TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Safiullin vs Van de Zandschulp
kalshi
predict

Who will win Safiullin vs Van de Zandschulp?

Volume:
$4,347,828

Roman Safiullin

 - Kalshi

Roman Safiullin - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 1:00 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

Roman Safiullin

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,456,273
N/A
N/A
$1,099,175
Settled
Yes
kalshi

Botic Van de Zandschulp

0%
Yes 0¢No 100¢
100¢
N/A
$1,891,494
N/A
N/A
$688,676
Settled
No
predict

Wimbledon ATP: Roman Safiullin vs Botic van de Zandschulp

N/A
N/A
—
$99
$62
N/A
N/A
N/A
Settled
No
Total markets: 3

Intro

This market tracks the outcome of the professional tennis match between Roman Safiullin and Botic van de Zandschulp in the 2026 Wimbledon Men's Singles Round of 64. Aggregated across Kalshi and Predict, the consensus probability for van de Zandschulp to win stands at 59.0%. Resolution will be determined by the official result of the match scheduled for July 1, 2026, with markets settling based on which player advances from this first-round encounter.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi uses a binary Yes/No framework requiring only a ball to be played, while Predict uses a three-outcome model (Player A / Player B / 50-50) with explicit edge-case rules for cancellations, delays beyond 7 days, and walkovers. The platforms diverge on how incomplete matches, walkovers, and extended delays are handled.Hero tip: Before the match, confirm with Kalshi whether walkovers (pre-match withdrawals) and delays beyond 7 days without completion trigger a Yes resolution or remain unresolved. Predict's 50-50 outcome for these scenarios may not map to Kalshi's binary structure. Monitor official ATP Tour sources and cross-reference both platforms' settlement announcements on or shortly after July 1, 2026.

Critical divergence points:

  • Kalshi: Binary Yes/No resolution. Resolves to Yes if either Safiullin or Van de Zandschulp wins after a ball has been played. No explicit handling of walkovers, cancellations, or delays. Key Quote: 'after a ball has been played, then the market resolves to Yes.'
  • Predict: Three-outcome resolution (Safiullin / Van de Zandschulp / 50-50). Resolves to advancing player if match is played; resolves 50-50 for cancellations, ties, delays beyond 7 days without completion, or walkovers. Resolves to advancing player if match begins but incomplete due to retirement/default/disqualification. Key Quote: '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.'
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.

Kalshi

The market covers the Safiullin vs Van de Zandschulp professional tennis match at 2026 Wimbledon Men's Singles Round of 64. Resolution requires that a ball has been played to confirm the match occurred. If the match does not occur before play begins due to injury, walkover, forfeiture, or other 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.

Predict

This market refers to the tennis match between Roman Safiullin and Botic van de Zandschulp in the Wimbledon ATP, originally scheduled for July 1, 2026 at 6:00AM ET. This market will resolve to 'Roman Safiullin' if Roman Safiullin advances against Botic van de Zandschulp. This market will resolve to 'Botic van de Zandschulp' if Botic van de Zandschulp advances against Roman Safiullin. 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 ATP Tour. A consensus of credible reporting may also be used.

Frequently asked questions

Prediction markets and traditional sportsbooks price the same event differently because they operate under distinct mechanisms. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets derive prices from trader consensus—what participants collectively believe will happen. This market reflects pure crowd forecasting without a built-in margin, often making prediction odds more efficient at capturing true probability. However, sportsbook odds benefit from professional oddsmakers' expertise and real-time adjustment to sharp money. Comparing this market's implied probability to major sportsbook lines can reveal where public perception and professional assessment diverge.

Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Platform differences in liquidity, user base composition, and fee structures can create temporary price gaps even when tracking the same match outcome. Kalshi may attract different trader demographics or have higher trading volume in tennis markets, pushing odds in one direction. Predict might see different information flow or risk appetite among its participants. These divergences typically narrow as arbitrageurs exploit the spread, but during low-volume periods or ahead of major news, meaningful gaps can persist. Monitoring both platforms helps you identify mispricing opportunities and understand which venue has fresher or more confident pricing.