TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

Markets across

30,489

events

MATCHED EVENTS:

2,691

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
1st Round 3-Ball: Theegala/Koivun/Kim
kalshi

1st Round 3-Ball: Theegala/Koivun/Kim

Michael Kim beats Theegala and Koivun

 - Kalshi

Michael Kim beats Theegala and Koivun - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 18, 2026

Closed: Jun 18, 4:30 PM 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

Michael Kim beats Theegala and Koivun

View
100%
Yes 100¢No 0¢
100¢
N/A
$533
N/A
N/A
$505
Settled
Yes
kalshi

Jackson Koivun beats Theegala and Kim

0%
Yes 0¢No 100¢
100¢
N/A
$2,354
N/A
N/A
$2,330
Settled
No
kalshi

Sahith Theegala beats Koivun and Kim

0%
Yes 0¢No 100¢
100¢
N/A
$1,906
N/A
N/A
$1,879
Settled
No
Total markets: 3

Description

This market determines the winner of a 3-ball golf competition featuring Sahith Theegala, Jackson Koivun, and Michael Kim 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 PGA Tour 3-ball matchup market dashboard tracks real-time odds and price movement for this specific first-round pairing involving Theegala, Koivun, and Kim. The interface displays current market probability, 24-hour trading volume, and historical price data so traders can monitor how sentiment shifts as tournament conditions and player performance unfold. This dashboard lets you see which outcomes attract the most trading activity and how quickly odds adjust to breaking news or course updates during competition.

Prediction market odds often diverge from traditional sportsbook lines because they reflect real-time trader conviction rather than fixed betting spreads. On this market, participants continuously adjust prices based on live tournament data, player form, and course conditions, whereas sportsbooks typically lock lines until adjustment windows. Prediction markets can be more responsive to late-breaking information, though sportsbook odds benefit from professional oddsmakers' deep statistical models. Both venues aim to price the same outcome, but the mechanisms and update frequency differ significantly.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each possible 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 probability assigned by active traders; as new information emerges during the tournament, participants adjust their bids and offers, moving the market price in real time. This dynamic pricing ensures the odds stay current with tournament developments and player performance throughout the first round.

This market resolves around Jun 18, 2026, once the first-round 3-ball competition concludes and results are verified against credible public sources. The outcome is determined by the official PGA Tour scoring and leaderboard data published after play ends. Resolution hinges on which player or players achieve the specified result in this matchup, confirmed through standard tournament reporting channels.

Key catalysts include live scoring updates during the tournament round, player performance relative to course conditions, and any weather delays or course adjustments that affect strategy. Injury reports or last-minute lineup changes before play begins can also shift odds sharply. Real-time leaderboard movement, particularly if one player pulls ahead early, typically drives significant trading volume and price adjustments as traders reassess probabilities based on actual play rather than pre-tournament expectations.