TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 10:24 PM EST
Kalshi
This market focuses on the point spread between Seattle and Atlanta in their women's professional basketball game. Bettors can wager on Atlanta winning by various margins or Seattle winning by various margins.
Resolution depends on the final margin of victory in the Seattle vs Atlanta women's professional basketball game on July 9, 2026. Markets capture Atlanta victories ranging from 1.5 to 22.5 points and Seattle victories ranging from 1.5 to 9.5 points. Each threshold represents a distinct outcome; the market resolves to Yes if the specified team wins by more than the stated point margin. Official final scores determine the winning team and exact margin of victory.
Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets reflect aggregated trader beliefs about the true probability of an outcome. This market may show different implied probabilities than major sportsbooks, especially as new information emerges or trading volume shifts. Comparing the two can reveal where the crowd sees value or where consensus differs, though both reflect real money backing their respective prices.
On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts representing each side of the spread. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the probability traders assign to that outcome, ranging from near-zero to near-100 cents. As new trades execute, prices update in real time based on supply and demand. Wider bid-ask spreads indicate lower liquidity, while tighter spreads suggest active trading and consensus pricing.
Key catalysts include injury reports, lineup changes, and weather updates affecting either team's performance. Betting action from sharp money or public sentiment shifts can also drive prices. Recent team form, head-to-head matchup history, and travel factors may influence trader positioning. Breaking news about player availability or coaching decisions often triggers rapid repricing. As game day approaches, late-breaking information and final injury confirmations typically create the most volatile price movements in this market.