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Christine Marlowe

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Dallas, TX
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
56 matches · 27W–29L · seasons 2022–2026
Match history56 matches
L
2026-10-23 · Team 45 T Bar M/Marlowe W3.5F · #1 Doubles · 3.5 · with Hayley Podesta
loading the estimate
5-7, 2-6
L
2026-10-21 · Team 45 T Bar M/Marlowe W3.5F · #1 Doubles · 3.5 · with Hayley Podesta
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0-6, 0-6
L
2026-10-14 · Team 45 T Bar M/Marlowe W3.5F · #1 Doubles · 3.5 · with Sabrina McCulloch
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3-6, 1-6
L
2026-09-11 · Team 45 T Bar M/Marlowe W3.5F · #3 Doubles · 3.5 · with Sally Zavattari
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1-6, 1-6
W
2026-06-25 · T Bar M/Dodgen W3.5T · #3 Doubles · 3.5 · with Heather Lindley
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3-6, 7-6, 1-0
L
2026-06-03 · T Bar M/Dodgen W3.5T · #1 Doubles · 3.5 · with Lyn Pustmueller
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0-6, 1-4
L
2026-05-14 · T Bar M/Dodgen W3.5T · #3 Doubles · 3.5 · with Christine Nevitt
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7-5, 4-6, 0-1
L
2025-10-17 · #1 Doubles · 3.5 · with Lindsey Orien
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1-6, 4-6
W
2025-10-10 · #1 Doubles · 3.5 · with Danielle Raindl
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6-4, 1-6, 1-0
W
2025-10-03 · #2 Doubles · 3.5 · with Andrea Perryman
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4-1
L
2025-09-26 · #1 Doubles · 3.0 · with Laura Hurt
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3-6, 5-7
W
2025-09-19 · #1 Doubles · 3.0 · with Hayley Podesta
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6-2, 6-1
Where you rank locallyagainst everyone at your level
Teams17 teams · 2023–2027
Over timerating by season, and how you rank
By level2 levels played
3.0
62.1%
18W–11L · 55.5% of games
3.5
33.3%
9W–18L · 40.5% of games

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

By lineusually #1 Doubles, 59% of the time
#1 Doubles
59%
33 matches
#2 Doubles
21%
12 matches
#3 Doubles
16%
9 matches
#2 Singles
4%
2 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.

What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.
Martina Navratilova