TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal
polymarket
kalshi

Who will win Sophie Luescher vs Lucia Natal?

Volume:
$280,672

Lucia Natal

 - Kalshi

Lucia Natal - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 9, 2026

Closed: Jul 9, 6:41 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

Lucia Natal

View
100%
Yes 100¢No 0¢
100¢
N/A
$148,970
N/A
N/A
$51,300
Settled
Yes
polymarket

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Total Sets: O/U 2.5

100%
Yes 100¢No 0¢
0.9¢
N/A
$5
N/A
N/A
N/A
Settled
Yes
kalshi

Sophie Luescher

0%
Yes 0¢No 100¢
100¢
N/A
$125,814
N/A
N/A
$71,890
Settled
No
polymarket

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal

0%
Yes 0¢No 100¢
—
N/A
$5,883
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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 1 Winner

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 2 Winner

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 1 O/U 8.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 2 O/U 8.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Match O/U 21.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set Handicap +/-1.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal 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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Match O/U 22.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 2 O/U 9.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 1 O/U 10.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Set 2 O/U 10.5

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

ITF Kursumlijska Banja: Sophie Luescher vs Lucia Natal Match O/U 23.5

100%
Yes 100¢No 0¢
0.1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 17

Description

This event group covers a professional tennis match between Sophie Luescher and Lucia Natal at the ITF Women's W15 Kursumlijska Banja tournament, scheduled for July 8, 2026. Markets span match winner, set winners, game totals, and completion status across Polymarket and Kalshi platforms.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket and Kalshi differ in scope and handling of incomplete/forfeit scenarios. Polymarket provides granular 50-50 resolution for walkovers, cancellations, and delays; Kalshi uses a minimal 'ball played' binary framework without explicit forfeit/cancellation rules.Hero tip: For Polymarket match-winner and subset markets, rely on the detailed 50-50 rules for walkovers and cancellations. For Kalshi, clarify whether 'after a ball has been played' covers retirement/default scenarios or only completed matches. Cross-reference official ITF statistics published within 2 hours of match conclusion to avoid ambiguity.

Critical divergence points:

  • Polymarket: Comprehensive match-outcome framework. Match winner resolves to advancing player if retirement/default/disqualification occurs mid-match. Walkovers resolve 50-50. Cancellations, ties, or delays beyond 7 days without winner resolve 50-50. Subset markets (set winners, game totals) also use 50-50 for incomplete sets or match cancellation. Primary source: Official ITF information or credible reporting consensus. Key Quote: 'If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50.'
  • Kalshi: Minimal binary framework. Market resolves Yes if either player wins 'after a ball has been played' in Round of 32. No explicit resolution rules for walkovers, retirements, cancellations, or incomplete matches. Ambiguity exists around whether 'ball played' covers forfeits or only completed play. Key Quote: 'If Sophie Luescher wins the Luescher vs Natal professional tennis match in the 2026 W15 Kursumlijska Banja Round of 32 after a ball has been played, then the market resolves to Yes.'
Our 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 Sophie Luescher and Lucia Natal in the ITF Women Kursumlijska Banja, originally scheduled for July 8, 2026 at 2:30AM ET. This market will resolve to 'Sophie Luescher' if Sophie Luescher advances against Lucia Natal. This market will resolve to 'Lucia Natal' if Lucia Natal advances against Sophie Luescher. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, 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 International Tennis Federation (ITF). A consensus of credible reporting may also be used.

Kalshi

Resolution requires that a ball be played in the match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, all markets resolve to $0.50. If a player withdraws or forfeits after play has started, that player's market resolves to No. If the match is postponed or delayed, markets remain open and resolve after the rescheduled match concludes within two weeks. Each player's market resolves to Yes if that player wins the completed match.

Frequently asked questions

Prediction markets like Polymarket and Kalshi operate on crowd-sourced pricing: traders buy and sell shares reflecting their belief in an outcome, and the market price becomes the odds. Unlike traditional sportsbooks, which set fixed lines and manage risk through juice or vigorish, prediction markets aggregate distributed information from many participants. This often produces sharper, more responsive pricing—especially for niche events like ITF tennis matches where sportsbook coverage is sparse. However, prediction markets typically have lower liquidity than major sportsbooks, so large bets may move prices more dramatically. For this specific matchup, comparing the implied probabilities here to any available sportsbook lines can reveal value opportunities.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Platform design, user demographics, and liquidity distribution create natural price divergence. Polymarket uses an automated market maker (AMM) model, which can produce different equilibrium prices than Kalshi's order-book mechanism. Kalshi's regulatory framework and user base may also weight certain information differently. Additionally, the two platforms attract traders with varying risk appetites and time horizons—some users may be more confident in Luescher's chances on one venue than the other. These differences typically narrow as arbitrageurs trade across both platforms, but temporary gaps persist, especially in lower-volume sports markets. Monitoring both venues helps you identify mispricings before consensus tightens.