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:

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Orix Buffaloes vs Fukuoka Hawks: Spread
kalshi

Who will win the Orix Buffaloes vs Fukuoka Hawks game?

Volume:
$36,610

Fukuoka Hawks wins by over 1.5 runs

 - Kalshi

Fukuoka Hawks wins by over 1.5 runs - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 23, 2026

Closed: Jul 23, 8:34 AM EST

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

Fukuoka Hawks wins by over 1.5 runs

View
0%
Yes 0¢No 100¢
100¢
N/A
$22,525
N/A
N/A
$10,540
Settled
No
kalshi

Fukuoka Hawks wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$12,995
N/A
N/A
$6,670
Settled
No
kalshi

Orix Buffaloes wins by over 2.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$666
N/A
N/A
$628
Settled
No
kalshi

Orix Buffaloes wins by over 1.5 runs

0%
Yes 0¢No 100¢
100¢
N/A
$423
N/A
N/A
$423
Settled
No
Total markets: 4

Description

The Orix Buffaloes and Fukuoka Hawks play a Japan NPB baseball game on July 23, 2026. Bettors predict whether one team will win by a margin exceeding 1.5 or 2.5 runs, or whether the game will be closer.

Kalshi

Resolution depends on the final margin of victory in the Orix Buffaloes vs Fukuoka Hawks Japan NPB game scheduled for July 23, 2026 at 5:00 AM EDT. Separate markets track whether Fukuoka Hawks wins by more than 2.5 runs, Fukuoka Hawks wins by more than 1.5 runs, Orix Buffaloes wins by more than 1.5 runs, or Orix Buffaloes wins by more than 2.5 runs. Each outcome resolves independently based on the actual run differential at game conclusion.

Frequently asked questions

On Kalshi, the dashboard for the Orix Buffaloes vs Fukuoka Hawks spread displays real-time odds, historical price movements, and 24-hour trading volume. Traders use this data to monitor how the market is pricing the point differential between these two teams. The interface shows current bid-ask spreads, recent trade activity, and cumulative volume of $36,610 across all positions. This allows participants to assess market sentiment and liquidity before placing orders on this market.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the collective beliefs of traders betting real money on outcomes. Prediction markets typically incorporate breaking news and analytical shifts faster than traditional sportsbooks adjust their lines. For this matchup, comparing the implied probability from this market to major sportsbook spreads can reveal whether traders are pricing the game differently than professional oddsmakers.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for contracts tied to the spread outcome. 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 aggregate probability that traders assign to that spread range. As new information emerges—injury reports, recent team performance, or lineup changes—traders adjust their positions, moving the price. This dynamic pricing ensures the market continuously incorporates available information about the matchup.

This market resolves around Jul 23, 2026, once the game concludes and the final spread is verifiable from credible public sources. The outcome is determined by the actual point differential between the Orix Buffaloes and Fukuoka Hawks at the end of regulation play. Traders holding positions corresponding to the correct spread range will see their contracts settle at full value, while incorrect positions expire worthless. Resolution timing depends on the game's completion and official score confirmation.

Key catalysts include roster announcements, injury updates to star players, recent team performance trends, and head-to-head matchup history. Weather conditions on game day can also influence scoring dynamics and shift spread expectations. Media reports about team momentum, managerial strategy changes, or playoff implications may prompt traders to reassess their positions. Trading volume typically spikes closer to game time as casual bettors enter the market, potentially creating volatility in the final hours before this market closes.