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1st Round 3-Ball: Ewart/Kim/Fishburn
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Who will win the 1st Round 3-Ball: Ewart/Kim/Fishburn?

Volume:
$1,010

Patrick Fishburn beats Ewart and Kim

 - Kalshi

Patrick Fishburn beats Ewart and Kim - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 2:19 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

Patrick Fishburn beats Ewart and Kim

View
100%
Yes 100¢No 0¢
100¢
N/A
$310
N/A
N/A
$310
Settled
Yes
kalshi

Chan Kim beats Ewart and Fishburn

0%
Yes 0¢No 100¢
100¢
N/A
$700
N/A
N/A
$700
Settled
No
kalshi

A.J. Ewart beats Kim and Fishburn

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 players compete together during the first round of the 2026 John Deere Classic. The player with the lowest score for the round wins the matchup. This market tracks whether A.J. Ewart, Chan Kim, or Patrick Fishburn posts the best score among the three.

Kalshi

The winner of each 3-ball matchup is determined by the lowest score posted during the first 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 prior to teeing off, all related 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 matchup. The interface displays current implied probabilities for each outcome, along with 24-hour trading volume and historical price charts. Traders can monitor how sentiment shifts as new information emerges about the players and conditions. The dashboard also shows order depth and recent trades, giving participants visibility into market liquidity and conviction levels. This data helps traders assess whether current odds reflect fair value or present contrarian opportunities.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and operate under different constraints. Sportsbooks set odds to balance action and manage risk, while prediction markets reflect the aggregated beliefs of traders with real money at stake. This market may show different implied probabilities than traditional sports betting venues, particularly if one venue has sharper information flow or different participant demographics. Comparing the two can reveal where consensus is strongest and where outlier views persist, though each reflects its own market structure and incentive alignment.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers for each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of any outcome represents the marginal probability implied by the last executed trade, and spreads between bid and ask reflect available liquidity. As new information surfaces or trader conviction shifts, orders are matched and prices adjust in real time. This mechanism ensures that prices remain responsive to changing expectations and that traders can enter or exit positions throughout the market's lifetime.

This market resolves around Jul 2, 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, with no ambiguity in determining the winner. Traders should monitor the event schedule and any official announcements to stay informed as the resolution date approaches. Early closure or postponement would be reflected in platform guidance, so participants should check for updates if circumstances change.

Several factors could shift odds before resolution. Player form, recent tournament results, and head-to-head records may influence trader expectations. Course conditions, weather forecasts, and any schedule changes could also impact perceived advantage. Injury reports or withdrawal announcements would trigger sharp repricing. Media coverage and expert commentary may sway sentiment, especially if new analysis challenges prevailing assumptions. As the event date nears, late-breaking information about player preparation or equipment choices could drive final adjustments. Traders monitoring these signals often find profitable opportunities when the market reprices on fresh developments.