pdatanews264
event16 outcomes

M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige

Polymarket·Sports·ends Oct 13, 2026

As of 17:24 UTC on 6 Oct 2026, the highest-priced of the 16 markets in “M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige” on Polymarket are “M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige Set 1 Winner” at 100% (+50pp in 24h), “M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige Total Sets: O/U 2.5” at 100% (+50pp in 24h) and “M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige Set 1 O/U 8.5” at 100% (+51pp in 24h). The event has $3.6k in Polymarket-reported 24-hour volume. pdata.world tracks it alongside markets from 8 prediction-market platforms.

vol cum
$3.6k
vol 24h
$3.6k
outcomes
16
ends
Oct 13, 2026
outcomesclick to inspect →
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TennisSportsGames
marketselected outcome
M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige Set 1 Winner
rank #1 · resolved: pierre antoine tailleu
100¢
▲ 50.0pp
24h change
vol cum
$0
vol 24h
$0
spread
0.19
ends
Oct 13, 2026

This market refers to the tennis match between Pierre Antoine Tailleu and Mae Malige in the M15+H Rodez, originally scheduled for October 6, 2026 at 8:00AM ET. This market will resolve to “Pierre Antoine Tailleu” if Pierre Antoine Tailleu wins the first set. It will resolve to “Mae Malige” if Mae Malige 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 20, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve 50-50. Resolution will be based on official ITF 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 5, 2026closedresolved · Oct 6, 2026
M15+H Rodez: Pierre Antoine Tailleu vs Mae Malige Set 1 Winner · prices over time
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