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Sarah Smith

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Newbury Park, CA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
294 matches · 149W–145L · seasons 2019–2026
Match history294 matches
L
2026-10-18 · Slice Girls · #2 Doubles · 3.5 · with Kate Torrence
loading the estimate
0-6, 4-6
L
2026-10-16 · Spanish Hills 40 Love · #1 Doubles · 3.5 · with Kate Torrence
loading the estimate
3-6, 3-6
L
2026-10-11 · Slice Girls · #2 Doubles · 3.5 · with Kate Torrence
loading the estimate
0-6, 0-6
W
2026-10-03 · Slice Girls · #3 Doubles · 3.5 · with Maria Dickey
loading the estimate
6-2, 6-4
L
2026-09-28 · Spanish Hills 40 Love · #1 Doubles · 3.5 · with Kathleen Kimball
loading the estimate
2-6, 4-6
W
2026-09-26 · Slice Girls · #2 Doubles · 3.5 · with Maria Dickey
loading the estimate
6-7, 6-2, 1-0
L
2026-09-25 · Spanish Hills 40 Love · #2 Doubles · 3.5 · with Tracy Mancuso
loading the estimate
4-6, 5-7
L
2026-09-18 · Spanish Hills 40 Love · #1 Doubles · 3.5 · with Kate Torrence
loading the estimate
2-6, 6-7
L
2026-09-16 · Spanish Hills 40 Love · #1 Doubles · 3.5 · with Maria Dickey
loading the estimate
1-6, 0-6
W
2026-09-13 · Slice Girls · #3 Doubles · 3.5 · with Sandhya Patel
loading the estimate
6-2, 6-2
W
2026-09-12 · Spanish Blue · #2 Doubles · 3.5 · with Sandhya Patel
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6-3, 6-2
L
2026-09-03 · Spanish Blue · #2 Doubles · 3.5 · with Marilyn Germann
loading the estimate
6-3, 3-6, 0-1
Where you rank locallyagainst everyone at your level
Teams53 teams · 2019–2026
Over timerating by season, and how you rank
By level3 levels played
3.0
72.4%
89W–34L · 58.2% of games
3.5
36%
59W–105L · 45% of games
7.0mixed
14.3%
1W–6L · 36.5% of games

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

By lineusually #2 Doubles, 38% of the time
#2 Doubles
38%
112 matches
#1 Doubles
31%
90 matches
#3 Doubles
22%
64 matches
#1 Singles
9%
27 matches
#2 Singles
0%
1 match

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