Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Kalshi Alternative UK) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Trade this market → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Trade this market → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Trade this market → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Trade this market → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Trade this market → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Detroit Tigers vs. San Francisco Giants | 100% |
| O/U 7.5 | 100% |
| O/U 6.5 | 100% |
| O/U 5.5 | 100% |
| O/U 4.5 | 100% |
| O/U 3.5 | 100% |
| Spread -1.5 | 98% |
| Spread -2.5 | 98% |
| Spread -6.5 | 51% |
| Spread -7.5 | 51% |
| Extra Innings | 50% |
| Spread -3.5 | 50% |
| Spread -4.5 | 50% |
| Spread -5.5 | 50% |
| O/U 8.5 | 49% |
| O/U 9.5 | 25% |
| Spread -1.5 | 2% |
| NRFI | 0% |
| 1st 5 Innings Spread -1.5 | 0% |
| 1st 5 Innings Spread -1.5 | 0% |
| 1st 5 Innings O/U 2.5 | 0% |
| 1st 5 Innings O/U 3.5 | 0% |
| 1st 5 Innings O/U 4.5 | 0% |
| 1st 5 Innings O/U 5.5 | 0% |
| 1st 5 Innings O/U 6.5 | 0% |
| Spread -2.5 | 0% |
Market context
The Detroit Tigers and San Francisco Giants are priced by most sportsbooks as a fairly tight MLB contest, with recent moneylines clustering around Detroit between -103 and -143 and San Francisco between about -103 and +132 depending on book and timing.[4][5][8][11] That matters for this market because a 100% YES crowd price implies the exchange is treating Detroit as an overwhelming certainty, which is far more extreme than the underlying betting market. On comparable price conventions, Polymarket-style contracts quote implied probability directly, whereas Kalshi, Betfair and Smarkets usually expose the same view through decimal or fractional pricing and apply different fee or commission structures, so a “certain” contract can still trade at meaningfully different net value once costs and liquidity are included.[8]
Recent comparable readings have been much closer to a coin flip than a lock. One preview put Detroit at 50.7% and San Francisco at 49.3%, while another had Detroit at 52.1%; even the market consensus on the price screen sat around Detroit -127 to -131, which converts to roughly the high-50s in implied probability before vig.[3][4][8] The game already finished with San Francisco winning 5-2 on the ESPN scoreboard, so for a market that is still open only the resolution rules matter now: if it is tied or voided in an unusual way, it would settle 50-50, but a completed result should resolve to the actual winner.[2]
For traders comparing platforms, the main catalysts on this specific market are less about live team news now and more about settlement mechanics, timing, and whether the event was officially completed without later statistical correction.[2] If you are checking venue differences, Kalshi’s event-linked contract is likely to mirror the final official result, while Betfair and Smarkets would already be closed in practice once the game result is final, with the bigger difference being how prices and costs are displayed rather than the binary outcome itself. On a market that has already printed a full result, any residual uncertainty is usually about rule application rather than baseball performance.
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $277K.
Methodology
We read Detroit Tigers vs. San Francisco Giants from four platform perspectives: Polymarket (on-chain CLOB), Kalshi (CFTC-regulated exchange), Betfair Exchange (sports book exchange), Smarkets (peer-to-peer betting exchange). Polymarket's live mid is the canonical probability; the side-by-side columns benchmark fees, KYC, settlement currency and deposit rails so you can choose the venue that fits your jurisdiction and trade size.
Resolution & payout
Polymarket settles via UMA Optimistic Oracle on Polygon. A proposer posts the outcome with a bond, the two-hour window runs, then the smart contract pays USDC.
Kalshi settles USD through the CFTC-regulated clearinghouse — the cleanest variant, with heavier KYC. Betfair Exchange settles in account currency (GBP/EUR), net of 2-5% commission. Smarkets follows the same model as Betfair with a lower default 2% commission.
UK Frequently Asked Questions
- Polymarket vs Kalshi — which is better?
- Depends on your location. Kalshi is CFTC-regulated, US-only with full KYC. Polymarket is global, on-chain, no KYC up to $1,500. Polymarket has ~10x higher liquidity but higher regulatory risk.
- What does Polymarket cost vs Kalshi?
- Polymarket: 0% fees, only Polygon network costs (~$0.01/trade). Kalshi: up to 7% per trade plus spread. For high-frequency traders, Polymarket is dramatically cheaper.
- Which platform has the deepest liquidity?
- Polymarket — by a wide margin. Top markets reach $50-500M volume, Kalshi ~$200M cumulative, Betfair similar. Deeper liquidity means your trade moves the quote less.
- Polymarket vs Betfair Exchange: which is better for UK prediction trading?
- Betfair Exchange offers UKGC regulation, GBP settlement, and potentially tax-free winnings — but focuses on sports and politics only. Polymarket has deeper liquidity, 0% platform fee, global event coverage, and crypto/geopolitical markets Betfair doesn't offer. For UK traders: Betfair for regulated GBP sports markets; Polymarket for broader, global prediction events.
- Is Kalshi available in the UK?
- Kalshi is a US CFTC-regulated prediction exchange. UK residents can create accounts but must use USD and US payment methods. Kalshi's product range overlaps with Polymarket but with lower liquidity on most contracts. For UK traders, Polymarket typically offers better prices due to higher global volume.
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