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Dana Diefenbach

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Pottstown, PA
2.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
19 matches · 10W–9L · seasons 2022–2023
Match history19 matches
L
2023-08-01 · #3 Doubles · 3.0 · with Jessica Mash
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4-6, 6-0, 0-1
W
2023-06-17 · #3 Doubles · 3.0 · with Zyonna Boykin
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6-2, 6-0
L
2023-06-03 · #2 Singles · 3.0
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0-6, 1-6
W
2023-05-20 · #2 Singles · 3.0
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1-6, 7-6, 1-0
W
Chelsea Reynolds
2023-05-13 · #2 Singles · 3.0
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6-3, 3-6, 1-0
L
2023-05-06 · #1 Singles · 3.0
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1-6, 1-6
W
2023-04-29 · #1 Singles · 3.0
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4-6, 6-3, 1-0
W
2023-04-25 · Mood Swings · #1 Singles · 2.5
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6-2, 6-1
W
Christine Sterenczak
2023-04-22 · #2 Singles · 3.0
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6-0, 6-2
W
2023-04-15 · #3 Doubles · 3.0 · with Jessica Mash
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6-2, 6-4
W
2023-04-11 · Mood Swings · #1 Doubles · 2.5 · with Allie Moppert Corabi
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6-2, 6-4
W
2023-02-28 · Mood Swings · #1 Singles · 2.5
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4-6, 6-2, 1-0
Where you rank locallyagainst everyone at your level
Teams2 teams · 2023–2025
Over timerating by season, and how you rank
By level2 levels played
2.5
40%
4W–6L · 47.5% of games
3.0
66.7%
6W–3L · 52.7% of games

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

By lineusually #1 Singles, 53% of the time
#1 Singles
53%
10 matches
#2 Singles
21%
4 matches
#3 Doubles
16%
3 matches
#1 Doubles
5%
1 match
#2 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.

I really think a champion is defined not by their wins but by how they can recover when they fall.
Serena Williams