Germany vs. Côte d'Ivoire - Total Corners

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Active sub-markets

Market context

Germany and Côte d’Ivoire are playing a World Cup group match, and the corners market is already priced as if a high-volume set-piece game is the baseline. A 100% yes implies the crowd expects the combined tally to clear the listed threshold comfortably, so a programme built around this market would typically treat the current price as effectively saturated and focus on whether late information can still move the distribution rather than the direction.

The main reference point is Germany’s corner profile. In the World Cup opener against Curaçao, Germany produced a lopsided shot and territory advantage, with one reported stat line showing 65% possession, 27 attempts and 8 corners to 1.[10] Preview coverage also highlighted Joshua Kimmich, Florian Wirtz and David Raum as the primary corner takers, which matters for any model that weights delivery quality and repeatable dead-ball volume.[1] For a trader using bots or conditional orders, that makes the relevant inputs simple: starting line-up, full-back selection, and whether Germany are likely to control the ball for long phases. Head-to-head history is thin, with only one recorded meeting in available data, so comparable-team form is more useful than direct precedent.[7]

The catalysts to watch are team news, tactical rotation and any indication that Germany will keep their first-choice wide delivery options on the pitch.[1] Recent match coverage from CBS Sports also noted Germany’s strong set-piece execution and set-piece pressure as a live betting angle, which is the same mechanism that tends to drive corners rather than goals.[5] For a programmatic approach, the key dependency is whether the line-up preserves corner volume generators; if Germany name an aggressive XI and dominate possession early, the market’s yes side stays mechanically supported, while a more conservative setup or an early lead could cap second-half corner accumulation.[1][5]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

We track Germany vs. Côte d'Ivoire - Total Corners on the five venues with material liquidity for prediction markets. Live odds come from the Polymarket Polygon order book — the only source that ships real-time data under an open licence. For Kalshi, Betfair and Manifold we list platform attributes (fee, KYC, settlement, payment) instead of fabricated odds, because their APIs use non-comparable contract definitions.

Resolution & payout

Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.

Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.

FAQ

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What's the difference between YES and NO shares?

A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.

How fast are USDC deposits?

Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within minutes.

Do I need to KYC for this market?

Not under $1,500 of lifetime trading volume. Above that threshold, Polymarket App UK triggers a quick verification flow that finishes in minutes.

How reliable are the quoted odds?

The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.