Valencia: Roberto Bautista Agut vs Pedro Martinez
1 signal across 1 market · $2,893 tracked · resolves May 20, 2026
This event tracks the Valencia tennis match between Roberto Bautista Agut and Pedro Martinez, with Polymarket traders pricing which player will advance. PolySpotter has flagged $2,893 in smart money activity, including a signal from a profitable repeat underdog bettor, making this market useful to watch beyond the headline odds.
Markets (1)
Top trades across all markets
Top wallets in this event
- 0xa3f8d4…4682$2,893 · 1 market · 1 alert · 78% wins
FAQs
What are the Bautista Agut vs Martinez prediction market odds?
The odds reflect Polymarket traders' current view of whether Roberto Bautista Agut or Pedro Martinez will advance in their Valencia match. Because prices can move quickly before and during tennis matches, check the live market for the latest implied probabilities.
What is the smart money doing on Bautista Agut vs Martinez?
PolySpotter is tracking $2,893 in smart money across this event, with one recent signal highlighting activity from a profitable repeat underdog bettor. That suggests at least one historically successful bettor has taken interest in the less-favored side.
How does this Polymarket event resolve?
The market resolves to Roberto Bautista Agut if he advances against Pedro Martinez, and to Pedro Martinez if Martinez advances. If the match is canceled, tied, or delayed more than seven days from the scheduled time, resolution may follow the market's cancellation rules.
When is Roberto Bautista Agut vs Pedro Martinez scheduled?
The match was originally scheduled for May 13, 2026 at 4:00 AM ET in Valencia. The event is expected to resolve by May 20, 2026, allowing for possible delays under the market rules.
Why follow this match on PolySpotter instead of only checking odds?
PolySpotter adds context to the raw Polymarket odds by surfacing notable wallet activity, profitable bettor signals, and smart money trends. For this match, the key alert is from a profitable repeat underdog bettor, which may help explain price movement or market interest.