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 |
|---|---|
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski | 100% |
| Completed Match | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 1 O/U 8.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 2 Winner | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Total Sets: O/U 2.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 2 O/U 8.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 1 O/U 9.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Match O/U 21.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 2 O/U 9.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 1 O/U 10.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Match O/U 22.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 2 O/U 10.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Match O/U 23.5 | 100% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set 1 Winner | 0% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set Handicap +/-1.5 | 0% |
| Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski Set Handicap +/-1.5 | 0% |
Market context
Mathys Erhard’s meeting with Olaf Pieczkowski in Grodzisk Mazowiecki is on the schedule for 4 August 2026, with live scoreboards listing the ATP Challenger match on outdoor hard courts and giving Erhard the higher ranking of the two at roughly ATP No. 383 versus Pieczkowski around No. 643.[1][8] That gap helps explain why the market is trading at a 100% yes price for Erhard: in lower-tier Challenger events, the favoured player often starts with the clearer path if the draw is orderly and there is no late withdrawal or retirement.[1][3]
The main historical frame is that these markets are usually less about a single headline rating gap than about whether the fixture is actually completed on time. Comparable Challenger ties can flip from a routine favourite setup to a 50-50 settlement only if the match is not played, is abandoned, or is pushed beyond the seven-day window in the rules; otherwise, a clean result usually resolves in line with the on-court winner.[1][3] There is also limited head-to-head evidence to lean on here, with aggregator pages indicating no established prior professional meeting, which increases reliance on current form and draw context rather than past matchup history.[5]
For traders, the catalyst is simply whether the match goes ahead as listed and whether either side withdraws before or during play; the pricing is effectively leaning on scheduling certainty rather than a political-style news cycle.[1][11] The most relevant live indicators are the ATP draw page, the event scoreboard, and any same-day update from tournament coverage if court order or weather disrupts play.[9][11] With both players’ listings already published and the match time shown on multiple score services, any late change to the order of play or a walkover would matter more to settlement than incremental performance news.[1][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 Grodzisk Mazowiecki: Mathys Erhard vs Olaf Pieczkowski 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
- 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.
- 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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