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$134.2b

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$134,145,987

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2,388,728,490

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$1,441,166,947

406,422

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2,688

PLATFORM COVERAGE:

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1st Round 3-Ball: Bhatia/Lee/Ortiz
kalshi

1st Round 3-Ball: Bhatia/Lee/Ortiz

Volume:
$11,157

Akshay Bhatia beats Lee and Ortiz

 - Kalshi

Akshay Bhatia beats Lee and Ortiz - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 19, 2026

Closed: Jun 19, 8:00 AM EST

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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

Akshay Bhatia beats Lee and Ortiz

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,808
N/A
N/A
$3,867
Settled
Yes
kalshi

Min Woo Lee beats Bhatia and Ortiz

0%
Yes 0¢No 100¢
100¢
N/A
$5,966
N/A
N/A
$5,458
Settled
No
kalshi

Carlos Ortiz beats Bhatia and Lee

0%
Yes 0¢No 100¢
100¢
N/A
$382
N/A
N/A
$322
Settled
No
Total markets: 3

Description

In a 3-ball golf competition format, three golfers compete together during the first round of the 2026 U.S. Open. The golfer with the lowest score for the round wins the 3-ball matchup. This market resolves based on which of the three competitors—Akshay Bhatia, Min Woo Lee, or Carlos Ortiz—posts the best score.

Kalshi

The winner of the 3-ball matchup is determined by the lowest score posted during the first round of the 2026 U.S. Open. If two or more participants tie for the lowest score, the Yes payout is divided equally among all tied participants, with each receiving $1/N rounded down to the nearest cent, where N equals the number of tied participants. The No payout equals $1 minus the Yes payout. If any golfer withdraws before teeing off, all markets resolve to fair market value.

Frequently asked questions

On Kalshi, the PGA Tour 3-ball matchup market dashboard tracks real-time odds and price movements for this specific grouping of three golfers competing together in the first round. The interface displays current market pricing, 24-hour trading volume, and historical price trends so traders can monitor how sentiment shifts as tournament conditions and player performance unfold. This dashboard gives you a live window into how prediction market participants are pricing the relative chances of each player's performance within their assigned threesome.

Prediction market odds often diverge from traditional sportsbook lines because they reflect real-time trader sentiment rather than fixed odds set by oddsmakers. On Kalshi, prices adjust continuously as new information emerges and traders adjust their positions. Sportsbooks typically move lines to manage liability, while prediction markets aggregate the collective beliefs of participants actively trading. This market can serve as a useful signal for comparing crowd-sourced probability estimates against conventional betting markets, though each operates under different incentive structures.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts reflecting their view of each player's performance in the threesome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from near zero to one dollar, with the midpoint reflecting the implied probability the market assigns to each outcome. As traders submit bids and asks, the market price updates in real time, allowing you to enter or exit positions at the prevailing rate. The spread between buy and sell prices reflects liquidity and trader conviction around the event.

This market resolves around Jun 18, 2026, once the first round of the PGA Tour event concludes and results are verified against credible public sources. The outcome is determined by the actual performance metrics of each player in their assigned 3-ball grouping during that round. Resolution hinges on official tournament scoring and standings published by the PGA Tour or the host event. Traders should monitor official leaderboards and tour communications as the event date approaches to anticipate how final results will be confirmed.

Several catalysts can shift prices before resolution. Recent player form, injury reports, and course conditions leading up to the tournament will influence trader positioning. Weather forecasts, practice round performances, and any changes to the field can trigger repricing. Media coverage highlighting one player's momentum or another's struggles often drives trading activity. Additionally, real-time scoring updates during the first round itself will cause rapid price movements as traders react to how each golfer actually performs on the course, making this market highly dynamic on tournament day.