DePaul Women’s Tennis Aims to End Loss Streak vs Notre Dame
The DePaul women's tennis team is set to face No. 46 ranked Notre Dame to conclude their regular season. Currently sporting a record of 10-9 (6-1 BIG EAST), the Blue Demons are looking to recover from a recent defeat against Xavier, while the Fighting Irish aim to bounce back from a loss to NC State. This match is significant as DePaul has historically struggled against Notre Dame, holding an 0-11 record since 2010. Notably, head coach Marisa Arce has led the Blue Demons to a strong season performance over her tenure.
By the Numbers- DePaul's overall record: 10-9, BIG EAST record: 6-1
- Notre Dame's overall record: 15-8, home record: 12-2
- DePaul has reached the BIG EAST Tournament finals three times in six years under Arce.
- DePaul's loss streak to Notre Dame is 11 matches since 2010, marking their worst record against any opponent.
Despite their poor record against Notre Dame, DePaul has consistently performed well in the BIG EAST under Arce, including several postseason appearances. This suggests that while their history with Notre Dame is unfavorable, their overall program strength has been on the rise.
State of Play- DePaul is coming off a close loss against Xavier, critical for momentum heading into the match.
- Notre Dame's season has seen fluctuations, dropping from a peak ranking of No. 36 to No. 46.
- Both teams are entering with a need to stabilize performance as the postseason approaches.
Following the match against Notre Dame, DePaul will advance to the BIG EAST Championships in Cayce, South Carolina, scheduled from April 16–19. How they perform against Notre Dame may influence their tournament seeding and momentum.
Bottom LineAs DePaul seeks to end their regular season on a high note, a victory over Notre Dame could demonstrate their progress and resilience. With strong conference performance in recent years, any momentum gained could carry into the BIG EAST Championships, making this match crucial.
Read more at
The summary of the linked article was generated with the assistance of artificial intelligence technology from OpenAI
