TOTAL VOLUME:

$134b

24H VOL:

$87,997,338

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,395,155,069

395,664

Markets across

30,076

events

MATCHED EVENTS:

2,626

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Phoenix Mercury vs. Dallas Wings
kalshi
polymarket

Phoenix Mercury vs. Dallas Wings

Volume:
$441,224

Spread -6.5

 - Polymarket

Spread -6.5 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 12, 2026

Closed: Jun 11, 9:00 PM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Spread -6.5

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$17,438
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$9,908
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -4.5

100%
Yes 100¢No 0¢
0.1¢
N/A
$8,234
N/A
N/A
N/A
Settled
Yes
polymarket

Phoenix Mercury vs. Dallas Wings

0%
Yes 0¢No 100¢
—
N/A
$336,967
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 170.5

0%
Yes 0¢No 100¢
—
N/A
$36,567
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 169.5

0%
Yes 0¢No 100¢
—
N/A
$32,058
N/A
N/A
N/A
Settled
Yes
kalshi

Game goes to overtime

0%
Yes 0¢No 100¢
100¢
N/A
$52
N/A
N/A
$52
Settled
No
Total markets: 7

Description

This event group covers the WNBA matchup between the Phoenix Mercury and Dallas Wings scheduled for June 11, 2026 at 9:00 PM ET. Kalshi offers a binary market on whether the game goes to overtime, while Polymarket offers a winner-take-all market (Phoenix Mercury, Dallas Wings, or 50-50 if canceled). The two markets measure fundamentally different outcomes.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi and Polymarket measure orthogonal outcomes: Kalshi resolves on overtime occurrence (binary), while Polymarket resolves on game winner (ternary with cancellation fallback). The markets are not contradictory but operate on different event dimensions.Hero tip: Treat these as two independent markets. Polymarket outcome (winner) and Kalshi outcome (overtime yes/no) can both occur simultaneously. A Phoenix Mercury win in regulation = Polymarket Phoenix Mercury + Kalshi No. A Dallas Wings win in overtime = Polymarket Dallas Wings + Kalshi Yes. If game is canceled with no makeup, Polymarket goes 50-50, but Kalshi's resolution is undefined—contact Kalshi support for cancellation protocol.

Critical divergence points:

  • Kalshi: Overtime-occurrence binary market. Resolves YES if and only if the game reaches overtime, NO if the game ends in regulation. Does not specify cancellation or postponement handling. Key quote: 'If Phoenix and Dallas go to overtime in the Phoenix vs Dallas women's professional basketball game originally scheduled for Jun 11, 2026, then the market resolves to Yes.'
  • Polymarket: Winner-determination market with three outcomes plus cancellation fallback. Resolves to Phoenix Mercury if Phoenix wins, Dallas Wings if Dallas wins, or 50-50 if canceled with no makeup. Explicitly includes overtime in final score. Key quote: 'The result will be determined based on the final score including any overtime periods. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.'
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 WNBA game, scheduled for June 11 at 9:00PM ET: If the Phoenix Mercury win, the market will resolve to "Phoenix Mercury". If the Dallas Wings win, the market will resolve to "Dallas Wings". 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

If Phoenix and Dallas go to overtime in the Phoenix vs Dallas women's professional basketball game originally scheduled for Jun 11, 2026, then the market resolves to Yes.

Frequently asked questions

Prediction market odds on Polymarket and Kalshi often diverge from traditional sportsbook lines because they reflect real-time crowd sentiment and decentralized price discovery rather than fixed oddsmaker models. Sportsbooks adjust for liability and margin, while prediction markets reward accurate forecasters directly. For the Phoenix Mercury vs. Dallas Wings matchup, comparing Polymarket and Kalshi prices to major sportsbooks reveals whether the crowd is more or less bullish on Phoenix than professional oddsmakers. Prediction markets typically tighten closer to game time as new information arrives and arbitrage traders align prices.

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. Polymarket and Kalshi attract different trader demographics, liquidity pools, and regulatory frameworks, creating natural price gaps. Polymarket's Phoenix Mercury vs. Dallas Wings contract may reflect broader retail participation, while Kalshi's overtime-specific question targets a narrower outcome set. Liquidity depth varies between platforms; lower volume on one exchange can cause wider bid-ask spreads and slower price adjustment. Geographic restrictions, fee structures, and contract design differences also contribute. Arbitrage traders exploit these gaps, but friction costs and settlement timing prevent instant convergence, allowing temporary spreads to persist.

Key catalysts for Phoenix Mercury vs. Dallas Wings odds include player injury reports, lineup announcements, and recent team form. Roster changes, coaching decisions, or late-breaking news about star players can shift implied probability significantly. Historical head-to-head matchups and current season records influence trader positioning. Weather conditions and travel schedules may affect performance expectations. Social media sentiment and expert commentary can trigger retail trader activity. As game time approaches, line movement often accelerates on Polymarket and Kalshi as sharp bettors react to final information. Monitor official team announcements and sports news feeds for material updates that could move the market.