TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Gigantes de Carolina vs. Osos de Manati
kalshi
polymarket

What is the result of Gigantes de Carolina vs. Osos de Manati?

Volume:
$8,778

Osos de Manati

 - Kalshi

Osos de Manati - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jun 29, 9:54 PM EST

kalshi

Kalshi

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

Osos de Manati

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,158
N/A
N/A
$3,760
Settled
Yes
kalshi

Gigantes de Carolina

0%
Yes 0¢No 100¢
100¢
N/A
$3,039
N/A
N/A
$2,454
Settled
No
polymarket

Gigantes de Carolina vs. Osos de Manati

0%
Yes 0¢No 100¢
—
N/A
$576
N/A
N/A
N/A
Settled
Yes
polymarket

Gigantes de Carolina (-2.5)

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

O/U 191.5

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 5

Description

This event group covers a professional BSN (Baloncesto Superior Nacional) Puerto Rico basketball game between Gigantes de Carolina and Osos de Manati scheduled for June 29, 2026 at 8:00 PM EDT. The markets track the winner of this single matchup across two prediction platforms.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi market contains a logical contradiction where both possible outcomes (either team winning) are stated to resolve to Yes, making the market mathematically unresolvable. Polymarket uses standard binary resolution naming the winning team.Hero tip: Do not trade the Kalshi market until the actual resolution logic is clarified directly with Kalshi support. The stated terms are internally inconsistent. Polymarket's market is resolvable and clear: it will settle to whichever team wins the game on June 29, 2026.

Critical divergence points:

  • Kalshi: Both outcomes stated to resolve Yes. Logic: If Osos de Manati wins = Yes; If Gigantes de Carolina wins = Yes. This is a binary market contradiction.
  • Polymarket: Market resolves to winning team name. Logic: Gigantes de Carolina win = resolves Gigantes de Carolina; Osos de Manati win = resolves Osos de Manati. Postponement keeps market open; cancellation with no makeup = 50-50 split.
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 29 at 8:00PM ET: If the Gigantes de Carolina win, the market will resolve to "Gigantes de Carolina". If the Osos de Manati win, the market will resolve to "Osos de Manati". 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

Resolution is determined by the final result of the professional BSN Puerto Rico basketball game between Osos de Manati and Gigantes de Carolina originally scheduled for June 29, 2026 at 8:00 PM EDT. If the game is postponed or delayed, the market remains open and resolves after the rescheduled game concludes, provided the reschedule occurs within two weeks. Should the game be cancelled and not played, or rescheduled beyond two weeks, the market resolves to a fair price for each team in accordance with established rules.

Frequently asked questions

This dashboard aggregates prediction market pricing for the Gigantes de Carolina vs. Osos de Manati matchup across Polymarket and Kalshi, allowing you to monitor real-time consensus odds on the game outcome. Traders on both platforms collectively signal their expectations through buy and sell activity, creating a live probability estimate. You can compare how each platform prices the event, track volume trends, and observe shifts in sentiment as new information emerges. The cross-platform view helps identify which outcome traders favor most strongly and whether conviction differs meaningfully between venues.

Prediction markets and sportsbooks price events through different mechanisms. Sportsbooks set odds to balance their book and manage risk, while prediction markets derive prices from continuous trader participation and real-money stakes. Prediction market odds often reflect crowd sentiment and can diverge from traditional sportsbook lines, especially as new information surfaces or when retail traders and professionals disagree on probability. Comparing this market's odds to major sportsbooks can reveal value opportunities, though prediction markets typically have lower liquidity and wider spreads than established betting venues.

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, operates under distinct regulatory frameworks, and may have varying liquidity pools. Polymarket and Kalshi also differ in fee structures, user interfaces, and settlement procedures, all of which influence how traders price the same event. Temporary arbitrage opportunities can emerge when one platform's odds lag behind new developments or when one venue experiences heavier trading volume. These price gaps typically narrow as informed traders exploit the difference, but they may persist if transaction costs or platform friction outweigh the profit opportunity.

Key catalysts include injury announcements, roster changes, recent team performance, head-to-head history, and any public statements from coaches or players. Weather conditions, home-field advantage, and playoff implications may also influence trader positioning. Major upsets or unexpected results in related games can shift sentiment across the league. Social media momentum, expert commentary, and shifts in betting volume on other platforms can create cascading price moves. Watch for any breaking news about either team in the days before the matchup, as late developments often trigger sharp repricing.