Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Trump Prediction) Pick polygram.ink (preferred broker) |
69% | 31% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | Live odds → |
Polymarket (direct) polymarket.com |
69% | 31% | 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 |
|---|---|
| Leïla Lacan: Assists O/U 4.5 | 69% |
| Connecticut Sun vs. Chicago Sky | 63% |
| O/U 171.5 | 63% |
| O/U 173.5 | 55% |
| Kamilla Cardoso: Rebounds O/U 7.5 | 53% |
| Aneesah Morrow: Points O/U 11.5 | 51% |
| Olivia Nelson-Ododa: Rebounds O/U 6.5 | 51% |
| Aneesah Morrow: Points O/U 12.5 | 51% |
| Olivia Nelson-Ododa: Rebounds O/U 7.5 | 51% |
| Sydney Taylor: Points O/U 16.5 | 50% |
| Kamilla Cardoso: Points O/U 12.5 | 50% |
| Natasha Cloud: Points O/U 11.5 | 50% |
| Leïla Lacan: Points O/U 11.5 | 50% |
| Natasha Cloud: Rebounds O/U 3.5 | 50% |
| Natasha Cloud: Assists O/U 5.5 | 50% |
| Leïla Lacan: Points O/U 12.5 | 50% |
| Aneesah Morrow: Rebounds O/U 8.5 | 50% |
| Sydney Taylor: Points O/U 17.5 | 50% |
| Kamilla Cardoso: Points O/U 13.5 | 50% |
| Kamilla Cardoso: Rebounds O/U 8.5 | 50% |
| Natasha Cloud: Assists O/U 6.5 | 50% |
| Charlisse Leger-Walker: Assists O/U 4.5 | 50% |
| Kamilla Cardoso: Assists O/U 2.5 | 50% |
| Azurá Stevens: Rebounds O/U 7.5 | 49% |
| O/U 175.5 | 48% |
| Azurá Stevens: Points O/U 13.5 | 47% |
| Aneesah Morrow: Rebounds O/U 9.5 | 45% |
| O/U 176.5 | 45% |
| O/U 177.5 | 44% |
| Spread -3.5 | 28% |
| Spread -5.5 | 25% |
| Spread -4.5 | 24% |
Market context
The Connecticut Sun and Chicago Sky are due to meet again on 30 July, with the market currently giving the Sun a 63% implied chance after the teams split their earlier 2026 meetings. Chicago won 85-80 on 5 June, but Connecticut responded with a more convincing 92-63 home win on 22 June, so recent head-to-head form points to a volatile matchup rather than a fixed edge.[5][1]
That 63% sits above what the season records alone would suggest. ESPN’s preview listed Connecticut at 7-21 and Chicago at 9-18 before tip-off, while also noting that Chicago had lost its previous game by one point to New York and that both teams had injury uncertainty, including key names listed as day-to-day for the Sun.[10] Comparable cases this season have swung sharply with availability and late scoring runs: Chicago’s earlier win over Connecticut came after a 32-point second quarter, while the Sun’s June rematch was decided by a 29-point margin.[6][1]
The main catalyst to watch is lineup news rather than schedule drama. ESPN’s pregame notes highlighted day-to-day designations for Brittney Griner and Aaliyah Edwards on the Sun side, alongside absences and uncertainty for Chicago, which means any late status change could move the price more than the broader season profile.[10] Since the settlement rule keys off the final score, including overtime, traders will be focused on official pre-tip declarations, last-minute inactives, and any postponement notice; if the game is played as scheduled, the market’s lean is anchored most heavily to the Sun’s earlier blowout win and Chicago’s uneven recent form.[10][1]
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $172K.
Methodology
Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for Connecticut Sun vs. Chicago Sky plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.
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.
- Can prediction markets influence election outcomes?
- Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
- How fast do political markets react to news?
- High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
- Which political events have the biggest volume?
- US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.
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