Wild vs. Avalanche

Platform comparison

Market context

The Minnesota Wild face the Colorado Avalanche in an NHL playoff match scheduled for 13 May at 8:00PM ET, with the settlement window closing the following day. The market currently implies an 86% probability of a Wild victory, reflecting substantial confidence in Minnesota's chances despite the Avalanche being a formidable opponent in recent seasons.

Historical matchups between these teams provide context for evaluating the current odds. Over the past five seasons, the Wild and Avalanche have split regular-season encounters fairly evenly, though Colorado has generally finished with stronger playoff seeding. The 86% implied probability suggests traders are pricing in either significant roster advantages for Minnesota, recent form disparities, or specific playoff positioning dynamics that favour the Wild considerably. Comparable playoff scenarios where underdogs have been priced at 14% or lower success rates typically reflect either dominant recent performance by the favoured team or substantial injury concerns affecting the challenger.

Traders should monitor roster updates and injury reports through to puck drop, particularly regarding key players on either side. The settlement mechanism accounts for overtime and shootouts, with shootout victories credited as one additional goal for resolution purposes. Recent team performance metrics, goaltender form, and any last-minute lineup changes announced by either franchise will be critical catalysts. The single-day settlement window following the match means the result will be determined definitively on 14 May, with no ambiguity regarding postponement or cancellation scenarios unless the game fails to be rescheduled.

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 Wild vs. Avalanche 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

Resolution source: This market settles from the official publication at https://www.nhl.com/scores. A proposer submits the result to the UMA Optimistic Oracle on Polygon, the two-hour challenge window opens, and the smart contract pays out in USDC.

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

How accurate are political prediction markets?

Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.

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.

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.

Which political events have the biggest volume?

US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.