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NBA Summer League: Minnesota Timberwolves vs. Indiana Pacers
polymarket
kalshi

Who will win the Timberwolves vs. Pacers Summer League game?

Volume:
$1,414,646

Minnesota

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 15, 2026

Closed: Jul 15, 5:29 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

Minnesota

View
100%
Yes 100¢No 0¢
100¢
N/A
$712,089
N/A
N/A
$425,615
Settled
Yes
polymarket

NBA Summer League: Minnesota Timberwolves vs. Indiana Pacers

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$31,996
N/A
N/A
N/A
Settled
Yes
kalshi

Indiana

View
0%
Yes 0¢No 100¢
100¢
N/A
$670,561
N/A
N/A
$384,900
Settled
No
Total markets: 3

Intro

This market tracks the outcome of a single NBA Summer League matchup between the Minnesota Timberwolves and Indiana Pacers. Aggregated data from Polymarket and Kalshi shows Minnesota favored at 100.0%, with Indiana at 1.0%, according to official NBA Summer League records. The game is scheduled for July 15, 2026 at 3:30 PM ET, and the final score on that date will determine the resolution outcome.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi market definition is logically contradictory: both a Minnesota win and an Indiana win are stated to resolve to Yes, leaving the No outcome undefined and making the market fundamentally unresolvable as written.Hero tip: This is a critical data integrity failure on Kalshi. The market cannot function as a binary Yes/No contract if both possible outcomes resolve to Yes. Verify with Kalshi support whether this is a template error before committing capital. Polymarket's winner-take-all structure is logically sound.

Critical divergence points:

  • Polymarket: Clean binary resolution: Minnesota win resolves to Minnesota Timberwolves, Indiana win resolves to Indiana Pacers. Postponement keeps market open; cancellation without makeup resolves 50-50. Overtime included in final score. Source: NBA.com Summer League.
  • Kalshi: Logically broken: states both Minnesota win and Indiana win resolve to Yes. No defined No outcome. Appears to be a market definition error rather than a valid conditional structure.
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 3:30PM ET: If the Minnesota Timberwolves win, the market will resolve to "Minnesota Timberwolves". 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.

Kalshi

This market covers the Pro Basketball Summer League game between Indiana and Minnesota 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 prices for the Timberwolves vs. Pacers Summer League matchup across Polymarket and Kalshi, two leading venues where traders forecast the game outcome. You can monitor real-time odds, historical price movements, and cross-platform consensus as the event approaches. The combined volume of $1,414,646 reflects trader conviction across both platforms. By tracking both venues simultaneously, you gain insight into how different market structures and participant bases price the same underlying event, helping you identify potential value or consensus shifts before resolution.

Prediction markets and traditional sportsbooks price events differently. Sportsbooks set odds to balance their book and manage risk, often incorporating a margin. Prediction markets, by contrast, aggregate trader beliefs through continuous price discovery—odds reflect what participants collectively believe will happen. This market's prices on Polymarket and Kalshi emerge from open trading rather than a bookmaker's model. Prediction market odds can sometimes diverge from sportsbook lines, especially early in an event's lifecycle or when retail and professional traders disagree on probability. Comparing both sources helps you spot discrepancies and make more informed decisions.