Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via March Madness Predictions) 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 | 3% |
| 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 Major League Baseball regular season will determine which player records the most home runs, a market currently assigning just a 1% chance to the "YES" outcome for any specific contender emerging as the undisputed leader. Historical precedents show that league-leading power totals are rarely dominated by a single player with overwhelming probability; in 2025, Cal Raleigh won with 80 home runs, yet the odds for Aaron Judge and Shohei Ohtani remained competitive at +350 and +400 respectively, indicating that even frontrunners face significant volatility [1][2]. The current 1% probability likely reflects the market’s uncertainty over whether a single player can sustain a pace high enough to avoid a tie or late-season slump, as seen when multiple leaders were announced in prior years, requiring slugging percentage or batting average to decide the winner [1].
Traders should monitor weekly injury reports and team rest schedules, particularly for top contenders like Aaron Judge of the New York Yankees and Shohei Ohtani of the Los Angeles Dodgers, whose health directly impacts their ability to maintain a league-leading pace [1][4]. Key catalysts include the All-Star break, after which struggling players typically fall out of contention, and the late-season injury trends that often benched power hitters to preserve them for the postseason [4]. Recent beat reports from John Ewing highlight that Judge’s power remains a primary factor, yet his injury history necessitates close tracking of his team’s rotation and rest days to assess his true likelihood of leading the league [2]. Focus on players with consistent health records and strong team support, as a player’s performance relies heavily on the health of their teammates throughout the regular season [4].
Methodology
Sports-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 or Manifold.
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.
- What are live sports odds on Polymarket?
- Some top-tier matches stay open during play — you can trade the half-time probability in the 70th minute. Polymarket mid-prices update second-by-second; any frontend mirroring the order book shows the same movement.
- Which sports markets are available?
- Football (soccer) dominates — Champions League, World Cup, Premier League, La Liga, Bundesliga — followed by NFL, NBA, tennis Grand Slams, Formula 1, boxing/MMA. Resolution via official league source confirmation.
- 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.
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