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Allison Danner

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Palo Alto, CA
3.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
6 matches · 0W–6L · seasons 2022–2023
Match history6 matches
L
2023-03-05 · STANFORD-CRA 40AW3.5A · #1 Doubles · 3.5 · with Robin Cooke
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1-6, 0-6
L
2023-02-25 · STANFORD-CRA 40AW3.5A · #3 Doubles · 3.5 · with Susan Wrubel
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5-7, 0-6
L
2023-01-21 · STANFORD-CRA 40AW3.5A · #3 Doubles · 3.5 · with Clare Warner
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3-6, 0-6
L
2022-06-12 · UNIVERSITY CLUB PA 18AW3.5A · #1 Singles · 3.5
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0-6, 2-6
L
2022-06-05 · UNIVERSITY CLUB PA 18AW3.5A · #1 Singles · 3.5
loading the estimate
1-6, 0-6
L
2022-05-15 · UNIVERSITY CLUB PA 18AW3.5A · #2 Doubles · 3.5 · with Hillary Freeman
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1-6, 2-6
Where you rank locallyagainst everyone at your level
Teams2 teams · 2022–2023
Over timerating by season, and how you rank
By level1 level played
3.5
0%
0W–6L · 17% of games

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

By lineusually #1 Singles, 33% of the time
#1 Singles
33%
2 matches
#3 Doubles
33%
2 matches
#1 Doubles
17%
1 match
#2 Doubles
17%
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