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NBA Summer League: Golden State Warriors vs. Oklahoma City Thunder
polymarket
kalshi

Who will win the Warriors vs. Thunder NBA Summer League game?

Volume:
$810,777

Golden State

 - Kalshi

Golden State - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 13, 2026

Closed: Jul 12, 7:54 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Golden State

View
100%
Yes 100¢No 0¢
100¢
N/A
$318,443
N/A
N/A
$239,763
Settled
Yes
polymarket

NBA Summer League: Golden State Warriors vs. Oklahoma City Thunder

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$26,418
N/A
N/A
N/A
Settled
Yes
kalshi

Oklahoma City

View
0%
Yes 0¢No 100¢
100¢
N/A
$465,917
N/A
N/A
$347,407
Settled
No
Total markets: 3

Intro

This market tracks the outcome of the NBA Summer League game between the Golden State Warriors and Oklahoma City Thunder scheduled for July 12, 2026. Across Polymarket and Kalshi, the consensus probability for an Oklahoma City victory stands at 99.5%. The market resolves based on the final score of the game as reported by official NBA Summer League records, including any overtime periods. Watch for the completion of the matchup on July 12, 2026 at 6:00 PM ET, after which the final score will determine the resolution.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's binary Yes/Yes resolution for both outcomes conflicts with Polymarket's categorical winner-based resolution. This is a structural scope mismatch rather than a data integrity failure, as the underlying event (game outcome) is identical.Hero tip: Polymarket's categorical resolution (winner name) is the industry standard for sports matchups and should be treated as authoritative. Kalshi's dual-Yes structure suggests a template error. Confirm Kalshi's actual settlement mechanism with the platform before committing capital, as the market may be unresolvable as written or may auto-correct to a binary Yes/No structure at settlement.

Critical divergence points:

  • Kalshi: Binary market with both outcomes (Warriors win and Thunder win) resolving to Yes. This creates logical impossibility—a market cannot resolve Yes for mutually exclusive outcomes. Quote: If Golden State wins resolve Yes; If Oklahoma City wins resolve Yes.
  • Polymarket: Categorical resolution: market resolves to winning team name (Golden State Warriors or Oklahoma City Thunder). Includes explicit edge case handling: postponement keeps market open; cancellation with no makeup resolves 50-50. Quote: Resolves to team name based on final score including overtime.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

In the upcoming NBA Summer League game, scheduled for July 12 at 6:00PM ET: If the Golden State Warriors win, the market will resolve to "Golden State Warriors". If the Oklahoma City Thunder win, the market will resolve to "Oklahoma City Thunder". 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.

Kalshi

The market resolves based on the outcome of the Oklahoma City vs Golden State Pro Basketball Summer League game scheduled for July 12, 2026. Resolution occurs when either Golden State or Oklahoma City wins the game.

Frequently asked questions

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets let traders directly set prices through supply and demand. This market reflects pure trader conviction without a built-in house edge, often making prediction odds more responsive to new information. However, sportsbooks may move faster on sharp action or injury news, and their odds include liquidity premiums. Comparing both sources helps identify where consensus diverges and which side carries hidden value.

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. Each platform attracts different trader demographics, regulatory frameworks, and liquidity pools. Kalshi operates under CFTC oversight with stricter contract design, while Polymarket uses an AMM model that can create different price discovery dynamics. Volume concentration, fee structures, and user geography also influence how quickly each platform incorporates new information. Temporary arbitrage opportunities emerge when one platform lags behind the other, though active traders typically exploit these gaps quickly. Monitoring both prices reveals which platform's traders are more confident in a particular outcome.

Key catalysts include roster announcements, injury reports, and player availability updates from both franchises. Preseason performance, coaching adjustments, and lineup changes can shift trader sentiment significantly. Public betting action and sharp money movement on sportsbooks often precede prediction market repricing. Summer League games themselves generate momentum—early blowouts or close contests reshape expectations for subsequent matchups. Media coverage, player trades, and organizational priorities heading into the regular season also influence how traders value each team's Summer League performance.