Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via March Madness Predictions) Pick polygram.ink (preferred broker) |
24% | 76% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
24% | 76% | 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 |
|---|---|
| Shohei Ohtani | 24% |
| Ben Rice | 6% |
| Aaron Judge | 4% |
| Corbin Carroll | 4% |
| Bobby Witt Jr. | 3% |
| Kyle Schwarber | 2% |
| José Ramírez | 2% |
| Zach Neto | 2% |
| Byron Buxton | 2% |
| Juan Soto | 1% |
| George Springer | 1% |
| Mookie Betts | 1% |
| Dansby Swanson | 1% |
| Luke Wood | 1% |
| Yordan Alvarez | 1% |
| Francisco Lindor | 1% |
| Fernando Tatis Jr. | 1% |
| Julio Rodríguez | 1% |
| Elly De La Cruz | 1% |
| Gunnar Henderson | 1% |
| Drake Baldwin | 1% |
| Mike Trout | 1% |
| Randy Arozarena | 1% |
| José Bell | 1% |
| Cal Raleigh | 0% |
| Brett Turang | 0% |
| Carlos Correa | 0% |
| Player A | 0% |
| Player C | 0% |
| Player E | 0% |
| Player G | 0% |
| Player I | 0% |
| Player K | 0% |
| Player M | 0% |
| Player O | 0% |
| Player Q | 0% |
| Player S | 0% |
| Player U | 0% |
| Player W | 0% |
| Player Y | 0% |
| Player AA | 0% |
| Player AC | 0% |
| Player AE | 0% |
| Player AG | 0% |
| Player AI | 0% |
| Player AK | 0% |
| Player AM | 0% |
| Other | 0% |
| Jose Altuve | 0% |
| Player B | 0% |
| Player D | 0% |
| Player F | 0% |
| Player H | 0% |
| Player J | 0% |
| Player L | 0% |
| Player N | 0% |
| Player P | 0% |
| Player R | 0% |
| Player T | 0% |
| Player V | 0% |
| Player X | 0% |
| Player Z | 0% |
| Player AB | 0% |
| Player AD | 0% |
| Player AF | 0% |
| Player AH | 0% |
| Player AJ | 0% |
| Player AL | 0% |
| Player AN | 0% |
Market context
The market resolves on which player accumulates the most runs during the 2026 Major League Baseball regular season, a statistic heavily dependent on batting frequency and team offensive output rather than pure power alone. While the current crowd-implied probability sits at 24% for the affirmative outcome, historical precedents for runs leaders reveal that consistency often outweighs explosive bursts; players like Mike Trout or Ronald Acuña Jr. have dominated this category by maintaining high on-base percentages while playing for elite lineups, rarely missing games. In comparable seasons, the leader typically scores between 130 and 150 runs, a threshold that demands both a high batting average and a team that consistently generates scoring opportunities, making the 24% figure a reflection of the difficulty in sustaining such volume over a full 162-game schedule without injury or slump.
Traders must monitor key catalysts including mid-season roster announcements, injury reports for top hitters, and the scheduling of double-headers which can artificially inflate run totals for specific players. Recent beat reporting from ESPN highlights that Kyle Schwarber, currently leading in home runs with 20 as of late May, faces a critical dependency on his team’s ability to keep him in the lineup, as his power-centric style often results in fewer total runs compared to contact hitters like Otto Lopez, who leads in batting average and hits [3]. Furthermore, the tie-breaking rules favouring on-base percentage and batting average mean that a player like Yordan Alvarez, who holds the league lead in on-base percentage, could edge out a power hitter in a tie scenario, necessitating close observation of his health and lineup position as the season progresses toward the September 28 settlement window [9]. The volatility of team form, particularly for franchises undergoing coaching changes or suffering key absences in their pitching rotations, will directly influence the run-scoring environment and ultimately determine the market’s resolution.
Methodology
Sports-specific comparison page for MLB: 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.
- 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.
- 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.
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