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event16 outcomes

Erste Bank Open: Alexander Zverev vs Martin Landaluce

Polymarket·Sports·ends Nov 3, 2026

As of 16:17 UTC on 27 Oct 2026, the highest-priced of the 16 markets in “Erste Bank Open: Alexander Zverev vs Martin Landaluce” on Polymarket are “Erste Bank Open: Alexander Zverev vs Martin Landaluce” at 92% (+2pp in 24h), “Erste Bank Open: Alexander Zverev vs Martin Landaluce Set 2 Winner” at 84% (+35pp in 24h) and “Erste Bank Open: Alexander Zverev vs Martin Landaluce Set 1 Winner” at 83%. The event has $11.8k in Polymarket-reported 24-hour volume. pdata.world tracks it alongside markets from 8 prediction-market platforms.

vol cum
$14k
vol 24h
$11.8k
outcomes
16
ends
Nov 3, 2026
outcomesclick to inspect →
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TennisSportsGames
marketselected outcome
Erste Bank Open: Alexander Zverev vs Martin Landaluce
rank #1
92¢
▲ 2.0pp
24h change
vol cum
$13.1k
vol 24h
$10.9k
spread
0.01
ends
Nov 3, 2026

This market refers to the tennis match between Alexander Zverev and Martin Landaluce in the Erste Bank Open, originally scheduled for October 27, 2026 at 5:00AM ET. This market will resolve to 'Alexander Zverev' if Alexander Zverev advances against Martin Landaluce. This market will resolve to 'Martin Landaluce' if Martin Landaluce advances against Alexander Zverev. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by November 10, 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 ATP Tour. A consensus of credible reporting may also be used.

timeline
opened · Oct 25, 2026opencloses · Nov 3, 2026
Erste Bank Open: Alexander Zverev vs Martin Landaluce · prices over time
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