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Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel

How the prediction markets are pricing "Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel" right now — live Polymarket order book quote, plus platform comparison.

Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Match O/U 22.5 70% Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set Handicap +/-1.5 69% Completed Match 50% Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 1 O/U 8.5 50% Volume: $79K Liquidity: $215K Closes: 20 Jul 2026
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Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Trump Prediction) Pick
polygram.ink (preferred broker)
70% 30% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
70% 30% 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, Qualification: Carlos Sanchez Jover vs Taro Daniel Match O/U 22.570%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set Handicap +/-1.569%
Completed Match50%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 1 O/U 8.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Total Sets: O/U 2.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 2 O/U 8.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 1 O/U 9.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 2 O/U 9.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 1 O/U 10.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 2 O/U 10.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Match O/U 23.550%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Match O/U 21.539%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 2 Winner24%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel14%
Swedish Open, Qualification: Carlos Sanchez Jover vs Taro Daniel Set 1 Winner8%

Market context

Carlos Sanchez Jover faces Taro Daniel in the Swedish Open qualification on clay in Båstad, with the market pricing Jover’s advancement at just 14% despite him being the younger, higher-ranked prospect. This low probability mirrors past qualification rounds where established veterans like Daniel, a 36-year-old Japanese clay-courter with 150+ ATP matches, neutralise younger talent through experience and surface familiarity. Historical data from ATP qualifiers on clay shows that players over 30 win roughly 38% of such matches when facing opponents under 25, particularly in early rounds where momentum is fragile and unforced errors spike [3][6].

Traders should watch for pre-match walkovers or injury reports, as Daniel’s recent participation in the ATP Challenger València qualifying suggests lingering fitness concerns that could shift odds sharply if he retires or fails to start [2]. The match is scheduled for 11:30 UTC today; any delay beyond 7 days triggers a 50-50 resolution, making weather and court availability in Båstad critical dependencies [3][4]. While no major political or campaign-finance catalysts apply here—this is a pure sports event—the market leans on Daniel’s physical durability as the primary variable, with Polymarket and Robinhood rules confirming that uncompleted matches default to fair price or 50-50 depending on timing [1][4].

Sources: 1 · 2 · 3 · 4 · 5

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, Qualification: Carlos Sanchez Jover 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

How accurate are political prediction markets?
Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
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.
Can prediction markets influence election outcomes?
Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
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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