TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 11, 7:39 PM EST
Kalshi
This event group covers the NBA Summer League matchup between the Philadelphia 76ers and Indiana Pacers scheduled for July 11, 2026 at 5:30 PM ET. Polymarket offers a binary winner-take-all market, while Kalshi provides spread-based markets across multiple point differential thresholds.
In the upcoming NBA Summer League game, scheduled for July 11 at 5:30PM ET: If the Philadelphia 76ers win, the market will resolve to "Philadelphia 76ers". If the Indiana Pacers win, the market will resolve to "Indiana Pacers". 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.
This event contains multiple spread markets tracking the final margin of victory in the Indiana vs Philadelphia game. Markets are divided into two categories: Philadelphia victory spreads (winning by more than 15.5, 12.5, 9.5, 6.5, 3.5, or 1.5 points) and Indiana victory spreads (winning by more than 1.5, 3.5, or 6.5 points). Each market independently resolves to Yes if the specified team wins by more than the stated margin. The resolution is based on the official final score of the Pro Basketball Summer League game originally scheduled for July 11, 2026. Markets resolve to No if the margin equals or falls short of the threshold, or if the opposing team wins. These markets allow bettors to express directional predictions about which team will win and by how much.
Prediction markets like Polymarket and Kalshi operate on crowd-sourced pricing: traders buy and sell shares tied to outcomes, and the market price reflects the collective belief in that outcome's probability. Sportsbooks, by contrast, set odds to balance their book and lock in profit margins. Prediction market prices often converge toward true probability over time because traders have direct financial incentive to correct mispricing. For this market, comparing prediction odds to sportsbook spreads can reveal where sharp money disagrees with the public, though prediction markets typically show less vig and faster adjustment to breaking news.
Key catalysts include injury reports, roster announcements, and recent Summer League performance from both squads. If either team rests star players or confirms lineup changes, odds could shift sharply. Public betting trends and sharp money flowing into one side can also trigger repricing as traders react to new information. Media narratives—such as a breakout rookie performance or coaching adjustments—may influence sentiment. Weather, venue factors, and late-breaking news closer to tip-off typically drive the final moves. Monitoring team social media, beat reporters, and live odds across both platforms helps you stay ahead of market-moving developments.