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event16 outcomes

Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume

Polymarket·Sports·ends Nov 3, 2026

As of 13:14 UTC on 25 Oct 2026, the highest-priced of the 16 markets in “Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume” on Polymarket are “Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume” at 80% (-3pp in 24h), “Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume Set 1 Winner” at 77% (+28pp in 24h) and “Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume Set Handicap +/-1.5” at 62% (+12pp in 24h). The event has $10.4k in Polymarket-reported 24-hour volume. pdata.world tracks it alongside markets from 8 prediction-market platforms.

vol cum
$10.4k
vol 24h
$10.4k
outcomes
16
ends
Nov 3, 2026
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TennisSportsGames
marketselected outcome
Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume
rank #1
80¢
▼ 3.5pp
24h change
vol cum
$10.4k
vol 24h
$10.4k
spread
0.01
ends
Nov 3, 2026

This market refers to the tennis match between Leylah Fernandez and Himeno Sakatsume in the Pan Pacific Open, originally scheduled for October 26, 2026 at 10:00PM ET. This market will resolve to 'Leylah Fernandez' if Leylah Fernandez advances against Himeno Sakatsume. This market will resolve to 'Himeno Sakatsume' if Himeno Sakatsume advances against Leylah Fernandez. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 9, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the WTA Tour. A consensus of credible reporting may also be used.

timeline
opened · Oct 25, 2026opencloses · Nov 3, 2026
Pan Pacific Open: Leylah Fernandez vs Himeno Sakatsume · prices over time
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