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Stephen Heasley

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Pittsburgh, PA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
15 matches · 2W–13L · seasons 2023–2026
Match history15 matches
L
2026-06-13 · Lakevue · #1 Doubles · 3.5 · with Sylvain Rovera
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2-6, 6-7
L
2026-06-06 · Lakevue · #2 Doubles · 3.5 · with David Palmerton
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7-5, 2-6, 0-1
L
2026-05-16 · Lakevue · #1 Doubles · 3.5 · with Meng Lee
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5-7, 2-6
L
2025-07-12 · #2 Singles · 3.5
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0-6, 4-6
L
2025-05-03 · #2 Doubles · 3.5 · with Hermes Cordoba
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1-6, 2-6
L
2025-04-27 · #1 Doubles · 3.5 · with John Zoll
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1-6, 3-6
L
2024-07-28 · #1 Doubles · 3.5 · with Anthony Kulfan
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2-6, 3-6
L
2024-07-14 · #1 Singles · 3.5
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1-6, 0-6
W
2024-06-23 · #2 Singles · 3.5
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6-1, 6-4
L
2024-05-05 · #2 Doubles · 3.5 · with Gary Ferguson
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0-6, 6-7
L
2024-04-28 · #1 Singles · 3.5
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1-6, 2-6
L
2023-07-30 · #1 Doubles · 3.5 · with Stephen Nalepa
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2-6, 0-6
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.5
13.3%
2W–13L · 33.9% of games

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

By lineusually #1 Doubles, 40% of the time
#1 Doubles
40%
6 matches
#2 Singles
27%
4 matches
#2 Doubles
20%
3 matches
#1 Singles
13%
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.

The mark of great sportsmen is not how good they are at their best, but how good they are at their worst.
Martina Navratilova