TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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NBA Summer League: Miami Heat vs. Toronto Raptors
polymarket
kalshi

Who will win the Miami Heat vs. Toronto Raptors NBA Summer League game?

Volume:
$7,232,959

Toronto

 - Kalshi

Toronto - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 17, 2026

Closed: Jul 16, 10:44 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

Toronto

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,400,173
N/A
N/A
$1,811,226
Settled
Yes
kalshi

Miami

0%
Yes 0¢No 100¢
100¢
N/A
$3,669,093
N/A
N/A
$1,785,881
Settled
No
polymarket

NBA Summer League: Miami Heat vs. Toronto Raptors

0%
Yes 0¢No 100¢
—
N/A
$163,693
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 Miami Heat and Toronto Raptors. Across Polymarket and Kalshi, the aggregated consensus probability for the leading outcome stands at 10.0%. Resolution will be determined by the final score as reported on NBA.com. Watch for the game on July 16, 2026 at 9:00 PM ET, which will settle the outcome by end of day July 17, 2026.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic contains a logical contradiction where both Miami winning and Toronto winning resolve to Yes, making the market fundamentally unresolvable. This is a data integrity failure that prevents proper settlement.Hero tip: Avoid trading on Kalshi until the resolution logic is corrected. The market cannot distinguish between the two outcomes. Polymarket's binary structure is logically sound. Request clarification from Kalshi that the second condition should resolve to No.

Critical divergence points:

  • Polymarket: Binary winner-take-all structure with mutually exclusive outcomes. Miami Heat win resolves to 'Miami Heat', Toronto Raptors win resolves to 'Toronto Raptors'. Includes edge case handling for postponement (market remains open) and cancellation without makeup (50-50 split). Resolution based on final score including overtime.
  • Kalshi: Contradictory resolution logic: 'If Miami wins...resolves to Yes. If Toronto wins...resolves to Yes.' Both outcomes map to identical resolution, creating logical impossibility. No edge case specifications provided.
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 16 at 9:00PM ET: If the Miami Heat win, the market will resolve to "Miami Heat". If the Toronto Raptors win, the market will resolve to "Toronto Raptors". 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 result of the Toronto vs Miami Pro Basketball Summer League game scheduled for July 16, 2026. Resolution occurs when either Miami or Toronto achieves victory in the contest. The market will resolve to Yes for whichever team wins the game.

Frequently asked questions

This dashboard aggregates prediction market pricing for the Heat vs. Raptors Summer League matchup across Polymarket and Kalshi, allowing traders to monitor real-time odds on the game's outcome. Each platform maintains its own order book and user base, creating independent price discovery. The aggregated view shows how both venues are pricing the event, with current volume and historical trends. Tracking across multiple platforms reveals consensus strength: when both venues align on a likely outcome, conviction tends to be higher. Conversely, significant price divergence between Polymarket and Kalshi often signals uncertainty or different trader compositions on each platform.

Prediction markets and sportsbooks price events differently due to their distinct mechanisms. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets rely on trader consensus to discover prices. Sportsbook odds typically reflect sharp professional action and historical betting patterns, whereas prediction markets can be more reactive to real-time information and retail sentiment. Both venues should converge toward true probability over time, but short-term gaps often emerge due to liquidity differences, fee structures, and the composition of each market's participants. Comparing this market across platforms and against major sportsbooks helps identify potential 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, fee schedules, and liquidity pools, causing temporary price splits. Polymarket and Kalshi may also frame the same event slightly differently—for instance, one venue might emphasize the binary win outcome while another structures it around specific conditions. Order flow timing, promotional incentives, and platform-specific risk management rules can all push prices apart. Additionally, traders on one venue may have access to information or analytical tools unavailable on the other, creating information asymmetries. These gaps typically narrow as arbitrageurs exploit them, but during low-liquidity periods, meaningful divergences can persist until resolution.

Key catalysts include roster announcements, injury reports, and player availability updates for both teams. Preseason performance by key contributors, coaching decisions, and any trades or roster moves closer to the Summer League window can shift trader expectations. Public statements from team management about their Summer League strategy—such as prioritizing player development over winning—may also influence odds. Media narratives and expert predictions can drive retail sentiment. Additionally, line movement on related markets, such as regular-season win totals for Miami and Toronto, sometimes correlates with Summer League sentiment. Real-time game flow during the matchup itself will be the final driver before resolution.