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Tara Lineweaver

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Indianapolis, IN
3.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
19 matches · 3W–16L · seasons 2019–2023
Match history19 matches
L
2023-07-19 · #1 Doubles · 3.5 · with Angela Luchik
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4-6, 3-6
L
2023-07-17 · #2 Doubles · 3.5 · with Jean Allen
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3-6, 2-6
L
2023-06-21 · #2 Doubles · 3.5 · with Jean Allen
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4-6, 2-6
L
2023-06-14 · #1 Doubles · 3.5 · with Lisa VanderMeer
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1-6, 1-6
L
2023-05-24 · #2 Doubles · 3.5 · with Jean Allen
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2-6, 4-6
L
2023-05-17 · #1 Doubles · 3.5 · with Angela Luchik
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4-6, 3-6
L
2023-03-18 · #1 Doubles · 3.5 · with Becky Peterson
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6-7, 0-6
L
2023-03-11 · #1 Doubles · 3.5 · with Becky Peterson
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3-6, 3-6
L
2023-03-04 · #1 Doubles · 3.5 · with Becky Peterson
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2-6, 2-6
L
2023-02-25 · #1 Doubles · 3.5 · with Lisa Goldenberg
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6-4, 2-6, 0-1
L
Sheri Faulkenberg / Kristen Senetar
2023-02-18 · #2 Doubles · 3.5 · with Jean Allen
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1-6, 3-6
L
2023-02-11 · #1 Doubles · 3.5 · with Jean Allen
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3-6, 3-6
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.5
15.8%
3W–16L · 36.5% of games

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

By lineusually #1 Doubles, 53% of the time
#1 Doubles
53%
10 matches
#2 Doubles
32%
6 matches
#1 Singles
11%
2 matches
#3 Doubles
5%
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.

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