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Mary Johnson

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Chapel Hill, NC
3.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
8 matches · 3W–5L · seasons 2019–2024
Match history8 matches
L
2024-04-04 · *4-Koo/Shaw-UNC · #3 Doubles · 3.0 · with Helen Koo
loading the estimate
6-7, 0-6
L
2024-03-21 · *4-Koo/Shaw-UNC · #3 Doubles · 3.0 · with Susan Berry
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5-7, 5-7
L
2024-02-29 · *4-Koo/Shaw-UNC · #3 Doubles · 3.0 · with Susan Berry
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6-2, 3-6, 0-1
L
2020-03-10 · *3 ESBE Lobsters · #2 Doubles · 3.0 · with Diana Knechtel
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3-6, 4-6
W
2019-05-14 · *4 ESBE Lobsters 2019 · #2 Doubles · 3.0 · with Bonnie Gould
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3-6, 6-3, 1-0
W
Teresa Ritter / Linda Moore
2019-04-17 · *4 ESBE Lobsters 2019 · #3 Doubles · 3.0 · with Lyn Billings
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6-3, 6-0
W
2019-03-30 · *4 ESBE Lobsters 2019 · #2 Doubles · 3.0 · with Bonnie Gould
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6-2, 7-5
L
2019-03-28 · *1 EHKO Golden Aces · #3 Doubles · 3.0 · with Helen Koo
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1-6, 1-6
Where you rank locallyagainst everyone at your level
Teams5 teams · 2019–2024
Over timerating by season, and how you rank
By level1 level played
3.0
37.5%
3W–5L · 46.6% of games

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

By lineusually #3 Doubles, 63% of the time
#3 Doubles
63%
5 matches
#2 Doubles
38%
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.

Losing is not my enemy. Fear of losing is my enemy.
Rafael Nadal