Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Best Prediction Markets UK) Pick polygram.ink (preferred broker) |
75% | 25% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | View on Polymarket → |
Polymarket (direct) polymarket.com |
75% | 25% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | View on Polymarket → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | View on Polymarket → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | View on Polymarket → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | View on Polymarket → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| Indiana Fever vs. PortlandFire | 75% |
| O/U 180.5 | 68% |
| O/U 183.5 | 62% |
| O/U 184.5 | 59% |
| Megan DiLeo: Rebounds O/U 3.5 | 58% |
| Caitlin Clark: Assists O/U 8.5 | 58% |
| Carla Leite: Points O/U 14.5 | 56% |
| Caitlin Clark: Rebounds O/U 3.5 | 56% |
| Carla Leite: Assists O/U 5.5 | 55% |
| O/U 185.5 | 55% |
| Megan DiLeo: Points O/U 13.5 | 54% |
| O/U 186.5 | 53% |
| Aliyah Boston: Points O/U 16.5 | 52% |
| Bridget Carleton: Points O/U 12.5 | 51% |
| Spread -7.5 | 51% |
| O/U 187.5 | 50% |
| Megan DiLeo: Points O/U 14.5 | 50% |
| Kelsey Mitchell: Points O/U 22.5 | 49% |
| Caitlin Clark: Points O/U 20.5 | 48% |
| O/U 188.5 | 48% |
| Spread -8.5 | 47% |
| Aliyah Boston: Points O/U 17.5 | 47% |
| Carla Leite: Points O/U 15.5 | 47% |
| O/U 189.5 | 46% |
| Caitlin Clark: Rebounds O/U 4.5 | 46% |
| Emily Engstler: Rebounds O/U 5.5 | 45% |
| Bridget Carleton: Rebounds O/U 3.5 | 45% |
| Bridget Carleton: Assists O/U 2.5 | 45% |
| Aliyah Boston: Rebounds O/U 8.5 | 44% |
| Caitlin Clark: Assists O/U 9.5 | 44% |
| Aliyah Boston: Assists O/U 3.5 | 42% |
| Carla Leite: Rebounds O/U 2.5 | 39% |
| Caitlin Clark: Points O/U 19.5 | 34% |
Market context
The Indiana Fever are priced as clear favourites against Portland Fire, and the current 75% crowd-implied yes line sits in line with conventional betting markets rather than standing out as an outlier. FanDuel had Indiana around -375, which implies roughly 79% before vig, while ESPN’s game page showed a similar split at 75.2% for Indiana and 24.8% for Portland; that leaves the prediction market slightly softer on the Fever than the sportsbook consensus, but not materially so.[8][17]
Comparable cases from earlier in the season also frame this as a modest favourite rather than an upset-prone spot. In May, sportsbooks regularly made Indiana a much larger favourite, with moneylines as short as -900 to -950 and spreads around Fever -13.5, while model-based previews still had Indiana winning comfortably, often in the high-80s to low-90s by score projection.[7][13] More recent preview work has pulled the gap in a little, with one model giving Indiana a 78.5% win probability and another listing -325 to -330 on the moneyline, which is broadly consistent with a market around three-in-four.[1][3][4]
For traders, the main catalysts are straightforward: final injury or rest updates, whether Caitlin Clark and other primary creators are confirmed active, and any late movement in the spread or total before tip-off. The game is scheduled for 10:00 pm ET on 31 July, and the market stays open if the fixture is postponed, only resolving 50-50 if it is cancelled without a make-up date, so schedule changes matter more here than in a normal settled league game.[8][14] Consensus commentary from preview outlets points the same way on the side market, with Indiana favoured but not by a runaway margin, while total-line disagreement between books shows the bigger debate is about scoring environment rather than the outright winner.[1][3][15]
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $84K.
Methodology
Methodologically we separate two layers: the live probability (Polymarket mid-price) and the platform attributes (fee, KYC, settlement currency, payment rails). That keeps the comparison honest — a single canonical probability across the row, with the venue-by-venue trade-offs spelt out in the columns next to it.
Resolution & payout
Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.
Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.
FAQ
- Where can I trade this market with the lowest fees?
- Polymarket is geo-blocked in the US/UK/EU. The easiest 0%-fee broker into the same order book is Best Prediction Markets UK. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.
- 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.
- 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.
- Do I need to KYC for this market?
- On Polymarket directly, no — it's wallet-based. Intermediary brokers like Best Prediction Markets UK trigger KYC only above $1,500 of lifetime trading volume; under that you trade pseudonymously with a single wallet address.
- How reliable are the quoted odds?
- The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.
Trade Indiana Fever vs. PortlandFire on Best Prediction Markets UK
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