← Search

Ashley Jay

Add to scout listFree account. Monday email when they play.
San Diego, CA
4.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
242 matches · 177W–65L · seasons 2018–2026
Match history242 matches
L
2026-10-18 · SD 4.5 Penn Purrs @PTC / Ogihara · #3 Doubles · 4.5 · with Renee Schardt
loading the estimate
4-6, 3-6
W
2026-08-08 · #2 Doubles · 4.5 · with Nadine Utz championship
loading the estimate
6-1, 4-6, 1-0
W
2026-08-07 · SDNC WD LLW HT Miramar College/ Ly · #1 Doubles · 4.5 · with Nadine Utz
loading the estimate
7-6, 2-6, 1-0
L
2026-08-07 · #2 Doubles · 4.5 · with Nadine Utz championship
loading the estimate
1-6, 4-6
L
2026-07-26 · SD WE LLW HT Peninsula TC/ DeForest · #1 Doubles · 4.5 · with Arianna Michaels
loading the estimate
3-6, 4-6
W
2026-07-24 · SD HT Peninsula TC/ Jay · #1 Doubles · 4.5 · with Nadine Utz
loading the estimate
7-6, 6-4
W
2026-07-17 · SDNC WD LLW HT Miramar College/ Ly · #1 Doubles · 4.5 · with Nadine Utz
loading the estimate
6-2, 6-2
L
2026-07-10 · SD HT Peninsula TC/ Jay · #1 Doubles · 4.5 · with Nadine Utz
loading the estimate
7-6, 3-6, 0-1
L
2026-07-05 · SD WE LLW HT Peninsula TC/ DeForest · #1 Doubles · 4.5 · with Angela Chang
loading the estimate
1-6, 1-6
W
2026-06-10 · SDNC WD LLW 4.5 Miramar College/ Wilson · #1 Doubles · 4.5 · with Mikayla Vincent
loading the estimate
6-1, 7-6
L
2026-05-31 · SD 4.5 Penn Pack @ PTC (SAT)/ Ogihara · #1 Doubles · 4.5 · with Cynthia Herrera
loading the estimate
3-6, 2-6
L
2026-05-27 · SDNC WD LLW 4.5 Miramar College/ Wilson · #1 Doubles · 4.5 · with Mikayla Vincent
loading the estimate
4-6, 6-1, 0-1
Where you rank locallyagainst everyone at your level
Teams47 teams · 2019–2026
Over timerating by season, and how you rank
By level9 levels played
3.0
60.9%
14W–9L · 55.6% of games
3.5
82.4%
28W–6L · 62.7% of games
4.0
75.6%
62W–20L · 59.8% of games
4.5
50%
13W–13L · 50% of games
3.0mixed
75%
6W–2L · 68.9% of games
3.5mixed
78.9%
15W–4L · 59% of games
6.0mixed
78.9%
15W–4L · 60.7% of games
7.0mixed
81.8%
9W–2L · 56.6% of games
8.5mixed
0W–3L
not enough matches yet

Games won matters more than matches won — NTRP adjusts on margins.

By lineusually #1 Doubles, 38% of the time
#1 Doubles
38%
92 matches
#2 Doubles
22%
54 matches
#1 Female Doubles
8%
20 matches
#3 Doubles
8%
19 matches
Singles
7%
17 matches
#1 Singles
6%
15 matches

How often, across every team and every match we hold — including ones that do not count toward a rating. Advanced stats has a court-position table too, and it answers a different question: how well you do there, over matches that count. A team’s own page shows how that one team uses you.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.

What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.
Martina Navratilova