Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Champions League Prediction) Pick polygram.ink (preferred broker) |
48% | 52% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
48% | 52% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | See live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | See live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | See live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | See live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Kyle Schwarber | 48% |
| Yordan Alvarez | 21% |
| Junior Caminero | 15% |
| Shea Langeliers | 5% |
| Nick Kurtz | 4% |
| Munetaka Murakami | 2% |
| Elly De La Cruz | 2% |
| Aaron Judge | 1% |
| Shohei Ohtani | 1% |
| Matt Olson | 1% |
| James Wood | 1% |
| Ben Rice | 1% |
| Cal Raleigh | 0% |
| Eugenio Suarez | 0% |
| Juan Soto | 0% |
| Pete Alonso | 0% |
| Rafael Devers | 0% |
| George Springer | 0% |
| Giancarlo Stanton | 0% |
| Mike Trout | 0% |
| Manny Machado | 0% |
| Jordan Walker | 0% |
| Brandon Lowe | 0% |
| Sal Stewart | 0% |
| CJ Abrams | 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% |
| Player AT | 0% |
| Player AU | 0% |
| Player AV | 0% |
| Player AW | 0% |
| Player AX | 0% |
| Player AY | 0% |
| Player AZ | 0% |
| Player BA | 0% |
| Player BB | 0% |
| Player BC | 0% |
| Player BD | 0% |
| Player BE | 0% |
| Player BF | 0% |
| Player BG | 0% |
| Player BH | 0% |
| Player BI | 0% |
| Player BJ | 0% |
| Player BK | 0% |
| Player BL | 0% |
| Player BM | 0% |
| Player BN | 0% |
| Player BO | 0% |
| Player BP | 0% |
| Player BQ | 0% |
| Player BR | 0% |
| Player BS | 0% |
| Player BT | 0% |
| Player BU | 0% |
| Player BV | 0% |
| Player BW | 0% |
| Player BX | 0% |
| Other | 0% |
Market context
The 2026 MLB regular season home run leader will be decided by the player with the most total home runs before the season closes on 28 September, with ties broken first by slugging percentage, then batting average. As of mid-July, Kyle Schwarber of the Philadelphia Phillies leads the standings with 32 home runs, having already surpassed his 2025 total and extending his 2026 tally to 26 by late June with a 456-foot strike against the Mets[2][3].
Historically, mid-season leads of 5–7 home runs have often held, but the 2026 projection models still favour Aaron Judge of the New York Yankees, who is projected to finish with 47 home runs, nearly 15 more than Schwarber’s current pace[1]. The current 1% crowd-implied probability for any non-Schwarber player reflects a market that has overcorrected to Schwarber’s hot hand, ignoring Judge’s consistent power output and the fact that only three players in the last decade have overturned a 6+ home run deficit from July to win the title.
Traders should monitor Judge’s upcoming schedule against weak pitching rotations in August, any injury news affecting Schwarber’s playing time, and the official MLB tie-breaker rules if the count narrows below five home runs by September. Schwarber’s recent form is strong, but Judge’s projection remains the most credible long-term indicator, and a single month of rest for Schwarber could shift the odds dramatically[1].
Methodology
Football-specific comparison page for MLB: Home Runs Leader. Polymarket's live quote (Polygon order book) plus platform attributes for the three reference venues. Sports markets reward liquidity — Polymarket and Betfair are materially deeper than Kalshi (US-focused) or Manifold (play-money).
Resolution & payout
Sports markets typically settle on official final-whistle plus league confirmation. Polymarket uses UMA Optimistic Oracle with a source URL per contract — usually official league data feeds or ESPN/Soccerway. Two-hour dispute window, then smart-contract payout in USDC.
FAQ
- Are prediction markets better than sports betting?
- Prediction markets tend toward tighter odds than bookmakers because they use peer-to-peer exchange rather than bookmaker margin. On major matches, Polymarket quotes typically sit 2-5% closer to the true probability model than bet365 or DraftKings.
- Can I bet on individual matches?
- Yes, Polymarket lists every major Premier League / Champions League / World Cup match as its own market. Liquidity varies — top matches like El Clásico or a semi-final often have six-figure pools, lower-league games closer to three-figure.
- How fast do sports winnings settle?
- Once the official league outcome is logged in the UMA Oracle (typically 1-2 hours after the final whistle), Polymarket's smart contract triggers USDC payout. To your wallet within minutes.
- What's the difference between match odds and outright odds?
- Match odds cover a single game ("Bayern beats BVB"). Outright odds are long-term aggregates ("Bayern wins the league"). Outright markets have deeper liquidity; match markets have faster resolution.
- Can I import form data and lineups?
- This page shows the live Polymarket quote as an implied probability. Form data and lineups must be researched separately via sports data providers (e.g. Soccerway, ESPN, FBref) — we surface the market probability, not the sport analysis.
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