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Grant Veltman

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Pittsburgh, PA
5.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
22 matches · 13W–9L · seasons 2021–2026
Match history22 matches
L
2026-07-26 · AMD 30 for 30 · #1 Doubles · 5.0 · with JJulius Bolock
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3-6, 6-3, 0-1
L
2026-05-17 · AMD 30 for 30 · #1 Doubles · 5.0 · with Luke Phillips
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2-6, 5-7
L
2026-05-03 · AMD 30 for 30 · #1 Doubles · 5.0 · with Christopher Perry
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6-4, 5-7, 0-1
W
2025-07-20 · Oxford T · #1 Singles · 5.0
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8-3
L
2025-07-20 · Oxford T · #1 Doubles · 5.0 · with Trent Goerk
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6-8
W
2024-07-21 · Shady Boys · #1 Singles · 5.0
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2-6, 6-4
W
2024-06-09 · Shady Boys · #1 Singles · 5.0
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6-0, 6-2
W
2023-08-06 · Oxford Nick · #1 Doubles · 5.0 · with Robert Stroup
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7-5, 6-1
W
2023-07-16 · Oxford Nick · #1 Doubles · 5.0 · with Robert Stroup
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6-1, 6-1
W
2023-06-25 · Oxford Nick · #1 Doubles · 5.0 · with Christopher Perry
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6-2, 3-6, 1-0
W
2023-06-04 · Oxford Nick · #1 Singles · 5.0
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6-4, 6-0
L
2022-06-26 · Oxford · #1 Singles · 5.0
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3-6, 3-6
Where you rank locallyagainst everyone at your level
Teams6 teams · 2021–2026
Over timerating by season, and how you rank
By level1 level played
5.0
59.1%
13W–9L · 53.5% of games

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

By lineusually #1 Doubles, 55% of the time
#1 Doubles
55%
12 matches
#1 Singles
36%
8 matches
#2 Doubles
9%
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