TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
1st Round 3-Ball: Pendrith/Glover/Simpson
kalshi

Who will win the 1st round 3-ball: Pendrith/Glover/Simpson?

Volume:
$749

Lucas Glover beats Pendrith and Simpson

 - Kalshi

Lucas Glover beats Pendrith and Simpson - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 2, 2026

Closed: Jul 2, 1:19 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

Lucas Glover beats Pendrith and Simpson

View
100%
Yes 100¢No 0¢
100¢
N/A
$457
N/A
N/A
$457
Settled
Yes
kalshi

Taylor Pendrith beats Glover and Simpson

0%
Yes 0¢No 100¢
100¢
N/A
$247
N/A
N/A
$247
Settled
No
kalshi

Webb Simpson beats Pendrith and Glover

0%
Yes 0¢No 100¢
100¢
N/A
$45
N/A
N/A
$45
Settled
No
Total markets: 3

Description

In a 3-ball golf competition, three players compete together in the same group during a single round. The player with the lowest score for that round wins the matchup. This market covers the 1st round of the 2026 John Deere Classic featuring Taylor Pendrith, Lucas Glover, and Webb Simpson.

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 divided by the number of tied players, rounded down to the nearest cent; 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 players competing in the first round. The interface displays current market prices, 24-hour trading volume, and historical price charts that reflect how traders are positioning themselves on the outcome. This dashboard lets you monitor sentiment shifts and liquidity as the event approaches, giving you a transparent view of how the prediction market is pricing each player's performance relative to their competitors in the same grouping.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different mechanisms. Sportsbooks set lines to balance action and protect their margins, while prediction markets like this one are driven by trader consensus and real-money incentives to forecast accurately. This market aggregates the collective judgment of participants who profit by predicting the correct outcome, which can sometimes reveal information gaps or inefficiencies compared to sportsbook pricing. Comparing the two can highlight where public perception and market-based forecasting diverge most sharply.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the real-time odds for each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders profit by correctly predicting which player will perform best in the matchup, and their collective buying and selling pressure moves prices up or down. The market price reflects the aggregate belief of all participants at any given moment, with deeper liquidity typically supporting tighter spreads and more efficient price discovery as the event date nears.

This market resolves around Jul 2, 2026, once the first-round 3-ball competition concludes and results are verified against credible public sources. The outcome is determined by the actual performance and finishing position of the three players in the grouping during their round. Once the event is complete and official scoring is confirmed, the market settles based on which player achieved the best result in the matchup.

Several factors can shift prices in this market before resolution. Recent player form, course conditions, and weather forecasts leading up to the tournament are key catalysts. Injury reports or late withdrawals involving any of the three competitors would trigger sharp repricing. Media coverage highlighting one player's preparation or confidence can also influence trader sentiment. Additionally, early-round scoring updates from other tournaments or practice rounds may provide fresh information that traders incorporate into their positions, causing notable price swings as the event date approaches.