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Vaughn Deary

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Flower Mound, TX
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
105 matches · 57W–48L · seasons 2021–2026
Match history105 matches
L
2026-09-12 · WAG MAYER · #3 Doubles · 4.0 · with Garth Shipley
loading the estimate
3-6, 4-6
L
2026-04-11 · WAG MAYER · #2 Doubles · 4.0 · with Peter Zafiridis
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4-6, 3-6
W
2026-04-08 · WAG MAYER · #2 Doubles · 4.0 · with Andy Chapa
loading the estimate
3-6, 7-5, 1-0
W
2026-03-14 · WAG MAYER · #3 Doubles · 4.0 · with Peter Zafiridis
loading the estimate
3-6, 7-5, 1-0
W
2026-02-15 · RTC LEWIS (silver alerts) · #1 Doubles · 7.0 · with Bo Moseley
loading the estimate
6-2, 2-6, 1-0
L
2026-02-08 · RTC LEWIS (silver alerts) · #1 Doubles · 7.0 · with Michael Lewis
loading the estimate
2-6, 4-6
L
2026-02-07 · WAG MAYER · #2 Doubles · 4.0 · with Ratnadeep Kundu
loading the estimate
2-6, 3-6
L
2026-02-01 · RTC LEWIS (silver alerts) · #2 Doubles · 7.0 · with Bo Moseley
loading the estimate
2-6, 0-6
W
2026-01-22 · RTC LEWIS (silver alerts) · #2 Doubles · 7.0 · with Bo Moseley
loading the estimate
6-0, 6-3
L
2026-01-17 · WAG MAYER · #1 Doubles · 4.0 · with Matt Stone
loading the estimate
2-6, 6-7
W
2026-01-11 · RTC LEWIS (silver alerts) · #1 Doubles · 7.0 · with Michael Lewis
loading the estimate
6-2, 6-3
L
2026-01-10 · WAG MAYER · #3 Doubles · 4.0 · with Bhaskar Sarkar
loading the estimate
4-6, 0-6
Where you rank locallyagainst everyone at your level
Teams27 teams · 2020–2027
Over timerating by season, and how you rank
By level3 levels played
3.5
58.9%
33W–23L · 55.6% of games
4.0
33.3%
9W–18L · 42.8% of games
7.0
68.2%
15W–7L · 56.1% of games

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

By lineusually #1 Doubles, 40% of the time
#1 Doubles
40%
42 matches
#2 Doubles
26%
27 matches
#3 Doubles
22%
23 matches
#1 Singles
10%
10 matches
#2 Singles
3%
3 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