.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and operate under different constraints. Sportsbooks set lines to balance action and manage risk, while prediction markets reflect pure trader sentiment and information flow. This market aggregates the collective judgment of many independent traders without the vig or margin built into traditional sports betting. Over time, prediction markets have shown accuracy in pricing major sports events, though real-time differences can persist due to varying liquidity, trader composition, and information access across venues.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks for shares representing each possible outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the marginal probability traders assign to that outcome at any given moment. As new information emerges—injury reports, lineup changes, or betting action—traders adjust their orders, and prices move accordingly. This continuous price discovery process ensures the market remains responsive to shifting expectations about the game.

This market resolves around Jul 4, 2026, once the game concludes and the final result is verified against credible public sources. The outcome is determined by the official score and result of the matchup. Until that point, traders can buy and sell shares as odds fluctuate with breaking news, team updates, and market sentiment. Resolution is automatic once the event is confirmed, and all positions settle according to the verified outcome.

Key catalysts for this market include injury announcements, roster changes, and player availability updates from either team. Coaching decisions, recent team performance, and head-to-head matchup history can also shift trader expectations. National media coverage and expert analysis may influence sentiment, particularly if new tactical insights or statistical trends emerge. Trading volume and momentum from early action can create self-reinforcing price moves. Game-day factors like weather, travel, or last-minute lineup adjustments often trigger final repricing as tipoff approaches.