TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Talia Gibson vs Madison Keys: Set 1 Winner
kalshi

Talia Gibson vs Madison Keys: Set 1 Winner

Volume:
$14,083

Madison Keys

 - Kalshi

Madison Keys - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 23, 2026

Closed: Jun 23, 8:55 AM 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

Madison Keys

View
100%
Yes 100¢No 0¢
100¢
N/A
$10,814
N/A
N/A
$6,756
Settled
Yes
kalshi

Talia Gibson

0%
Yes 0¢No 100¢
100¢
N/A
$3,269
N/A
N/A
$3,113
Settled
No
Total markets: 2

Description

This market predicts the winner of the first set in the professional tennis match between Talia Gibson and Madison Keys at the 2026 WTA Eastbourne tournament Round of 32 on June 22.

Kalshi

The market resolves based on which player wins set 1 of the Talia Gibson vs Madison Keys match at the 2026 WTA Eastbourne Round of 32. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If postponed or delayed, the market remains open and closes after the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at Fair Market Price as determined by the Exchange.

Frequently asked questions

On Kalshi, the Gibson vs Keys Set 1 winner market dashboard tracks real-time odds and historical price movements for this tennis matchup. The interface displays current probabilities for each player to win the opening set, along with 24-hour trading volume and cumulative liquidity. Traders use this data to monitor shifting sentiment as match conditions, player form, and betting patterns evolve. The dashboard updates continuously during the trading window, allowing participants to time entries and exits based on live market signals and recent activity.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance liability and extract margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show higher or lower implied probability than traditional sports betting sites, depending on whether informed traders or casual bettors dominate activity. Comparing the two can reveal value opportunities, though prediction markets typically update faster as new information emerges.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing each 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 participants. As new orders flow in—driven by news, player updates, or shifting conviction—the bid-ask spread tightens or widens. Traders profit by predicting which player will win Set 1, with payouts tied directly to the final contract price at resolution.

This market resolves around Jun 22, 2026, once the Gibson vs Keys match concludes and Set 1 is complete. The outcome is determined by verified reporting from credible public sources covering professional tennis. The winner of the first set will be confirmed through official match records and major sports data providers. Resolution occurs shortly after the set finishes, allowing traders to settle positions and move capital to subsequent markets or events.

Several catalysts can shift odds in this market before resolution. Player injury reports, recent tournament performance, head-to-head records, and court surface preference all influence trader positioning. Weather conditions on match day, seeding announcements, and pre-match commentary from analysts can trigger rapid repricing. Late-breaking news about player fitness or mental readiness often sparks volume spikes. Additionally, early-match momentum—if available via live feeds—may prompt traders to adjust positions as Set 1 unfolds, though most trading typically occurs before play begins.