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1st Round 3-Ball: Hubbard/Todd/Gomez
kalshi

Who will win the 1st Round 3-Ball: Hubbard/Todd/Gomez?

Volume:
$953

Brendon Todd beats Hubbard and Gomez

 - Kalshi

Brendon Todd beats Hubbard and Gomez - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 12:51 PM 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

Brendon Todd beats Hubbard and Gomez

View
100%
Yes 100¢No 0¢
100¢
N/A
$270
N/A
N/A
$270
Settled
Yes
kalshi

Mark Hubbard beats Todd and Gomez

0%
Yes 0¢No 100¢
100¢
N/A
$683
N/A
N/A
$630
Settled
No
kalshi

Fabian Gomez beats Hubbard and Todd

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

Description

In a 3-ball golf competition format, three golfers compete together during the first round of the 2026 John Deere Classic. The golfer with the lowest score for the round wins the matchup. If a golfer withdraws before teeing off, all related markets resolve to fair market value.

Kalshi

The winner of each 3-ball matchup is determined by the lowest score recorded during the first round of the 2026 John Deere Classic. If two or more participants finish the round tied for the lowest score, the Yes payout is divided equally among all tied participants, calculated as $1 divided by the number of tied golfers and rounded down to the nearest cent, with the No payout representing the remainder. Any golfer who withdraws prior to teeing off triggers resolution of all markets at fair market value.

Frequently asked questions

On Kalshi, the dashboard for the Hubbard/Todd/Gomez 3-Ball match displays real-time odds and price movements as traders buy and sell shares tied to the outcome. You can monitor the current probability implied by the market, review historical price charts, and track 24-hour trading volume to gauge liquidity and interest. The interface updates continuously, letting you see how sentiment shifts as new information emerges about the competitors and match conditions. This live data helps traders make informed decisions about entry and exit timing throughout the event window.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets like this one aggregate the collective beliefs of traders risking real capital on outcomes. Traders in this market may incorporate specialized knowledge or contrarian views that sportsbooks haven't fully priced in. Over time, prediction market prices tend to converge toward actual results, making them a useful benchmark for comparing against traditional betting lines and assessing where public consensus may be mispriced.

On Kalshi, this market is priced through an order-book mechanism where buyers and sellers submit bids and offers for 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 marginal probability traders assign to that result, with active trading pushing prices toward equilibrium. As new information surfaces—such as player form, injury updates, or course conditions—traders adjust their positions, and the price adjusts accordingly. This continuous repricing ensures the market remains responsive and efficient throughout the event period.

This market resolves around Jul 2, 2026, once the match concludes and the result is verifiable from credible public sources. The outcome is determined by the official result of the competition, confirmed through established sports reporting channels. Until that point, traders can adjust positions as the event unfolds and new developments emerge. Resolution typically occurs within hours of the final result being announced, allowing the market to settle and payouts to be distributed to winning traders.

Several catalysts could shift prices in this market before resolution. Player performance updates, recent tournament results, or changes in course conditions may influence trader expectations. Weather forecasts closer to the event date often trigger repricing, as do any announcements regarding player fitness or withdrawal. Real-time match developments—such as early-round performance by any of the three competitors—will likely drive significant volume and volatility. Media coverage and expert commentary can also sway sentiment, particularly if new analysis challenges prevailing market expectations about relative skill or advantage.