Game Spread: Raul Brancaccio (-0.5) vs Oskari Paldanius (+0.5)
Polymarket traders are currently pricing "Game Spread: Raul Brancaccio (-0.5) vs Oskari Paldanius (+0.5)" at a 100% probability, up over the last 2h (+50 point change).
- Volume (24h)
- $0
- Total volume
- $0
- Liquidity
- $591
- All-time range
- 50% – 100%
- Our history
- 3 hours
- Resolves
- 7d
How this resolves
This market will resolve to "Raul Brancaccio" if Raul Brancaccio wins 0.5 or more total games than Oskari Paldanius in the upcoming tennis match, scheduled for November 10, 2026 at 6:00AM ET. Otherwise, this market will resolve to "Oskari Paldanius".
Games won will be counted across all sets played in the match. A set decided by a tiebreak will count as one game for the winner of that tiebreak, and a match tiebreak played in place of a final set will also count as one game for its winner.
If the match is canceled (not played at all), or is delayed beyond 14 days from the scheduled date without completion at 11:59 PM ET, this market will resolve 50-50.
If the match begins but is not completed due to retirement, default, or disqualification, this market will resolve 50-50, unless the outcome of this market has already been unconditionally determined by the completed portion of play under the match format published by the tournament organizer for that round. For example, if the match ends at a point where Raul Brancaccio could no longer have finished 0.5 or more games ahead even by winning every remaining game, this market will resolve to "Oskari Paldanius".
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.
Resolution rules as published by Polymarket — MeleeMarkets doesn't set or interpret these, we just mirror them.
Odds are mirrored from Polymarket's public market data and may lag the live order book slightly. Informational only — not financial advice. How we source data.