pdatanews239
event16 outcomes

Mallorca: Tamara Zidansek vs Despina Papamichail

Polymarket·Sports·ends Oct 20, 2026

As of 11:17 UTC on 13 Oct 2026, the highest-priced of the 16 markets in “Mallorca: Tamara Zidansek vs Despina Papamichail” on Polymarket are “Mallorca: Tamara Zidansek vs Despina Papamichail Set 1 Winner” at 100% (+39pp in 24h), “Mallorca: Tamara Zidansek vs Despina Papamichail Set 1 O/U 8.5” at 100% (+41pp in 24h) and “Mallorca: Tamara Zidansek vs Despina Papamichail Set 1 O/U 9.5” at 100% (+57pp in 24h). The event has $12.3k in Polymarket-reported 24-hour volume. pdata.world tracks it alongside markets from 8 prediction-market platforms.

vol cum
$11.5k
vol 24h
$12.3k
outcomes
16
ends
Oct 20, 2026
outcomesclick to inspect →
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TennisSportsGames
marketselected outcome
Mallorca: Tamara Zidansek vs Despina Papamichail Set 1 Winner
rank #1 · resolved: tamara zidansek
100¢
▲ 39.0pp
24h change
vol cum
$11
vol 24h
$11
spread
0.00
ends
Oct 20, 2026

This market refers to the tennis match between Tamara Zidansek and Despina Papamichail in the Mallorca, originally scheduled for October 13, 2026 at 5:00AM ET. This market will resolve to “Tamara Zidansek” if Tamara Zidansek wins the first set. It will resolve to “Despina Papamichail” if Despina Papamichail wins the first set. If the match begins but is not completed, and the first set is concluded with a winner determined, this market will resolve based on that completed set. If the first set is not completed for any reason, this market will resolve 50-50. If the match is canceled (not played at all) or play has not begun by October 27, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve 50-50. Resolution will be based on official WTA Challenger match statistics. This market may resolve only when the listed period of play has concluded and the result can be definitively determined by the listed resolution source(s).

timeline
opened · Oct 11, 2026closedresolved · Oct 13, 2026
Mallorca: Tamara Zidansek vs Despina Papamichail Set 1 Winner · prices over time
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