TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
Fukuoka SoftBank Hawks vs. Saitama Seibu Lions
polymarket
kalshi

What is the result of Fukuoka SoftBank Hawks vs. Saitama Seibu Lions?

Volume:
$57,272

Fukuoka Hawks

 - Kalshi

Fukuoka Hawks - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 9, 2026

Closed: Jul 2, 7:29 AM 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

Fukuoka Hawks

View
100%
Yes 100¢No 0¢
100¢
N/A
$34,015
N/A
N/A
$29,171
Settled
Yes
polymarket

Fukuoka SoftBank Hawks vs. Saitama Seibu Lions

View
100%
Yes 100¢No 0¢
0.2¢
N/A
$1,289
N/A
N/A
N/A
Settled
Yes
kalshi

Saitama Seibu Lions

View
0%
Yes 0¢No 100¢
100¢
N/A
$21,968
N/A
N/A
$16,818
Settled
No
Total markets: 3

Description

This event group covers a single NPB (Nippon Professional Baseball) matchup between the Fukuoka SoftBank Hawks and Saitama Seibu Lions scheduled for July 2, 2026 at 5:00 AM EDT. Markets on Polymarket and Kalshi are pricing the outcome of this game, with resolution tied to which team wins.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic is self-contradictory: both possible outcomes (Lions win OR Hawks win) are mapped to Yes, leaving no valid No state. This makes the market logically unresolvable and creates settlement ambiguity.Hero tip: Avoid trading Kalshi until the market definition is corrected. The Polymarket version is logically sound and should be treated as the reference. Request clarification from Kalshi on whether this should be a binary Hawks vs Lions market or a Yes/No on Lions winning specifically.

Critical divergence points:

  • Polymarket: Clean binary outcome: Hawks win resolves to Hawks, Lions win resolves to Lions, with 50-50 split for tie/cancellation/postponement. Quote: 'If the Fukuoka SoftBank Hawks win, the market will resolve to Fukuoka SoftBank Hawks. If the Saitama Seibu Lions win, the market will resolve to Saitama Seibu Lions.'
  • Kalshi: Logically broken: both Hawks win AND Lions win are stated to resolve to Yes, creating a tautology with no No outcome. Quote: 'If Saitama Seibu Lions wins...resolves to Yes' AND 'If Fukuoka Hawks wins...resolves to Yes.' This violates binary market structure.
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 NPB game, scheduled for July 2 at 5:00AM ET: If the Fukuoka SoftBank Hawks win, the market will resolve to "Fukuoka SoftBank Hawks". If the Saitama Seibu Lions win, the market will resolve to "Saitama Seibu Lions". 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, or ends in a tie, this market will resolve 50-50.

Kalshi

Resolution is determined by the final result of the Saitama Seibu Lions vs Fukuoka Hawks Japan NPB game originally scheduled for July 2, 2026 at 5:00 AM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled beyond two days, the market resolves to a fair price per official rules. In the event of a tied game, the market resolves 50/50.

Frequently asked questions

This dashboard aggregates prediction market pricing for the Hawks vs. Lions matchup across Polymarket and Kalshi, two major platforms where traders forecast the outcome. You can monitor real-time odds, historical price movements, and cross-platform consensus as the event approaches. The aggregated view helps traders spot pricing inefficiencies and track how market sentiment evolves. Both platforms host the same underlying question but may price it differently based on their user base, liquidity, and trading mechanics, giving you a complete picture of where the prediction market stands.

Prediction markets like those tracked here operate on peer-to-peer trading rather than fixed odds set by a sportsbook. Traders buy and sell shares reflecting their belief in each outcome, and the market price converges toward the true probability over time. Sportsbooks, by contrast, set odds to balance their book and lock in profit margins. Prediction market prices often reflect sharper, more efficient forecasts because traders have direct financial incentive to price accurately. However, sportsbook odds may move faster intraday due to higher volume. Comparing this market's prices to major sportsbook lines can reveal where professional and retail traders diverge.

Polymarket and Kalshi operate under different regulatory frameworks, fee structures, and user demographics, all of which influence pricing. 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's liquidity pool, order-book depth, and trading incentives shape how quickly prices adjust to new information. Arbitrage traders work to close gaps, but temporary spreads persist due to withdrawal delays, platform-specific trading costs, and differences in how each venue handles order matching. Monitoring both platforms reveals which traders are more bullish or bearish and where smart money may be positioning ahead of the event.

Key catalysts include team roster updates, injury announcements, recent performance streaks, and head-to-head historical trends. Weather conditions on game day and venue factors can also shift trader sentiment. Media coverage and expert predictions often trigger repricing as new information reaches the market. Trading volume typically spikes closer to the event date as casual bettors enter. Any coaching changes, lineup surprises, or late-breaking news in the days before the matchup will likely drive sharp moves in this market, especially on whichever platform reacts fastest.