Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi Fees) Pick polygram.ink (preferred broker) |
23% | 77% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Place a position → |
Polymarket (direct) polymarket.com |
23% | 77% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Place a position → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Place a position → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Place a position → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Place a position → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Luis Arraez | 23% |
| Yordan Alvarez | 7% |
| Otto Lopez | 6% |
| Yandy Díaz | 5% |
| Vladimir Guerrero Jr. | 4% |
| Aaron Judge | 1% |
| George Springer | 1% |
| Bobby Witt Jr. | 1% |
| Freddie Freeman | 1% |
| Alec Burleson | 1% |
| CJ Abrams | 1% |
| Jordan Walker | 1% |
| Sal Stewart | 1% |
| Bo Bichette | 0% |
| Jacob Wilson | 0% |
| Jeremy Peña | 0% |
| Trea Turner | 0% |
| Nico Hoerner | 0% |
| Josh Naylor | 0% |
| Geraldo Perdomo | 0% |
| Andy Pages | 0% |
| Wilyer Abreu | 0% |
| Mauricio Dubón | 0% |
| Ben Rice | 0% |
| Shea Langeliers | 0% |
| Drake Baldwin | 0% |
| Brandon Nimmo | 0% |
| Oneil Cruz | 0% |
| Corbin Carroll | 0% |
| Giancarlo Stanton | 0% |
| Riley Greene | 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% |
| Other | 0% |
Market context
The market resolves on which qualified player posts the highest batting average during the 2026 MLB regular season, with ties broken by hits, then doubles, per official MLB rules. Currently, the crowd-implied probability sits at 1% for a specific outcome, reflecting the extreme difficulty of predicting a season-long leader before the campaign concludes.
Historically, batting average leaders have shifted dramatically as seasons progress; in 2026, Otto Lopez leads at .336, followed by Luis Arraez and Yandy Diaz at .326, yet early leaders often fade due to injury or slumps [2][6]. A 1% probability suggests the market views the current frontrunner as vulnerable, mirroring past seasons where mid-season averages diverged sharply from final standings [9]. For a power-user, this implies a programmable approach: conditional orders should trigger only if Lopez’s average drops below .310 or if Arraez’s hits surge past 120, leveraging real-time stat feeds from MLB.com or ESPN for automated execution [1][2].
Traders must monitor daily lineup announcements, pitcher rotations, and injury reports, as these directly impact average volatility. Recent news highlights Lopez’s Marlins schedule includes a tough stretch against top AL pitchers, a key dependency for his average trajectory [6]. Additionally, the settlement window ending 28 September 2026 means late-season call-ups could alter the leader; conditional bots should track minor league promotions via MLB’s official stats portal [4]. A recent ESPN report notes Arraez’s SF team faces a favourable pitching slate in August, a catalyst that could propel his average past Lopez if Lopez falters [2]. Programmatic traders should set alerts for these schedule shifts, using APIs to ingest live data and adjust conditional orders dynamically.
Methodology
This page is a comparison snapshot: one live quote, four reference venues with their key attributes, and a single execution path — every trade button routes to Kalshi Fees, which mirrors the Polymarket order book directly.
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
- Is this market available outside the US?
- Polymarket itself is geo-blocked in the US/UK/EU. Always check the legal status of prediction markets in your jurisdiction before trading.
- 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.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Kalshi Fees trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
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