- Gabriela Knutson vs. Eva Lys: Total Sets O/U 2.569¢
- Set 1 Winner: Knutson vs Lys<1¢
- Knutson vs. Lys: Match O/U 22.550¢
- Knutson vs. Lys: Set 1 Games O/U 9.5<1¢
- Knutson vs. Lys: Match O/U 23.562¢
- Set Handicap: Lys (-1.5) vs Knutson (+1.5)28¢
- US Open WTA: Gabriela Knutson vs Eva Lys37¢
- US Open WTA: Completed Match: Gabriela Knutson vs Eva Lys50¢
- Knutson vs. Lys: Match O/U 21.584¢
- Knutson vs. Lys: Set 1 Games O/U 8.5>99¢
- Knutson vs. Lys: Set 2 Games O/U 9.550¢
- Knutson vs. Lys: Set 1 Games O/U 10.5<1¢
This market refers to the tennis match between Gabriela Knutson and Eva Lys in the US Open WTA, originally scheduled for August 30, 2026 at 11:00AM ET. This market will resolve to 'Gabriela Knutson' if Gabriela Knutson advances against Eva Lys. This market will resolve to 'Eva Lys' if Eva Lys advances against Gabriela Knutson. If the match is canceled (not played at all), ends in a tie, or a winner has not been determined by September 13, 2026, 11:59 PM ET (14 days after the scheduled start), this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. 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.
Eva Lys holds the edge as the higher-ranked player (No. 98) against No. 184 Gabriela Knutson in this US Open first-round hard-court match, backed by a 1-0 head-to-head record that includes a straight-sets win in 2024 qualifying. Knutson has posted stronger recent results, including US Open qualifying victories and a final at the Warsaw Challenger, while Lys has faced tougher main-tour opposition amid a 6-15 record in 2026. Knutson’s solid hard-court history and second-serve hold percentage could extend rallies, though Lys’s return efficiency and prior Grand Slam experience on the surface shape the competitive dynamics for traders assessing implied probabilities.