Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
59% | 41% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
59% | 41% | 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.
| Outcome | Probability |
|---|---|
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Match O/U 23.5 | 59% |
| Completed Match | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Match O/U 21.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 1 O/U 8.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 2 O/U 8.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 1 O/U 9.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Match O/U 22.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 2 O/U 9.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 1 O/U 10.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 2 O/U 10.5 | 50% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Total Sets: O/U 2.5 | 42% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set Handicap +/-1.5 | 42% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 1 Winner | 36% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton Set 2 Winner | 30% |
| Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton | 24% |
Market context
Alejandro Tabilo and Ben Shelton are set to meet in the Mubadala Citi DC Open quarter-finals, with Shelton the market’s clear side despite the current crowd-implied probability sitting at 26% for Tabilo. Reuters reported Shelton rallied past Ugo Humbert in the previous round and is now facing Tabilo, who beat Terence Atmane to reach this stage.[6] Tennis.com also lists the matchup as a quarter-final in Washington, confirming the event context and that the result will depend on who advances rather than a completed-set outcome alone.[2]
The probability is easier to read against the broader draw context than as a pure head-to-head question. Tennis Majors notes that Tabilo and Shelton had not met previously on the ATP Tour, so there is no direct recent head-to-head record to anchor expectations.[1] The best comparison is form and surface: Shelton’s profile on outdoor hard courts has been stronger, and market previews consistently frame him as the favourite because of his top-tier ranking, serve, and harder-court results, while Tabilo’s path here has come via a more modest baseline of season-long form.[4][5] In that sense, 26% looks like a meaningful underdog price rather than a market expecting a close coin-flip.
The main catalysts for traders are match scheduling, any pre-match withdrawal, and live completion risk if weather or delays intervene. Reuters’ latest round-up shows the match was still on the quarter-final slate after Shelton’s win over Humbert, so the most important near-term driver is whether the contest actually starts and reaches a winner within the settlement window.[6] If there is a postponement beyond seven days or the match is abandoned without an advancing player, the market resolves to 50-50, so late tournament scheduling and court availability matter as much as the players’ form.[2]
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 Mubadala Citi DC Open: Alejandro Tabilo vs Ben Shelton 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.
- 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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