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event16 outcomes

Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar

Polymarket·Sports·ends Nov 10, 2026

As of 16:17 UTC on 3 Nov 2026, the highest-priced of the 16 markets in “Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar” on Polymarket are “Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar Set 2 Winner” at 100% (+50pp in 24h), “Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar Total Sets: O/U 2.5” at 100% (+67pp in 24h) and “Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar Set 1 O/U 8.5” at 100% (+65pp in 24h). The event has $22.2k in Polymarket-reported 24-hour volume. pdata.world tracks it alongside markets from 8 prediction-market platforms.

vol cum
$18.2k
vol 24h
$22.2k
outcomes
16
ends
Nov 10, 2026
outcomesclick to inspect →
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TennisSportsGames
marketselected outcome
Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar Set 2 Winner
rank #1 · resolved: lorenzo joaquin rodriguez
100¢
▲ 50.0pp
24h change
vol cum
$0
vol 24h
$0
spread
0.01
ends
Nov 10, 2026

This market refers to the tennis match between Lorenzo Joaquin Rodriguez and Federico Aguilar in the Villa Maria, originally scheduled for November 3, 2026 at 8:00AM ET. This market will resolve to “Lorenzo Joaquin Rodriguez” if Lorenzo Joaquin Rodriguez wins set 2. It will resolve to “Federico Aguilar” if Federico Aguilar wins set 2. If the match begins but set 2 is not completed with a winner determined (including the match ending before set 2 is reached), this market will resolve 50-50. If the match is canceled (not played at all) or play has not begun by November 17, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve 50-50. Resolution will be based on official 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 · Nov 3, 2026closedresolved · Nov 3, 2026
Villa Maria: Lorenzo Joaquin Rodriguez vs Federico Aguilar Set 2 Winner · prices over time
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