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Jeffrey Liles

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Raleigh, NC
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
41 matches · 23W–18L · seasons 2019–2026
Match history41 matches
L
2026-04-21 · Da.Huffman55A · #1 Doubles · 3.5 · with Dane Huffman
loading the estimate
6-4, 2-6, 0-1
W
2025-04-29 · Da.Huffman55A · #3 Doubles · 3.5 · with Scott Abee
loading the estimate
6-3, 7-5
L
2025-04-21 · DaHuffman40A · #2 Doubles · 3.5 · with Dane Huffman
loading the estimate
4-6, 1-6
L
2025-04-08 · Da.Huffman55A · #2 Doubles · 3.5 · with Billy Hinson
loading the estimate
4-6, 3-6
L
2025-03-18 · Da.Huffman55A · #2 Doubles · 3.5 · with Allen McMillen
loading the estimate
4-6, 3-6
W
2025-03-11 · Da.Huffman55A · #3 Doubles · 3.5 · with Scott Abee
loading the estimate
6-3, 6-3
L
2024-04-01 · Da.Huffman40A · #1 Singles · 3.5
loading the estimate
0-6, 0-6
L
2024-03-19 · Da.Huffman55A · #1 Doubles · 3.5 · with Dane Huffman
loading the estimate
3-6, 3-6
L
2022-09-14 · NHC-Huffman · #3 Doubles · 7.5 · with Larry Gregory Williams
doesn’t count toward your NTRP rating
2-6, 5-7
L
2022-08-31 · NHC-Huffman · #2 Doubles · 7.5 · with Gregory Kash
doesn’t count toward your NTRP rating
2-6, 1-6
W
2022-08-20 · NHC-Huffman · #2 Doubles · 7.5 · with Gregory Kash
doesn’t count toward your NTRP rating
7-5, 6-4
W
Paul Sullivan / Jay Risinger
2022-05-12 · DHuffman/NHC · #2 Doubles · 3.5 · with Stewart Marlowe
loading the estimate
6-4, 6-2
Where you rank locallyagainst everyone at your level
Teams14 teams · 2019–2026
Over timerating by season, and how you rank
By level3 levels played
3.5
60.7%
17W–11L · 54.2% of games
7.5
50%
3W–3L · 45.1% of games
7.0mixed
42.9%
3W–4L · 46.9% of games

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

By lineusually #2 Doubles, 42% of the time
#2 Doubles
42%
17 matches
#3 Doubles
29%
12 matches
#1 Doubles
17%
7 matches
#2 Singles
7%
3 matches
#1 Singles
5%
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