TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 14, 10:30 PM EST
Kalshi
This event group covers a professional BSN (Baloncesto Superior Nacional) Puerto Rico basketball game between Vaqueros de Bayamon and Atleticos de San German scheduled for June 14, 2026 at 8:00 PM EDT. The markets track the outcome of this single matchup across two prediction platforms with materially different resolution mechanics.
In the upcoming BSN game, scheduled for June 14 at 8:00PM ET: If the Vaqueros de Bayamon win, the market will resolve to "Vaqueros de Bayamon". If the Atleticos de San German win, the market will resolve to "Atleticos de San German". 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.
Resolution is based on the final result of the Atleticos de San German vs Vaqueros de Bayamon professional BSN Puerto Rico basketball game originally scheduled for June 14, 2026 at 8:00 PM EDT. If the game is postponed or delayed, the market will remain open and close after the rescheduled game concludes, provided the reschedule occurs within two weeks of the original date. Should the game be cancelled and not played, or if it is rescheduled more than two weeks beyond the original date, the market will resolve to a fair price for each team in accordance with standard resolution procedures.
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 can push prices apart even for the same underlying event. Kalshi and Polymarket also operate distinct market mechanics—order-book depth, settlement timing, and user interface design all influence how quickly prices adjust to new information. Temporary arbitrage opportunities may emerge between the two, rewarding traders who spot and exploit these gaps before prices converge.
Key catalysts include injury announcements, roster changes, recent team performance, and head-to-head history. Unexpected trades, coaching decisions, or public statements from players can shift trader expectations quickly. Weather conditions, venue factors, and betting-market activity on traditional sportsbooks may also influence prediction market prices. As game day nears, late-breaking news—such as lineup confirmations or last-minute roster adjustments—typically drives the most volatile price movements in this market.