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Randall Lovas

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San Diego, CA
4.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
21 matches · 10W–11L · seasons 2025–2026
Match history21 matches
L
2026-10-25 · SDNC 4.0 RBS&TC/ Louis · #1 Doubles · 4.0 · with Tom Hillebrecht
loading the estimate
5-7, 2-6
L
2026-10-10 · SDNC LLW 8.0 RBS&TC/ Hackett · #2 Doubles · 8.0 · with Scott Hansen
loading the estimate
6-4, 2-2
W
2026-10-03 · SDNC LLW 8.0 RBS&TC/ Hackett · #3 Doubles · 8.0 · with John Newman
loading the estimate
6-3, 6-3
W
2026-09-26 · SDNC LLW 8.0 RBS&TC/ Hackett · #1 Doubles · 8.0 · with Tim Hackett
loading the estimate
6-4, 6-2
W
2026-09-19 · SDNC LLW 8.0 RBS&TC/ Hackett · #3 Doubles · 8.0 · with John Newman
loading the estimate
6-1, 6-2
W
2026-09-05 · SDNC LLW 8.0 RBS&TC/ Hackett · #1 Doubles · 8.0 · with John Newman
loading the estimate
6-4, 6-2
L
2026-05-17 · SDNC 4.0 RBS&TC (3:2)/ Ramsayer · #2 Doubles · 4.0 · with Trung Vu
loading the estimate
2-6, 3-6
L
2026-04-12 · SDNC 4.0 RBS&TC (3:2)/ Ramsayer · #2 Doubles · 4.0 · with Rick Sauer
loading the estimate
5-7, 3-6
L
2025-12-14 · SDNC 4.0 RBS&TC/ Logan · #1 Doubles · 4.0 · with Rick Sauer
loading the estimate
6-2, 2-6, 0-1
L
2025-11-23 · SDNC 4.0 RBS&TC/ Logan · #1 Doubles · 4.0 · with Anil Arcalgud
loading the estimate
4-6, 0-6
L
2025-11-09 · SDNC 4.0 RBS&TC/ Logan · #1 Doubles · 4.0 · with Alex Hutcheson
loading the estimate
3-6, 4-6
W
2025-11-02 · SDNC 4.0 RBS&TC/ Logan · #2 Doubles · 4.0 · with Steven Hoang
loading the estimate
6-3, 6-3
Where you rank locallyagainst everyone at your level
Teams9 teams · 2025–2026
Over timerating by season, and how you rank
By level2 levels played
4.0
33.3%
4W–8L · 48.1% of games
8.0
66.7%
6W–3L · 58.6% of games

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

By lineusually #1 Doubles, 57% of the time
#1 Doubles
57%
12 matches
#2 Doubles
33%
7 matches
#3 Doubles
10%
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.

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