TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 10, 5:54 PM EST
Kalshi
This market tracks the outcome of an NBA Summer League game between the Milwaukee Bucks and Phoenix Suns scheduled for July 13, 2026. The aggregated consensus across Kalshi and Polymarket shows a 10.0% probability for the leading outcome. Resolution will be determined by official NBA Summer League records published on nba.com/summer-league. Watch for the completion of the July 13, 2026 matchup, as this date marks the event window during which the game is expected to be played and settled.
In the upcoming NBA Summer League game, scheduled for July 13 at 10:00PM ET: If the Milwaukee Bucks win, the market will resolve to "Milwaukee Bucks". If the Phoenix Suns win, the market will resolve to "Phoenix Suns". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50. The result will be determined based on the final score including any overtime periods.
The market resolves based on the final result of the Milwaukee vs Miami Pro Basketball Summer League game originally scheduled for July 10, 2026. Resolution occurs when either Miami or Milwaukee achieves victory in the contest.
Both platforms host the same underlying event, but price differences emerge due to distinct user bases, trading mechanics, and liquidity pools. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Kalshi operates under CFTC regulation with binary contract mechanics, while Polymarket uses an AMM model that can create different equilibrium prices for identical outcomes. Arbitrage opportunities may persist if one platform attracts more informed flow or if transaction costs make cross-platform trading uneconomical. Monitoring both venues helps you identify mispricings and understand how regulatory structure and market design influence trader behavior.
Key catalysts include roster changes, injury announcements, and preseason performance by either team leading up to Summer League play. Trades, free-agent signings, or unexpected player absences can shift perceived strength significantly. Public statements from coaches or front offices about player development priorities may also influence trader positioning. As the game date approaches, line movement from sportsbooks and updated injury reports typically drive repricing on prediction markets. Real-time updates during Summer League games across the league can reshape expectations for individual matchups.