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%

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US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka
polymarket
limitless
kalshi

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka

Volume:
$541,524

Elina Svitolina

 - Kalshi

Elina Svitolina - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 28, 2026

Closed: Aug 30, 8:05 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

Elina Svitolina

View
100%
Yes 100¢No 0¢
100¢
N/A
$220,112
N/A
N/A
$143,533
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka

100%
27%
Yes 100¢No 0¢
0.1¢
N/A
$89,984
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set Handicap +/-1.5

100%
47%
Yes 100¢No 0¢
0.1¢
N/A
$282
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 1 Winner

100%
31%
Yes 100¢No 0¢
0.1¢
N/A
$134
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 2 Winner

100%
24%
Yes 100¢No 0¢
0.1¢
N/A
$7
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 1 O/U 8.5

100%
31%
Yes 100¢No 0¢
0.1¢
N/A
$2
N/A
N/A
N/A
Settled
Yes
kalshi

Solana Sierra

0%
Yes 0¢No 100¢
100¢
N/A
$230,997
N/A
N/A
$143,081
Settled
No
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Match O/U 22.5

0%
51%
Yes 0¢No 100¢
—
N/A
$3
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Match O/U 21.5

0%
44%
Yes 0¢No 100¢
—
N/A
$2
N/A
N/A
N/A
Settled
Yes
polymarket

Completed Match

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 2 O/U 8.5

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Total Sets: O/U 2.5

0%
32%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Game Spread +/-3.5

100%
39%
Yes 100¢No 0¢
0.9¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 2 O/U 9.5

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 1 O/U 9.5

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 2 O/U 10.5

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Set 1 O/U 10.5

0%
51%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

US Open, Qualification WTA: Kristina Liutova vs Martyna Kubka Match O/U 23.5

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
limitless

Elina Svitolina vs Solana Sierra: 22 or more total games?

N/A
N/A
99.8¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 19

Intro

This market tracks who will win the Elina Svitolina versus Solana Sierra match in the 2026 US Open Qualification WTA, with an aggregated consensus probability of 92.0% for Elina Svitolina and 9.0% for Solana Sierra, drawn from Polymarket, Limitless, and Kalshi, and resolved using Official WTA Tour statistics. The outcome will be confirmed by the end of the match window on August 31, 2026.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

All markets across Polymarket, Kalshi, and Limitless share consistent resolution logic based on official WTA Tour statistics, with clear rules for cancellations, retirements, and incomplete matches.Primary resolution logic: Official WTA Tour statistics

Core resolution logic:

  • Match outcomes are determined by the official winner as reported by the WTA Tour
  • Cancellations, retirements, and incomplete matches follow specific 50-50 or outcome-determined rules as described in each market
  • Total games, set winners, and game spreads are calculated based on completed games as reported by official statistics

Edge cases & clarifications:

  • Cancellation before play: Markets resolve 50-50 unless otherwise specified
  • Retirement during match: Markets resolve based on completed portion of play if outcome is unconditionally determined; otherwise 50-50
  • Walkover: Markets resolve 50-50 as specified in individual market rules
Timing: Resolution occurs by September 10, 2026, 11:59 PM ET for all markets, or when official statistics are published by the WTA TourOur PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This market refers to the tennis match between Kristina Liutova and Martyna Kubka in the US Open, Qualification WTA, originally scheduled for August 27, 2026 at 2:00PM ET. This market will resolve to 'Kristina Liutova' if Kristina Liutova advances against Martyna Kubka. This market will resolve to 'Martyna Kubka' if Martyna Kubka advances against Kristina Liutova. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 10, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the WTA Tour. A consensus of credible reporting may also be used.

Kalshi

Each market resolves to Yes only if the specified player wins the match after at least one ball has been played. If the match does not occur due to injury, walkover, forfeiture, or other cancellation before play begins, the market resolves to a fair price. Postponements or delays keep the market open until the rescheduled match concludes within two weeks. Kalshi disclaims any affiliation with the governing league, and all trademarks remain property of their respective owners.

Limitless

This market refers to the tennis match between Elina Svitolina and Solana Sierra in the WTA US Open, originally scheduled for August 30, 2026 at 15:00 UTC. This market will resolve to "YES" if the total number of games completed across all sets equals or exceeds 22. Otherwise, it will resolve to "NO." All tiebreaks—including any Champions/Super tiebreak—count as one (1) game toward the total. If the match begins but is not completed, this market will resolve 50-50. If the match is canceled before play begins or delayed beyond 7 days from the scheduled date without a result, this market will also resolve 50-50.

Frequently asked questions

The dashboard tracks the US Open WTA qualifier market across multiple venues, showing real-time prices, volume of $541,524, and 24-hour volume at $534,420. It aggregates data so you can see how traders on different platforms price the contest between the two players, with a consensus view emerging from collective betting activity.

Prediction market odds on this market often differ from traditional sportsbook lines due to the decentralized nature of trading. While sportsbooks may set their odds based on broader analyst forecasts, prediction markets reflect the actual beliefs and positions of individual traders, which can lead to more nuanced or volatile pricing depending on recent player performance and betting trends.

Injuries, weather delays, or last-minute form updates can all shift this market. Key moments like practice session reports, head-to-head history coming into focus, or betting surges from large traders may also cause price swings. Keep an eye on news leading up to the match, as sentiment can shift quickly based on any new information about the players' readiness or tactics.