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Updated 6 hr. ago

Game Spread: Elise Mertens (-1.5) vs Leylah Fernandez (+1.5)
50 %
chance
Ningbo Open: Elise Mertens vs Leylah Fernandez
5 outcomes- Ningbo Open: Elise Mertens vs Leylah Fernandez Set Handicap +/-1.565 %
- Ningbo Open: Elise Mertens vs Leylah Fernandez Game Spread +/-1.550 %
- Ningbo Open: Elise Mertens vs Leylah Fernandez Match O/U 22.550 %
- Ningbo Open: Elise Mertens vs Leylah Fernandez Match O/U 21.539 %
- Ningbo Open: Elise Mertens vs Leylah Fernandez0 %
Total volume
$200
24h vol.
$200
1w vol.
$200
1m vol.
$200
Last trade
53¢
Start date
Oct 17, 2026
End date
Oct 26, 2026
ends in 7 days
How reliable is this price range?
Of 8,420 resolved Polymarket Sports markets priced 35–65% seven days before resolution, 48.8% resolved YES. Their average price was 49.1%. In this range the price has been a reliable guide.
A historical frequency for the price range, not a probability for this market and not advice. How we measure this
Orderbook
No orders
Snapshot from cache
✦ AI assessment
Generate structured research
Recent trades (5)
| Time | Side | Price | Size |
|---|---|---|---|
| 7 hr. ago | Buy | 1¢ | 55 |
| 7 hr. ago | Buy | 99¢ | 50 |
| 7 hr. ago | Buy | 99¢ | 5 |
| 10 hr. ago | Buy | 53¢ | 200 |
| 10 hr. ago | Buy | 47¢ | 200 |
◆ Smart money
Do the pros know something the price doesn't?
Positioning of the wallets whose track record actually holds up — not simply the largest ones.
A signal is present in this market.
Unlock to see which side the qualified wallets are on, and how strongly.
Smart money is a Pro+ feature
See whether the wallets with a verified track record are positioned against the market price — with the evidence behind it, and woven into every AI research report.
◆ Kalshi comparison
This market on Kalshi
The closest matching market on Kalshi, a regulated US prediction exchange — spot price gaps between the two venues.
Kalshi comparison is a Pro+ feature
Compare this market against its Kalshi counterpart — prices, volume and the gap between the two venues — and have the cross-market view woven into every AI research report.
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