TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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1st Round 3-Ball: Holtz/Oiwa/Wu
kalshi

1st Round 3-Ball: Holtz/Oiwa/Wu

Volume:
$2,613

Dylan Wu beats Holtz and Oiwa

 - Kalshi

Dylan Wu beats Holtz and Oiwa - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 18, 2026

Closed: Jun 18, 4:30 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

Dylan Wu beats Holtz and Oiwa

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,588
N/A
N/A
$2,588
Settled
Yes
kalshi

Brandon Holtz beats Oiwa and Wu

0%
Yes 0¢No 100¢
100¢
N/A
$25
N/A
N/A
$25
Settled
No
kalshi

Ryuichi Oiwa beats Holtz and Wu

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This market determines the winner of a 3-ball golf competition featuring Brandon Holtz, Ryuichi Oiwa, and Dylan Wu during the first round of the 2026 U.S. Open. The golfer with the lowest score at the end of the round wins the matchup.

Kalshi

The winner of the 3-ball matchup is determined by the lowest score at the end of the round. If multiple participants tie for the lowest score, each tied participant receives an equal share of the Yes payout, calculated as $1 divided by the number of tied participants and rounded down to the nearest cent, with the No payout adjusted accordingly. If any golfer withdraws prior to teeing off, all markets resolve to fair market value.

Frequently asked questions

On Kalshi, the 1st Round 3-Ball match market dashboard tracks real-time odds and price movements for this competitive matchup. The interface displays current market probability, historical price charts, and trading volume data that reflect how traders are pricing the outcome. You can monitor shifts in sentiment as new information emerges about the players and match conditions. The dashboard updates continuously during active trading hours, giving you a live window into how the prediction market is valuing each possible result throughout the event window.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market aggregates decentralized trader conviction, which can lead to sharper or earlier price discovery than conventional betting lines. Comparing the two can reveal where consensus differs and highlight potential value opportunities for informed bettors.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective assessment of all active traders, with bids and asks converging around the true probability as new information arrives. Liquidity and trading volume influence how quickly prices adjust, and wider spreads may appear during low-activity periods. Your ability to enter or exit a position depends on available orders at your desired price level.

This market resolves around Jun 18, 2026, once the 1st Round 3-Ball match concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the official match result, ensuring accuracy and fairness for all traders. Until that point, prices may fluctuate as new developments and player performance data emerge. Resolution typically occurs within hours of the final result being announced.

Several factors could shift prices in this market before resolution. Player form, recent performance statistics, and any injury or lineup announcements will influence trader sentiment. Pre-match commentary from analysts and expert predictions may also trigger repricing as new information becomes public. Real-time match developments—such as early performance, momentum shifts, or unexpected tactical adjustments—typically drive the most significant price movements. Weather conditions, venue factors, and last-minute roster changes are additional catalysts traders monitor closely leading up to and during the event.