San Francisco Giants vs. Arizona Diamondbacks

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Active sub-markets

Market context

The San Francisco Giants play the Arizona Diamondbacks in the next scheduled MLB meeting, with the market set to resolve on the result of the completed game rather than the opener alone. The current crowd price of 65% implies a modest Giants edge, but that is better read as a live baseline than a strong statistical signal. For programmatic use, the cleanest approach is to anchor on team news, confirmed starters, and any line movement after line-up release, then compare the market price against the implied win probability from those inputs.

Head-to-head context is mixed. The Giants have been stronger historically in the matchup overall, but Arizona has taken the recent flash point: on 19 May, the Diamondbacks beat San Francisco 12-2, with Nolan Arenado’s first-inning grand slam setting the tone. ESPN also noted Ketel Marte’s walk-off three-run homer in a 5-3 win earlier in the series context. MLB’s preview adds a useful split for automated checks: Justin Verlander entered with a 0.69 ERA in two May starts, while Brandon Pfaadt had gone 0-4 with a 5.11 ERA in five starts against the Giants.

The main catalysts are the starting-pitcher confirmation, line-up availability, and any late bullpen or travel notes before first pitch. MLB’s game preview is the best source for verified starter and form data, while the market’s settlement window means postponement risk stays live until the game is completed. For tooling, traders typically set alerts on official line-ups, monitor pre-game odds drift, and treat a cancellation or tie as a separate 50-50 outcome rather than a win/loss resolution.

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Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). The odds column is filled only where we have clean data — that avoids the made-up numbers that get a network demoted when search engines cross-check against the source venue.

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

Where can I trade this market with the lowest fees?

On PolyGram, which mirrors the Polymarket order book at 0% fees. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

Is this market available outside the US?

PolyGram is available in most jurisdictions where Polymarket isn't directly accessible. Polymarket itself is geo-blocked in the US/UK/EU. Always check local regulations.

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.

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.