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Swedish Open: Botic van de Zandschulp vs Taro Daniel

How the prediction markets are pricing "Swedish Open: Botic van de Zandschulp vs Taro Daniel" right now — live Polymarket order book quote, plus platform comparison.

Swedish Open: Botic van de Zandschulp vs Taro Daniel 100% Completed Match 100% Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 2 O/U 8.5 100% Swedish Open: Botic van de Zandschulp vs Taro Daniel Match O/U 21.5 100% Volume: $188K Liquidity: $592K Closes: 21 Jul 2026
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Swedish Open: Botic van de Zandschulp vs Taro Daniel

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Trump Prediction) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
100% 0% 0% Geo-blocked in US/UK/EU USDC, on-chain Live odds →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Live odds →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Live odds →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Live odds →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
Swedish Open: Botic van de Zandschulp vs Taro Daniel100%
Completed Match100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 2 O/U 8.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Match O/U 21.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 1 O/U 8.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 1 Winner100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 2 O/U 9.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Match O/U 22.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set Handicap +/-1.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 2 Winner100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 1 O/U 9.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 1 O/U 10.5100%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Total Sets: O/U 2.50%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set Handicap +/-1.50%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Set 2 O/U 10.50%
Swedish Open: Botic van de Zandschulp vs Taro Daniel Match O/U 23.50%

Market context

Botic van de Zandschulp, the Dutch player ranked around 80th on the ATP tour, faces Taro Daniel of Japan in an early-round match at the Swedish Open in Bastad during mid-July 2026. The 89% implied probability favours van de Zandschulp, reflecting his higher ranking and recent form relative to Daniel, who typically competes outside the top 100. The match is scheduled for 6:30AM ET on 14 July, with settlement contingent on a decisive result by 21 July.

Van de Zandschulp's record against lower-ranked opponents and his performance on clay courts—the Swedish Open's surface—provides the foundation for the market's confidence. He has shown consistency in ATP 250 events, though his conversion rate in early rounds varies considerably. Daniel has competed sporadically at this level and lacks recent momentum in comparable tournaments. Historical matchups between players of their respective rankings show the higher-ranked player advances roughly 75–80% of the time, yet upsets remain frequent enough to justify the 11% tail probability.

Traders should monitor official ATP scheduling confirmations and any late withdrawals, as the tournament runs 14–20 July with potential weather delays common in Sweden during summer. Court assignments and match timing can affect preparation and fatigue levels. Any injury announcements from either player's camp in the week preceding the match would materially shift the probability, particularly for van de Zandschulp given his injury history. The settlement window extends to 21 July at 10:30AM UTC, allowing one day beyond the scheduled tournament conclusion for completion.

Methodology

Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for Swedish Open: Botic van de Zandschulp vs Taro Daniel plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.

Resolution & payout

Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.

Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.

FAQ

What resolution source is used for elections?
Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
Which platform has the deepest political liquidity?
Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Trump Prediction route into the same order book at 0% fees.
How fast do political markets react to news?
High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
Are political prediction markets legal in my country?
It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.
Why do Polymarket and Kalshi differ on elections?
Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.
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