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%

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NJ/NY Gotham FC vs. Seattle Reign FC
polymarket
kalshi

What is the result of NJ/NY Gotham FC vs. Seattle Reign FC?

Volume:
$690,070

Gotham

 - Kalshi

Gotham - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 18, 2026

Closed: Jul 18, 4:41 PM EST

kalshi

Kalshi

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

Gotham

View
100%
Yes 100¢No 0¢
100¢
N/A
$233,130
N/A
N/A
$83,074
Settled
Yes
polymarket

NJ/NY Gotham FC

100%
Yes 100¢No 0¢
0.1¢
N/A
$17,034
N/A
N/A
N/A
Settled
Yes
kalshi

Seattle Reign

0%
Yes 0¢No 100¢
100¢
N/A
$263,878
N/A
N/A
$90,595
Settled
No
polymarket

Seattle Reign FC

0%
Yes 0¢No 100¢
—
N/A
$18,488
N/A
N/A
N/A
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
100¢
N/A
$154,730
N/A
N/A
$63,535
Settled
No
polymarket

Draw (NJ/NY Gotham FC vs. Seattle Reign FC)

0%
Yes 0¢No 100¢
—
N/A
$2,810
N/A
N/A
N/A
Settled
No
Total markets: 6

Description

This event group covers a professional NWSL soccer match between NJ/NY Gotham FC and Seattle Reign FC scheduled for July 18, 2026. Three markets are offered across Polymarket and Kalshi, covering outcomes for Gotham win, draw, and Seattle Reign win, all evaluated at 90 minutes plus stoppage time (regular play only).

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi presents three binary markets without explicit mutual exclusivity or cancellation handling, while Polymarket clearly defines mutually exclusive outcomes with specific cancellation rules. The logical structure differs in clarity and edge case treatment.Hero tip: Assume Kalshi markets are mutually exclusive (only one resolves Yes per match outcome). Confirm cancellation handling with Kalshi directly, as Polymarket explicitly resolves Draw to Yes if canceled with no makeup, but Gotham and Seattle markets to No. This asymmetry may not be mirrored on Kalshi.

Critical divergence points:

  • Polymarket: Three independent binary markets with explicit mutual exclusivity. Gotham Win and Seattle Win resolve No if game is canceled with no makeup. Draw resolves Yes if game is canceled with no makeup. Resolution based on official NWSL statistics within 2 hours post-match, or credible reporting consensus if official stats delayed.
  • Kalshi: Three independent binary markets (Gotham win, Seattle win, Tie) presented as separate Yes/No outcomes. No explicit statement of mutual exclusivity or cancellation handling. Resolution based on 90 minutes plus stoppage time, excluding extra time or penalties. Platform does not clarify whether cancellation resolves Tie to Yes (as Polymarket does) or to No.
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

This event is for the upcoming NWSL game, scheduled for Saturday, July 18, 2026 between NJ/NY Gotham FC and Seattle Reign FC.

Kalshi

Resolution is based on the final result of the professional NWSL soccer match between Gotham and Seattle Reign after 90 minutes plus stoppage time, excluding extra time or penalties. Each outcome—Gotham win, Seattle Reign win, or tie—resolves to Yes if that result occurs. If the match is cancelled or rescheduled to more than two weeks away, the market resolves to a fair price in accordance with the rules.

Frequently asked questions

This dashboard aggregates prediction market data across Polymarket and Kalshi for the Gotham FC vs. Reign FC match. Traders on both venues are pricing the outcome of this matchup, with each platform's community setting odds independently. The cross-platform view lets you compare how different prediction markets are valuing the same event, revealing consensus strength or divergence in trader expectations. Real-time volume and price movements across venues help you gauge confidence levels and spot opportunities where market assessments differ.

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks manage risk and profit margins by adjusting lines based on betting volume and liability, while prediction markets rely on trader consensus to discover prices. Prediction market participants often include informed specialists and long-term bettors willing to hold positions, whereas sportsbooks cater to casual bettors and adjust for sharp action. Over time, prediction markets can reflect deeper information, but sportsbook odds may move faster on breaking news. Comparing both sources provides a fuller picture of how the event is being valued.

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 naturally creates price variation. Polymarket and Kalshi may also have different market designs—such as order-book depth, minimum bet sizes, or promotional incentives—that influence how quickly prices converge. Geographic user bases, regulatory environments, and platform-specific trading tools can all contribute to temporary or sustained gaps. Additionally, traders on one venue may have access to information or analysis not yet reflected on the other, causing one market to lead price discovery. These differences typically narrow as informed traders arbitrage across platforms.

Key catalysts include team roster updates, injury announcements, recent form and head-to-head records, and any coaching or tactical changes. Weather conditions on match day, home-field advantage dynamics, and playoff implications can all shift trader sentiment. Media coverage and expert analysis often influence market prices as new information surfaces. Trading volume spikes typically occur closer to the event date as casual traders enter the market. Additionally, unexpected developments like lineup surprises or pre-match controversies can trigger sharp repricing. Monitoring team news and sports commentary will help you anticipate significant market moves.