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Game Spread: Kimberly Birrell (-3.5) vs Kayla Day (+3.5)

Resolves Oct 27, 2026

50%chance
– 0.0pt over 60m
0%50%100%Oct 20Oct 20

Polymarket traders are currently pricing "Game Spread: Kimberly Birrell (-3.5) vs Kayla Day (+3.5)" at a 50% probability, roughly flat over the last 60m (0 point change).

Volume (24h)
$835
Total volume
$835
Liquidity
$94.8K
Our history
6 hours
Resolves
7d

How this resolves

This market will resolve to "Kimberly Birrell" if Kimberly Birrell wins 3.5 or more total games than Kayla Day in the upcoming tennis match, scheduled for October 20, 2026 at 1:30AM ET. Otherwise, this market will resolve to "Kayla Day".
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 Kimberly Birrell could no longer have finished 3.5 or more games ahead even by winning every remaining game, this market will resolve to "Kayla Day".
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 WTA 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.

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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.

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