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Warsaw: Elena Micic vs Veronika Podrez

How the prediction markets are pricing "Warsaw: Elena Micic vs Veronika Podrez" right now — live Polymarket order book quote, plus platform comparison.

Completed Match 100% Warsaw: Elena Micic vs Veronika Podrez Set 1 O/U 8.5 100% Warsaw: Elena Micic vs Veronika Podrez Set 2 O/U 8.5 100% Warsaw: Elena Micic vs Veronika Podrez Match O/U 21.5 100% Volume: $307K Closes: 10 Aug 2026
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Warsaw: Elena Micic vs Veronika Podrez

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
Completed Match100%
Warsaw: Elena Micic vs Veronika Podrez Set 1 O/U 8.5100%
Warsaw: Elena Micic vs Veronika Podrez Set 2 O/U 8.5100%
Warsaw: Elena Micic vs Veronika Podrez Match O/U 21.5100%
Warsaw: Elena Micic vs Veronika Podrez Set 2 O/U 9.5100%
Warsaw: Elena Micic vs Veronika Podrez Set 2 O/U 10.5100%
Warsaw: Elena Micic vs Veronika Podrez Set Handicap +/-1.5100%
Warsaw: Elena Micic vs Veronika Podrez0%
Warsaw: Elena Micic vs Veronika Podrez Set 2 Winner0%
Warsaw: Elena Micic vs Veronika Podrez Set 1 Winner0%
Warsaw: Elena Micic vs Veronika Podrez Total Sets: O/U 2.50%
Warsaw: Elena Micic vs Veronika Podrez Set 1 O/U 9.50%
Warsaw: Elena Micic vs Veronika Podrez Set Handicap +/-1.50%
Warsaw: Elena Micic vs Veronika Podrez Set 1 O/U 10.50%
Warsaw: Elena Micic vs Veronika Podrez Match O/U 22.50%
Warsaw: Elena Micic vs Veronika Podrez Match O/U 23.50%

Market context

The Warsaw match between Elena Micic and Veronika Podrez is being priced as effectively a dead heat, with the market sitting at **0% YES** and therefore leaning on the view that neither side has a clear edge. Micic’s public records show a modest pro level résumé rather than a breakout record: her WTA profile and tennis databases list no WTA singles titles, a career singles record around the low-80s in wins and mid-80s in losses, and a best ranking in the mid-300s to low-400s range, which is typical of players who can be competitive in ITF and qualifying rounds but are still volatile from match to match.[1][2][5][6][7]

Comparable cases in women’s lower-tier and qualifying tennis often move sharply on draw placement, late withdrawals, and whether a player is already in form on the relevant surface. Micic’s recent match logs show an active schedule across hard-court and lower-level events, but not enough consistency to anchor a strong pre-match price; that makes any opponent-specific information, including Podrez’s entry status and the finalised draw, more important than season-long averages.[5][8][12] In this kind of market, a zero-yes probability usually reflects the possibility that the contest may not be completed as scheduled, or that the listed players may not ultimately meet at all.

The main catalysts to watch are the official order of play, any last-minute withdrawals, and whether the match is actually held within the settlement window, since a cancellation or a delay beyond seven days would push resolution to 50-50 under the market rules. The most useful live reference point is the WTA’s player and competition updates, with match-status reporting from established tennis results desks such as ESPN or Flashscore if the tournament feed changes late.[1][2][8] In practical terms, the market is leaning on *availability risk* more than on a decisive form signal, so any confirmed start time or walkover notice is likely to matter more than pre-event ranking chatter.

Sources: 1 · 2 · 3 · 4 · 5

Methodology

This page tracks Warsaw: Elena Micic vs Veronika Podrez 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

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.
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.
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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Related Topics

Tennis Prediction Markets