TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Talia Gibson vs Qinwen Zheng: Set 1 Winner
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Talia Gibson vs Qinwen Zheng: Set 1 Winner

Volume:
$38,187

Talia Gibson

 - Kalshi

Talia Gibson - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 17, 2026

Closed: Jun 17, 1:41 PM EST

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Kalshi

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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

Talia Gibson

View
100%
Yes 100¢No 0¢
100¢
N/A
$27,170
N/A
N/A
$21,871
Settled
Yes
kalshi

Qinwen Zheng

0%
Yes 0¢No 100¢
100¢
N/A
$11,017
N/A
N/A
$5,665
Settled
No
Total markets: 2

Description

This market determines the winner of the first set in the professional tennis match between Talia Gibson and Qinwen Zheng at the 2026 WTA Nottingham Round of 16 on June 17. Bettors predict which player will win set 1 of this match.

Kalshi

The market resolves based on which player wins set 1 in the Gibson vs Zheng match at the 2026 WTA Nottingham Round of 16. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is 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 resolved to Fair Market Price at the Exchange's discretion.

Frequently asked questions

The dashboard for the Gibson vs Zheng Set 1 winner market on Kalshi tracks real-time odds and price movements as traders buy and sell shares tied to each player's chances of winning the opening set. You can monitor the current implied probability for both Talia Gibson and Qinwen Zheng, view historical price charts, and observe trading volume to gauge market sentiment. The interface displays 24-hour volume data alongside cumulative activity, helping you understand how actively this matchup is being traded and whether conviction is shifting toward either competitor as match time approaches.

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 lock in profit margins, while prediction markets aggregate the collective beliefs of traders risking real capital on outcomes. This market aggregates trader conviction about the set winner, which may differ from sportsbook pricing due to variations in information access, risk appetite, and market depth. Comparing the two can reveal where professional traders and casual bettors disagree on Gibson and Zheng's relative chances.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for 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 marginal probability assigned by the last matched trade, with the sum of both outcomes equaling $1.00. As new information emerges or trader sentiment shifts, the bid-ask spread widens or tightens, and prices adjust dynamically. You can enter limit or market orders to position yourself ahead of the match.

This market resolves around Jun 17, 2026, once the Gibson vs Zheng match concludes and the set winner is verified against credible public reporting. The outcome is determined by which player wins the first set in their matchup. No ambiguity exists in set outcomes—the player who reaches the required game count first claims the set and triggers resolution in favor of that outcome. Traders holding shares in the winning outcome receive their payout automatically.

Several factors can shift odds in this market before the match begins. Recent form, head-to-head records, and surface conditions will influence trader positioning as match day approaches. Injury reports or late withdrawals could trigger sharp repricing. Once play starts, real-time performance—break points converted, service hold rates, and momentum swings—will drive intraset trading. Weather delays or unexpected tactical adjustments may also prompt traders to reassess probabilities. Close set scores typically see the most volatile price action as the outcome remains genuinely uncertain.