Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
42% | 58% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
42% | 58% | 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.
| Outcome | Probability |
|---|---|
| CJ Abrams | 42% |
| Junior Caminero | 28% |
| Yordan Alvarez | 27% |
| Pete Alonso | 12% |
| Kyle Schwarber | 9% |
| Andy Pages | 3% |
| Riley Greene | 2% |
| Liam Hicks | 2% |
| Brandon Lowe | 2% |
| Cal Raleigh | 1% |
| Aaron Judge | 1% |
| Rafael Devers | 1% |
| Juan Soto | 1% |
| Taylor Ward | 1% |
| James Wood | 1% |
| Sal Stewart | 1% |
| Drake Baldwin | 1% |
| Eugenio Suárez | 0% |
| Vinnie Pasquantino | 0% |
| Christian Yelich | 0% |
| Seiya Suzuki | 0% |
| Bo Bichette | 0% |
| Nico Hoerner | 0% |
| Oneil Cruz | 0% |
| Jorge Soler | 0% |
| Player A | 0% |
| Player B | 0% |
| Player C | 0% |
| Player D | 0% |
| Player E | 0% |
| Player F | 0% |
| Player G | 0% |
| Player H | 0% |
| Player I | 0% |
| Player J | 0% |
| Player K | 0% |
| Player L | 0% |
| Player M | 0% |
| Player N | 0% |
| Player O | 0% |
| Player P | 0% |
| Player Q | 0% |
| Player R | 0% |
| Player S | 0% |
| Player T | 0% |
| Player U | 0% |
| Player V | 0% |
| Player W | 0% |
| Player X | 0% |
| Player Y | 0% |
| Player Z | 0% |
| Player AA | 0% |
| Player AB | 0% |
| Player AC | 0% |
| Player AD | 0% |
| Player AE | 0% |
| Player AF | 0% |
| Player AG | 0% |
| Player AH | 0% |
| Player AI | 0% |
| Player AJ | 0% |
| Player AK | 0% |
| Player AL | 0% |
| Player AM | 0% |
| Player AN | 0% |
| Player AO | 0% |
| Player AP | 0% |
| Player AQ | 0% |
| Player AR | 0% |
| Player AS | 0% |
| Other | 0% |
Market context
The market tracks which player accumulates the most runs batted in during the 2026 MLB regular season, with the current crowd-implied probability for the YES outcome sitting at just 9%. This low figure reflects a fractured field where no single contender commands dominance, as Yordan Alvarez leads at 9% while Kyle Schwarber trails closely at 8%, creating an unusually tight race only 85 days from resolution [5].
Historical precedents for RBI leader markets show that early-season probabilities often inflate for power hitters before injury risks and late-season slumps erode their chances, a pattern that explains the current 9% valuation for Alvarez despite his strong pedigree [2]. Comparable cases from previous years reveal that longshots rarely overtake favorites unless multiple top contenders suffer setbacks, yet the 1% margin between the top two candidates suggests the market anticipates significant volatility through the All-Star break [2].
Traders should monitor scheduled All-Star break announcements and recent injury disclosures, as these catalysts frequently trigger sharp probability shifts in player performance futures [2]. The market is leaning on the dependency of Alvarez’s health through August, a period where power hitters historically face increased slump risks, while any new campaign-finance-style disclosures regarding roster moves could alter the competitive landscape [2]. With $1.4M already traded across 1,433 positions, the race remains wide open, demanding attention to real-time odds movements and expert analysis on late-season performance trends [5].
Methodology
This page tracks MLB: RBIs Leader across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like Trump Prediction provide a 0%-fee route into the same order book.
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
- 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.
- 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.
- 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.
- 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.
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