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San Marino: Daniel Rincon vs Juan Carlos Prado

How the prediction markets are pricing "San Marino: Daniel Rincon vs Juan Carlos Prado" right now — live Polymarket order book quote, plus platform comparison.

San Marino: Daniel Rincon vs Juan Carlos Prado Set 2 Winner 100% San Marino: Daniel Rincon vs Juan Carlos Prado Set 1 O/U 8.5 100% San Marino: Daniel Rincon vs Juan Carlos Prado Set 2 O/U 8.5 100% San Marino: Daniel Rincon vs Juan Carlos Prado Set 1 O/U 9.5 100% Volume: $370K Liquidity: $205K Closes: 3 Aug 2026
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San Marino: Daniel Rincon vs Juan Carlos Prado

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
San Marino: Daniel Rincon vs Juan Carlos Prado Set 2 Winner100%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 1 O/U 8.5100%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 2 O/U 8.5100%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 1 O/U 9.5100%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 2 O/U 9.5100%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 2 O/U 10.5100%
San Marino: Daniel Rincon vs Juan Carlos Prado Match O/U 21.579%
San Marino: Daniel Rincon vs Juan Carlos Prado Total Sets: O/U 2.575%
San Marino: Daniel Rincon vs Juan Carlos Prado Match O/U 22.575%
San Marino: Daniel Rincon vs Juan Carlos Prado Match O/U 23.575%
Completed Match50%
San Marino: Daniel Rincon vs Juan Carlos Prado49%
San Marino: Daniel Rincon vs Juan Carlos Prado Set Handicap +/-1.526%
San Marino: Daniel Rincon vs Juan Carlos Prado Set Handicap +/-1.525%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 1 Winner0%
San Marino: Daniel Rincon vs Juan Carlos Prado Set 1 O/U 10.50%

Market context

Daniel Rincon and Juan Carlos Prado are scheduled to compete in a tennis match at the San Marino event on 27 July 2026. The market currently prices Rincon's advancement at 61 per cent, suggesting moderate confidence in his progression past Prado. The settlement window closes on 3 August 2026, allowing a week for the match to conclude; any cancellation, tie, or delay beyond that threshold triggers a 50-50 resolution.

Rincon's favoured status reflects typical patterns in lower-tier professional tennis where ranking differential and recent form carry substantial predictive weight. Players competing in San Marino events typically occupy ATP Challenger or ITF rankings, where head-to-head records and surface preference—clay courts dominate San Marino tournaments—prove decisive. Historical data from comparable Challenger-level matches shows that the higher-ranked entrant advances roughly 65–70 per cent of the time, placing the current 61 per cent probability slightly conservative relative to baseline expectations.

Traders should monitor official ATP or ITF tournament updates for any withdrawal announcements, which remain common in lower-tier events where players manage injury recovery or schedule conflicts. Weather conditions in late July could affect clay-court play, potentially forcing rescheduling within the settlement window. Recent form indicators—tournament results from June and early July—will clarify whether either player enters with momentum shifts that might challenge the ranking-based baseline. The ATP or ITF official websites will publish final draw confirmations and any scheduling changes as the event date approaches.

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 San Marino: Daniel Rincon vs Juan Carlos Prado 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.
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.
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.
Which political events have the biggest volume?
US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.
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Related Topics

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