Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
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.
| Outcome | Probability |
|---|---|
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 2 O/U 8.5 | 100% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 1 Winner | 100% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 1 O/U 8.5 | 100% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 1 O/U 9.5 | 100% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 2 O/U 9.5 | 100% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 2 O/U 10.5 | 100% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Match O/U 38.5 | 99% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Match O/U 40.5 | 99% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Match O/U 36.5 | 99% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Total Sets: O/U 3.5 | 90% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 4 Winner | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Total Sets: O/U 4.5 | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 3 O/U 8.5 | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 3 O/U 9.5 | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 3 O/U 10.5 | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 4 O/U 8.5 | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 4 O/U 9.5 | 75% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 4 O/U 10.5 | 75% |
| Completed Match | 70% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff | 69% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 3 Winner | 25% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set Handicap +/-1.5 | 20% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set Handicap +/-2.5 | 10% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 2 Winner | 0% |
| Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff Set 1 O/U 10.5 | 0% |
Market context
Brandon Nakashima faces Jan-Lennard Struff in the second round of Wimbledon on 1 July 2026, with the market pricing Nakashima as the likely winner to advance. The crowd-implied probability of 69% YES aligns closely with advanced models, such as Dimers’ prediction of an 80% win chance for Nakashima, suggesting the market is efficiently capturing his superior form after a dominant Queen’s Club performance [3][4].
Historically, second-round Wimbledon matches where one player enters with a fresh win and the other is fatigued from a five-setter often see the rested player win in four sets, mirroring the 78–80% probabilities seen in similar 2024 and 2025 clashes [2][3]. This precedent frames the current 69% as a conservative but rational assessment, given Nakashima’s No. 28 seed status and Struff’s recent physical toll.
Traders should monitor live set markets and any post-match injury declarations, as FanDuel’s set odds already favour Nakashima heavily in the first set [6]. The market leans on Nakashima’s momentum from Queen’s and Struff’s fatigue, with no external political or campaign-finance catalysts influencing this tennis-specific outcome; the primary watch is the match’s completion before the 2026 settlement window closes [1][5].
Methodology
This page tracks Wimbledon ATP: Brandon Nakashima vs Jan-Lennard Struff across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like Trump Prediction provide a 0%-fee route into the same order book.
Resolution & payout
For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.
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.
- 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.
- 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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