Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
75% | 25% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
75% | 25% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | Live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | Live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | Live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | Live odds → |
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% |
| Carla Leite: Points O/U 14.5 | 56% |
| Caitlin Clark: Rebounds O/U 3.5 | 56% |
| Caitlin Clark: Assists O/U 8.5 | 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% |
| Spread -7.5 | 52% |
| Bridget Carleton: Points O/U 12.5 | 51% |
| O/U 187.5 | 50% |
| Megan DiLeo: Points O/U 14.5 | 50% |
| Kelsey Mitchell: Points O/U 22.5 | 49% |
| O/U 188.5 | 48% |
| Spread -8.5 | 47% |
| Aliyah Boston: Points O/U 17.5 | 47% |
| O/U 189.5 | 46% |
| Carla Leite: Points O/U 15.5 | 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% |
| Caitlin Clark: Rebounds O/U 4.5 | 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 | 31% |
| Caitlin Clark: Points O/U 20.5 | 28% |
Market context
The Indiana Fever’s game against the Portland Fire has been priced as a clear Fever lean, with current moneyline markets implying roughly a 75-79% chance of an Indiana win. That sits close to the crowd-implied **75% YES**, so the market is broadly in line with sportsbook pricing rather than showing a sharp disagreement.[1][2][8]
Comparable meetings this season have generally been framed the same way: Indiana has usually been the favourite by a sizeable margin, and model-based previews have repeatedly landed in the high-70s to mid-80s for Fever win probability. Recent coverage from OregonLive, citing Dimers, put Indiana at **78.5%** to win, while ESPN’s game page also has Indiana as the more likely winner.[7][19] The key historical read is that this market is not asking whether the Fever are good, but whether the price has already absorbed that advantage.
The main catalyst traders are leaning on is the scheduled tip-off itself and any late team news before 10:00 pm ET, especially injuries or resting decisions that could move the pre-game moneyline. Recent betting previews still show the Fever around -330 to -375, which suggests the market is anchoring on standard pre-match pricing rather than a special event, such as a declaration or schedule shift.[1][2][4][8] The one structural risk is postponement or cancellation: if the game is delayed, the market stays open until completion; if it is cancelled without a make-up, it resolves 50-50.
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $88K.
Methodology
This page tracks Indiana Fever vs. PortlandFire across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like Trump Prediction provide a 0%-fee route into the same order book.
Resolution & payout
Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.
Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.
FAQ
- How accurate are political prediction markets?
- Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
- What resolution source is used for elections?
- Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
- Which platform has the deepest political liquidity?
- Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like Trump Prediction route into the same order book at 0% fees.
- Are political prediction markets legal in my country?
- It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.
- Why do Polymarket and Kalshi differ on elections?
- Kalshi must follow CFTC compliance — strict definitions, clear resolution sources, US citizens only with KYC. Polymarket operates globally without CFTC oversight — deeper liquidity, but also higher regulatory risk.
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