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Libby Andrew

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Duxbury, MA
2.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
5 matches · 0W–5L · seasons 2023–2023
Match history5 matches
L
2023-06-28 · KIG:Kingsbury:Spagnoli · #2 Singles · 3.0
loading the estimate
1-6, 1-6
L
2023-06-21 · KIG:Kingsbury:Spagnoli · #2 Singles · 3.0
loading the estimate
3-6, 2-6
L
2023-05-31 · KIG:Kingsbury:Spagnoli · #2 Doubles · 3.0 · with Kaylan Gillespie
loading the estimate
2-6, 3-6
L
2023-05-24 · KIG:Kingsbury:Spagnoli · #2 Doubles · 3.0 · with Alissa Merrick
loading the estimate
0-6, 7-6, 0-1
L
2023-05-17 · KIG:Kingsbury:Spagnoli · #3 Doubles · 3.0 · with Jessica Spagnoli
loading the estimate
2-6, 4-6
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.0
0%
0W–5L · 29.1% of games

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

By lineusually #2 Doubles, 40% of the time
#2 Doubles
40%
2 matches
#2 Singles
40%
2 matches
#3 Doubles
20%
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.

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