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%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
Mets de Guaynabo vs. Gigantes de Carolina
kalshi
polymarket

What is the result of Mets de Guaynabo vs. Gigantes de Carolina?

Volume:
$18,905

Gigantes de Carolina

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 29, 2026

Closed: Jun 28, 10:09 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

Gigantes de Carolina

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,942
N/A
N/A
$6,082
Settled
Yes
polymarket

Gigantes de Carolina (-9.5)

View
100%
Yes 100¢No 0¢
0.8¢
N/A
$5
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 189.5

View
100%
Yes 100¢No 0¢
0.5¢
N/A
$42
N/A
N/A
N/A
Settled
Yes
kalshi

Mets de Guaynabo

View
0%
Yes 0¢No 100¢
100¢
N/A
$10,132
N/A
N/A
$6,576
Settled
No
polymarket

Mets de Guaynabo vs. Gigantes de Carolina

View
0%
Yes 0¢No 100¢
—
N/A
$1,784
N/A
N/A
N/A
Settled
Yes
Total markets: 5

Description

This event group covers a single professional BSN (Baloncesto Superior Nacional) Puerto Rico basketball game between Mets de Guaynabo and Gigantes de Carolina scheduled for June 28, 2026 at 8:00 PM EDT. Both prediction markets are pricing the outcome of this same game, with resolution dependent on which team wins the match.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's binary Yes/No structure maps both possible game outcomes (Mets win and Gigantes win) to Yes, making the market logically unresolvable and eliminating all predictive differentiation. Polymarket correctly differentiates outcomes by team name.Hero tip: Kalshi's market is fundamentally broken due to a logical contradiction in its resolution rules. Both winning scenarios resolve identically to Yes, which violates basic prediction market design. Treat Kalshi as non-functional and reference Polymarket as the authoritative market for this matchup. Request clarification from Kalshi or expect market cancellation.

Critical divergence points:

  • Kalshi: Binary Yes/No market where both Mets win and Gigantes win resolve to Yes. Quote: 'If Mets de Guaynabo wins... resolves to Yes. If Gigantes de Carolina wins... resolves to Yes.' This creates a logical impossibility—no outcome resolves to No.
  • Polymarket: Categorical market resolving to winning team name (Mets de Guaynabo or Gigantes de Carolina), with 50-50 split on full cancellation. Quote: 'If the Mets de Guaynabo win, the market will resolve to Mets de Guaynabo. If the Gigantes de Carolina win, the market will resolve to Gigantes de Carolina.'
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 BSN game, scheduled for June 28 at 8:00PM ET: If the Mets de Guaynabo win, the market will resolve to "Mets de Guaynabo". If the Gigantes de Carolina win, the market will resolve to "Gigantes de Carolina". 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 winner of the Gigantes de Carolina vs Mets de Guaynabo professional BSN Puerto Rico basketball game originally scheduled for June 28, 2026 at 8:00 PM EDT. If the game is postponed or delayed, the market remains open and will close after the rescheduled game concludes, provided the rescheduling occurs within two weeks of the original date. Should the game be cancelled entirely or rescheduled beyond the two-week window, the market will resolve to a fair price for each team in accordance with established resolution procedures.

Frequently asked questions

Prediction markets and traditional sportsbooks price events through fundamentally different mechanisms. Sportsbooks set odds to balance their book and manage risk, often incorporating sharp-money signals and closing lines before game time. Prediction markets rely on continuous trader participation and real-time supply-and-demand dynamics, which can reflect longer-term sentiment or niche information. This market may show materially different odds than major sportsbooks, especially if prediction traders have unique conviction or if one venue has lighter liquidity. Comparing both sources helps identify where smart money is positioning ahead of the matchup.

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 operates under distinct regulatory frameworks, fee structures, and user bases, all of which influence pricing. Kalshi, a CFTC-regulated exchange, attracts institutional and compliance-focused traders, while Polymarket draws a broader decentralized community. Liquidity depth, order-book dynamics, and the timing of large trades can cause temporary spreads between venues. Additionally, differences in how each platform handles market rules or contingencies may lead traders to assign slightly different probabilities. Monitoring both prices reveals arbitrage opportunities and helps you understand which platform's crowd is more confident in a given outcome.

Key catalysts include team roster updates, injury announcements, recent performance trends, and head-to-head historical matchups. Public statements from coaches or players, playoff implications, and venue conditions can all shift trader sentiment. Media coverage and expert predictions often influence retail participation, potentially moving prices on one platform before the other. Weather, travel logistics, or unexpected lineup changes closer to game day may trigger sharp repricing. Monitoring sports news feeds and social sentiment alongside this market helps you anticipate moves and identify when prices lag behind new information.