TOTAL VOLUME:

$134b

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$103,397,351

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2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

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events

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2,622

PLATFORM COVERAGE:

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1st Round 3-Ball: Lebioda/Byrd/Yellamaraju
kalshi

Who will win the 1st Round 3-Ball: Lebioda/Byrd/Yellamaraju?

Volume:
$2,188

Jonathan Byrd beats Lebioda and Yellamaraju

 - Kalshi

Jonathan Byrd beats Lebioda and Yellamaraju - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 6:29 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

Jonathan Byrd beats Lebioda and Yellamaraju

View
100%
Yes 100¢No 0¢
100¢
N/A
$320
N/A
N/A
$320
Settled
Yes
kalshi

Sudarshan Yellamaraju beats Lebioda and Byrd

0%
Yes 0¢No 100¢
100¢
N/A
$1,868
N/A
N/A
$1,357
Settled
No
kalshi

Hank Lebioda beats Byrd and Yellamaraju

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 during the first round of the 2026 John Deere Classic, three golfers compete together and the player with the lowest score for the round wins the matchup. This market tracks whether Hank Lebioda, Jonathan Byrd, or Sudarshan Yellamaraju finishes with the best score in their grouping.

Kalshi

The winner of each 3-ball matchup is determined by the lowest score recorded during the 1st round of the 2026 John Deere Classic. 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 related markets resolve to fair market value.

Frequently asked questions

On Kalshi, the dashboard for the Lebioda/Byrd/Yellamaraju 3-Ball market displays real-time odds and price movements for this golf competition event. Traders can monitor current implied probabilities, 24-hour trading volume, and historical price trends to understand how market participants are pricing each competitor's chances. The interface provides a transparent view of order flow and contract valuations, allowing users to track how sentiment shifts as new information emerges about player performance and course conditions leading up to the event.

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 manage risk, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market may show different implied probabilities than major sportsbooks, particularly as new information surfaces or when one venue attracts more informed traders. Comparing the two can reveal where consensus is strongest or where outlier views exist in the betting ecosystem.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts representing each player's chances in the 3-ball competition. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Contract prices range from $0 to $1, with the midpoint reflecting the implied probability of that outcome. Liquidity and trading volume directly influence how tightly prices cluster around fair value, and larger trades may move the price more significantly in thinner markets. Real-time price discovery ensures that the most current information is reflected in the odds.

This market resolves around Jul 2, 2026, once the 3-ball competition concludes and results are verified against credible public sources. The outcome will be determined by the official tournament scoring and rankings released by the governing body. Traders should monitor official announcements and live coverage as the event date approaches to stay informed about any changes or developments that could affect the final result.

Several factors could shift odds in this market before resolution. Recent tournament performance, player injury reports, and course-condition updates are primary catalysts. Weather forecasts closer to the event date may influence perceptions of which player has an edge. Media coverage highlighting one competitor's form or historical performance on similar courses can also drive trading activity. Additionally, any changes to the field or official tournament details would prompt immediate repricing as traders reassess probabilities.