TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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NBA Summer League: Charlotte Hornets vs. Milwaukee Bucks
polymarket
kalshi

What is the result of Charlotte Hornets vs. Milwaukee Bucks?

Volume:
$4,427,081

Milwaukee

 - Kalshi

Milwaukee - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 16, 2026

Closed: Jul 15, 9:24 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

Milwaukee

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,148,579
N/A
N/A
$1,038,385
Settled
Yes
kalshi

Charlotte

0%
Yes 0¢No 100¢
100¢
N/A
$2,154,645
N/A
N/A
$1,141,214
Settled
No
polymarket

NBA Summer League: Charlotte Hornets vs. Milwaukee Bucks

0%
Yes 0¢No 100¢
—
N/A
$123,857
N/A
N/A
N/A
Settled
Yes
Total markets: 3

Intro

This market tracks which team will win the NBA Summer League matchup between the Charlotte Hornets and Milwaukee Bucks. Aggregated across Polymarket and Kalshi, the consensus probability for the leading outcome stands at 10.0%. Resolution will be determined by the final score reported on NBA.com's official Summer League page. Watch the game on July 15, 2026 at 7:30 PM ET for the decisive result.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi market contains a logical contradiction: both Charlotte win and Milwaukee win are stated to resolve to Yes, which is impossible for a single-outcome event. This makes the Kalshi market fundamentally unresolvable as written.Hero tip: Do not trade the Kalshi market until the platform issues a corrected description. The Polymarket binary structure (Charlotte Hornets vs Milwaukee Bucks) is logically sound and should be the reference resolution framework. Kalshi likely intended a Yes/No structure (e.g., 'Will Charlotte win?') but the current wording is contradictory.

Critical divergence points:

  • Polymarket: Binary winner-take-all resolution. Charlotte Hornets win resolves to 'Charlotte Hornets'; Milwaukee Bucks win resolves to 'Milwaukee Bucks'. Includes postponement (market remains open) and cancellation (50-50 split) edge cases. Resolution based on final score including overtime.
  • Kalshi: Contradictory logic: states both 'If Charlotte wins...resolves to Yes' and 'If Milwaukee wins...resolves to Yes.' This creates an impossible dual-Yes outcome for a single game. Market structure is logically broken and cannot resolve consistently.
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 15 at 7:30PM ET: If the Charlotte Hornets win, the market will resolve to "Charlotte Hornets". If the Milwaukee Bucks win, the market will resolve to "Milwaukee Bucks". 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

This market covers the Pro Basketball Summer League game between Milwaukee and Charlotte originally scheduled for July 15, 2026. Resolution is determined by the final result of the game, with each team's market resolving to Yes if that team achieves victory.

Frequently asked questions

This dashboard aggregates prediction market data across Polymarket and Kalshi for the Hornets vs. Bucks Summer League matchup, letting you monitor real-time odds on game outcomes as traders update their positions. You can track cumulative trading volume and see how consensus shifts across both venues leading up to tipoff. The cross-platform view reveals which outcome is favored on each exchange, helping you spot pricing gaps and understand where the broader prediction market stands on this preseason contest.

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets reflect the aggregate belief of traders risking real capital. This market's odds on Polymarket and Kalshi emerge from continuous trading rather than a bookmaker's margin, often resulting in tighter spreads and prices that shift more fluidly with new information. Direct comparison requires checking both venues simultaneously, as prediction market prices can diverge significantly from traditional sportsbook lines.

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, liquidity pools, and fee structures, which naturally produces price variation even for the same underlying event. Polymarket and Kalshi may also interpret or frame the outcome slightly differently, leading their respective user bases to price the game with different confidence levels. Regulatory environments, settlement timelines, and platform-specific rules can further influence how quickly each venue incorporates new information, creating temporary arbitrage opportunities for alert traders.

Key catalysts include roster announcements, injury updates for either team, and any last-minute lineup adjustments the Hornets or Bucks make for their Summer League squad. Betting action from sharp money and casual bettors can also shift odds significantly. Public commentary from coaches or players, recent performance by either team in prior Summer League games, and line movement on external sportsbooks may signal new information that traders incorporate into their positions. Monitor team news feeds and preseason coverage closely for developments that could reshape market pricing.