TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 16, 3:50 PM EST
Kalshi
This event group covers a professional Israeli Super League basketball game between Maccabi Tel-Aviv and Hapoel Tel-Aviv scheduled for June 16, 2026 at 1:50 PM EDT. Markets on Kalshi and Polymarket are tracking the outcome of this single match, with different resolution mechanics across platforms.
In the upcoming Super League (Israel) game, scheduled for June 16 at 1:50PM ET: If the Maccabi Tel-Aviv win, the market will resolve to "Maccabi Tel-Aviv". If the Hapoel Tel-Aviv win, the market will resolve to "Hapoel Tel-Aviv". 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.
This event resolves based on the winner of the Hapoel Tel-Aviv vs Maccabi Tel-Aviv professional Israeli Super League basketball game originally scheduled for June 16, 2026 at 1:50 PM EDT. If the game is postponed or delayed, the market remains open and will close after the rescheduled game concludes, provided the rescheduled date falls within two weeks of the original date. Should the game be cancelled and not played, or if rescheduling extends beyond two weeks from the original date, the market will resolve to a fair price for each team in accordance with established 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. Both platforms host the same event, but pricing gaps emerge from distinct order flow, user demographics, and market depth. Kalshi and Polymarket attract different trader profiles—some prefer one platform's interface, fee structure, or regulatory standing. Liquidity concentration, timing of large trades, and how each platform handles order matching can push prices apart temporarily. These differences create arbitrage opportunities and reflect the broader fragmentation of prediction market infrastructure.
Key catalysts include team roster announcements, injury reports, recent form and head-to-head records, and any tactical changes disclosed before kickoff. Media coverage and expert analysis often shift trader sentiment in the days leading up to the match. Weather conditions, venue factors, and historical derby dynamics can also influence pricing. Social media momentum and large trades on either platform may trigger rapid repricing as new money enters or exits positions.