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Minnesota Twins vs. New York Yankees

"Minnesota Twins vs. New York Yankees" across the four most-traded political prediction venues — live data, regulatory notes, every CTA to Trump Prediction.

NRFI 100% 1st 5 Innings O/U 2.5 79% 1st 5 Innings O/U 3.5 69% 1st 5 Innings O/U 4.5 62% Volume: $441K Liquidity: $293K Closes: 12 Jul 2026
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Minnesota Twins vs. New York Yankees

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via Trump Prediction) Pick
polygram.ink (preferred broker)
100% 0% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Live odds →
Polymarket (direct)
polymarket.com
100% 0% 0% Geo-blocked in US/UK/EU USDC, on-chain Live odds →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Live odds →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Live odds →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Live odds →

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
NRFI100%
1st 5 Innings O/U 2.579%
1st 5 Innings O/U 3.569%
1st 5 Innings O/U 4.562%
Minnesota Twins vs. New York Yankees60%
1st 5 Innings O/U 5.556%
1st 5 Innings Spread -1.550%
1st 5 Innings Spread -1.550%
1st 5 Innings Spread -2.550%
1st 5 Innings Spread -2.550%
1st 5 Innings O/U 6.550%
Extra Innings50%
Spread -1.544%
O/U 7.542%
O/U 8.536%
O/U 9.526%
Spread -1.523%
O/U 6.50%

Market context

Traders on decentralised prediction markets give 100% probability to minnesota twins vs. new york yankees. In the upcoming MLB game between the Minnesota Twins and New York Yankees, scheduled for July 5 at 1:35PM ET: This market will resolve to "Minnesota Twins" if the Minnesota Twins win the game. This …

Live Data & Statistics

The Polymarket order book prices NRFI at 100% for "Minnesota Twins vs. New York Yankees".

NRFI 100% Other 0%

Live stats load when the match begins. Current market odds are shown above. Trading volume: $441K.

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 Minnesota Twins vs. New York Yankees 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

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.
What resolution source is used for elections?
Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
Which platform has the deepest political liquidity?
Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Trump Prediction route into the same order book at 0% fees.
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.
and

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