Minnesota Governor Republican Primary Winner

Platform comparison

Market context

Minnesota’s Republican primary for governor is now the live event behind this contract, with voting scheduled for 11 August and early voting already having given the race a head start.[7][13] The current **65% YES** crowd-implied price suggests the market is leaning towards a named Republican winner being identified from the party’s official result, rather than an “Other” resolution caused by cancellation or an unresolved contest.[18]

Historically, this is a useful race to price cautiously because Minnesota Republicans are working through a crowded field rather than a clear front-runner. Ballotpedia described a *record-high seven candidates* in the primary, and independent polling in late June showed a close three-way split, with Lisa Demuth, Kendall Qualls and a late-entering contender trading places in some surveys.[2][1] That kind of fragmented field can compress probabilities in prediction markets, because small shifts in turnout, endorsements and consolidation can move the winner even when wider general-election dynamics look stable.

Traders should watch for the Minnesota Republican Party’s first official results, since that is the stated settlement source, and an overwhelming consensus of credible reporting could also determine the outcome.[20] The main near-term catalysts are turnout data, any late campaign withdrawals, and whether the party’s result is clear enough on election night to avoid a contested read on the winner.[7][20] Compared with broader analyst coverage, which has tended to frame the race as fluid and open, the crowd price looks slightly more decisive, implying the market is giving more weight to a single winner emerging cleanly than to any procedural uncertainty.[1][2]

Sources: 1 · 2 · 3 · 4 · 5

Methodology

Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.

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?

Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Kalshi vs Polymarket. 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.

What does Polymarket cost to trade?

Polymarket itself charges 0% — the only cost is the Polygon network fee, typically under $0.01 per transaction. Off-chain venues like Kalshi or Betfair charge 2-7% commission.

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.