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$134.2b

24H VOL:

$130,522,377

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OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

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MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Dallas Wings vs. PortlandFire
polymarket
kalshi

Dallas Wings vs. PortlandFire

Volume:
$2,392,600

Portland

 - Kalshi

Portland - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 14, 2026

Closed: Jun 13, 10:54 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Portland

View
100%
Yes 100¢No 0¢
100¢
N/A
$929,369
N/A
N/A
$412,726
Settled
Yes
kalshi

Dallas

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,179,848
N/A
N/A
$664,467
Settled
No
polymarket

Dallas Wings vs. PortlandFire

View
0%
Yes 0¢No 100¢
—
N/A
$184,896
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

View
0%
Yes 0¢No 100¢
—
N/A
$61,818
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

View
0%
Yes 0¢No 100¢
—
N/A
$10,834
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 169.5

View
0%
Yes 0¢No 100¢
—
N/A
$7,939
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 167.5

View
0%
Yes 0¢No 100¢
—
N/A
$7,265
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 170.5

View
0%
Yes 0¢No 100¢
—
N/A
$5,097
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -6.5

View
0%
Yes 0¢No 100¢
—
N/A
$3,043
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 171.5

View
0%
Yes 0¢No 100¢
—
N/A
$2,491
N/A
N/A
N/A
Settled
Yes
Total markets: 10

Intro

This market tracks which team will win the WNBA matchup between the Dallas Wings and Portland Fire. Across Polymarket and Kalshi, the aggregated consensus shows Dallas at 59.0% to secure victory. Resolution will be determined by official WNBA scores. The game is scheduled for June 13, 2026 at 8:30 PM ET, with the resolution window closing on June 14, 2026.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic is fundamentally broken: both Dallas victory and Portland victory resolve to Yes, making the market logically contradictory and unresolvable as a predictive instrument. Polymarket uses proper categorical outcomes (Dallas Wings vs PortlandFire) with explicit edge-case rules.Hero tip: Do not trade on Kalshi. The market structure violates basic binary logic and cannot differentiate between outcomes. Polymarket is the only viable venue for this event, offering clear categorical resolution, postponement handling, and cancellation protocols.

Critical divergence points:

  • Kalshi: Binary Yes/No structure with critical logical flaw: both Dallas win and Portland win resolve to Yes. No explicit handling of postponement or cancellation. Key Quote: If Dallas wins resolve Yes; If Portland wins resolve Yes.
  • Polymarket: Categorical outcome model: Dallas Wings or PortlandFire. Postponement keeps market open until completion; cancellation without makeup resolves 50-50. Resolution based on final score including overtime. Key Quote: If Dallas wins resolve to Dallas Wings; If Portland wins resolve to PortlandFire.
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 13 at 8:30PM ET: If the Dallas Wings win, the market will resolve to "Dallas Wings". If the PortlandFire win, the market will resolve to "PortlandFire". 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 Portland wins the Dallas vs Portland women's professional basketball game originally scheduled for Jun 13, 2026, then the market resolves to Yes. If Dallas wins the Dallas vs Portland women's professional basketball game originally scheduled for Jun 13, 2026, then the market resolves to Yes.

Frequently asked questions

Prediction markets like this one differ from traditional sportsbooks in that traders set odds through continuous buying and selling rather than oddsmakers posting fixed lines. This market-driven pricing often reflects real-time sentiment and information flow more dynamically than sportsbook odds, which adjust less frequently. Prediction market prices tend to be highly efficient, especially as the event approaches, since traders have direct financial incentive to price outcomes accurately. Comparing this market's odds to major sportsbooks can reveal which platform's participants are more bullish or bearish on the outcome.

Polymarket and Kalshi can show different prices on the same event for several reasons. 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 influence how quickly prices converge to fair value. Polymarket may have deeper liquidity in this particular matchup, allowing larger trades with less slippage, while Kalshi might see different information flows or trading patterns. Arbitrage traders typically exploit these gaps, but temporary spreads persist due to platform friction and the time required to move capital between venues.

Several catalysts could shift prices significantly before resolution. Injury announcements or roster changes for either team would likely trigger sharp repricing, as would recent performance trends or head-to-head matchup history. Betting line movements at major sportsbooks often precede prediction market moves, so monitoring those can provide early signals. Public sentiment shifts, media coverage, and any breaking news about team dynamics or external factors could also influence trader positioning. Close to the event date, live information and final confirmations typically drive the most volatile price swings.