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Pamela McNeill

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Woodstock, GA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
230 matches · 120W–110L · seasons 2018–2026
Match history230 matches
W
2026-10-23 · Harrison (Gloria Beauchene)* · #3 Doubles · 3.5 · with Gloria Beauchene
loading the estimate
6-4, 6-2
L
2026-10-21 · Harrison (Leona Zivitz)* · #3 Doubles · 3.5 · with Gloria Beauchene
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1-6, 6-7
L
2026-10-16 · Harrison (Gloria Beauchene)* · #1 Doubles · 3.5 · with Joyce Arwari
loading the estimate
0-6, 3-6
W
2026-10-14 · Harrison (Leona Zivitz)* · #1 Doubles · 3.5 · with Dani Hopkins-robertson
loading the estimate
7-6, 6-4
W
2026-10-07 · Harrison (Leona Zivitz)* · #1 Doubles · 3.5 · with Dani Hopkins-robertson
loading the estimate
6-1, 6-4
W
2026-10-02 · Harrison (Gloria Beauchene)* · #2 Doubles · 3.5 · with Missy Coy
loading the estimate
6-1, 6-4
L
2026-09-25 · Harrison (Gloria Beauchene)* · #2 Doubles · 3.5 · with Gayle Ellis
loading the estimate
3-6, 4-6
L
2026-09-18 · Harrison (Gloria Beauchene)* · #1 Doubles · 3.5 · with Missy Coy
loading the estimate
4-6, 1-6
L
2026-07-21 · Harrison TC (Leona Zivitz)* · #1 Doubles · 3.5 · with Kathy Hanks
loading the estimate
0-6, 1-6
W
2026-07-07 · Harrison TC (Leona Zivitz)* · #1 Doubles · 3.5 · with Gayle Ellis
loading the estimate
6-4, 6-0
W
2026-06-26 · Harrison TC (Leona Zivitz)* · #2 Doubles · 3.5 · with Sandy Goldstein
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6-4, 4-6, 6-1
L
2026-06-23 · Harrison TC (Leona Zivitz)* · #1 Doubles · 3.5 · with Missy Coy
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3-6, 4-6
Where you rank locallyagainst everyone at your level
Teams19 teams · 2019–2027
Over timerating by season, and how you rank
By level2 levels played
3.5
55.6%
95W–76L · 52.6% of games
4.0
42.4%
25W–34L · 47.8% of games

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

By lineusually #1 Doubles, 66% of the time
#1 Doubles
66%
152 matches
#2 Doubles
24%
54 matches
#3 Doubles
10%
23 matches
#4 Doubles
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.

I really think a champion is defined not by their wins but by how they can recover when they fall.
Serena Williams