TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 21, 6:20 PM EST
Kalshi
This event group covers two distinct prediction markets for the same WNBA game between Golden State Valkyries and Las Vegas Aces scheduled for June 21, 2026. Kalshi offers nine over/under markets on combined team scoring at different thresholds, while Polymarket offers a binary moneyline market on which team wins. The markets measure fundamentally different outcomes.
In the upcoming WNBA game, scheduled for June 21 at 4:00PM ET: If the Golden State Valkyries win, the market will resolve to "Golden State Valkyries". If the Las Vegas Aces win, the market will resolve to "Las Vegas Aces". 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.
The Golden State vs Las Vegas women's professional basketball game scheduled for June 21, 2026 will resolve based on the combined points scored by both teams. Resolution occurs when the total exceeds specific thresholds: 155.5, 158.5, 161.5, 164.5, 167.5, 170.5, 173.5, 176.5, or 179.5 points. Each threshold represents a separate market outcome, with Yes resolution if the actual combined score surpasses the specified level and No resolution otherwise. The final official score at the end of regulation play determines the outcome.
On Polymarket, traders set prices through order-book mechanics, while Kalshi uses a different matching or AMM model. 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. Platform-specific liquidity, user demographics, fee structures, and contract specifications can all influence how each community prices the same event. Additionally, timing lags in price updates between platforms and varying levels of informed trading activity mean odds may temporarily diverge. These gaps often narrow as arbitrageurs exploit mispricings, but real-time differences are normal.
Key catalysts include roster changes, player injuries, recent team performance, head-to-head matchup history, and public betting trends. Coaching decisions, trades, or trades announced before the game can shift trader confidence. Media coverage, expert predictions, and line movement at major sportsbooks often influence prediction market prices as well. Real-time updates during warm-ups or pre-game commentary may also trigger sharp moves as new information reaches traders. Monitor team news closely for the most actionable signals.