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Kim Teague

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Mount Pleasant, SC
4.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
202 matches · 92W–110L · seasons 2019–2026
Match history202 matches
L
2026-10-30 · LCTA54/Mears/Dunes West · #1 Doubles · 4.0 · with Carolyn Fennell
loading the estimate
1-6, 4-6
W
2026-10-09 · LCTA54/Mears/Dunes West · #2 Doubles · 4.0 · with Carolyn Fennell
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6-3, 6-4
L
2026-10-02 · LCTA54/Mears/Dunes West · #3 Doubles · 4.0 · with Alexandra Mears
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6-3, 5-7, 0-1
W
2026-06-10 · LCTA65/Williamson/MPR · #2 Doubles · 4.0 · with Debra Mulholland
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6-4, 6-1
L
2026-05-20 · LCTA65/Williamson/MPR · #3 Doubles · 4.0 · with Debra Mulholland
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6-0, 1-6, 0-1
L
2026-05-13 · LCTA65/Williamson/MPR · #1 Doubles · 4.0 · with Debra Mulholland
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3-6, 4-6
L
2026-05-12 · LCTA65/Williamson/MPR · #2 Doubles · 4.0 · with Becky Montgomery
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6-7, 2-6
L
2026-04-13 · LCTA40/Singer/Dunes West · #2 Doubles · 4.0 · with Alexandra Mears
loading the estimate
3-6, 2-6
W
2026-04-10 · LCTA55/Mears/Dunes West · #2 Doubles · 4.0 · with Betty Randolph
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6-3, 6-1
L
2026-04-06 · LCTA40/Singer/Dunes West · #1 Singles · 4.0
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5-7, 3-6
L
2026-03-27 · LCTA55/Mears/Dunes West · #2 Doubles · 4.0 · with Betty Randolph
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3-6, 6-2, 0-1
L
2026-03-23 · LCTA40/Singer/Dunes West · #2 Doubles · 4.0 · with Betty Randolph
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6-2, 3-6, 0-1
Where you rank locallyagainst everyone at your level
Teams31 teams · 2019–2026
Over timerating by season, and how you rank
By level7 levels played
2.5
80%
4W–1L · 59.4% of games
3.0
20%
1W–4L · 49% of games
3.5
88.9%
8W–1L · 68.5% of games
4.0
46.8%
66W–75L · 48.9% of games
6.5
0%
0W–4L · 24.6% of games
7.5
40%
12W–18L · 49.3% of games
8.0mixed
12.5%
1W–7L · 35.8% of games

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

By lineusually #1 Singles, 29% of the time
#1 Singles
29%
58 matches
#2 Doubles
24%
49 matches
#3 Doubles
21%
43 matches
#1 Doubles
19%
39 matches
#2 Singles
5%
10 matches
#4 Doubles
2%
3 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.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer