Miami Marlins vs. New York Mets

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Active sub-markets

Market context

The Miami Marlins travel to Queens on 30 May for a 4:10 PM ET fixture against the New York Mets, a regular-season matchup in the National League East. The 1% implied probability for a Marlins victory reflects the Mets' standing as clear favourites in this encounter, though such extreme probabilities warrant examination against historical performance data. When examining comparable matchups between these franchises over the past three seasons, the Marlins have won roughly 45–50% of head-to-head contests despite their weaker overall record. A 1% market price suggests either significant information asymmetry regarding team form, or the market has compressed probability beyond what historical win rates would justify. For algorithmic traders, this presents a calibration problem: whether the crowd has genuinely identified a near-certain outcome or whether the probability has drifted into territory where conditional orders and position-sizing logic should trigger differently.

Traders monitoring this market should track pitching assignments and roster availability in the days preceding the fixture. Starting pitcher announcements typically arrive 48–72 hours before game time and materially shift win probabilities; a Marlins ace facing a Mets rotation injury would narrow the gap considerably. Recent form matters too—the Mets' May performance, win-loss streaks, and any bullpen fatigue from consecutive games will feed into updated models. Weather conditions at Citi Field (wind direction, temperature) can favour certain team profiles. For programmatic approaches, integrating ESPN's injury reports and MLB's official roster updates into conditional order logic would capture meaningful shifts before manual traders react. The settlement window extends to 6 June, allowing time for postponements; any rain-out requiring a make-up game would keep the market open, a factor relevant to position-holding strategies.

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

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

FAQ

Where can I trade this market with the lowest fees?

On Polymarket Review UK, 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.

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.

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.