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Brad Dancy

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Hickory, NC
3.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
30 matches · 13W–17L · seasons 2021–2023
Match history30 matches
L
2023-04-20 · Womack/HCP/Foothills · #1 Doubles · 4.0 · with Chad Dancy
loading the estimate
1-6, 2-6
L
2023-04-06 · Womack/HCP/Foothills · #1 Doubles · 4.0 · with Chad Dancy
loading the estimate
1-6, 1-6
W
2023-03-30 · Womack/HCP/Foothills · #2 Doubles · 4.0 · with Chad Dancy
loading the estimate
6-4, 7-5
L
2023-03-23 · Womack/HCP/Foothills · #3 Doubles · 4.0 · with Mark Eckard
loading the estimate
4-6, 3-6
L
2023-03-09 · Womack/HCP/Foothills · #1 Doubles · 4.0 · with Chad Dancy
loading the estimate
3-6, 4-6
L
2023-03-02 · Womack/HCP/Foothills · #1 Singles · 4.0
loading the estimate
3-6, 1-6
L
2022-09-07 · Sigmon/HCP/Foothills · #3 Doubles · 7.5 · with Fernando Desousa
doesn’t count toward your NTRP rating
2-6, 2-6
L
2022-04-28 · Smith/HCP/Foothills · #3 Doubles · 4.0 · with Ryan Richardson
loading the estimate
0-6, 2-6
W
2022-04-14 · Smith/HCP/Foothills · #3 Doubles · 4.0 · with Ryan Richardson
loading the estimate
7-6, 6-4
L
2022-04-07 · Smith/HCP/Foothills · #1 Doubles · 4.0 · with Ryan Richardson
loading the estimate
1-6, 2-6
L
2022-03-10 · Smith/HCP/Foothills · #1 Singles · 4.0
loading the estimate
3-6, 1-6
L
2022-02-26 · Smith/HCP/Foothills · #3 Doubles · 4.0 · with Joseph Abernethy
loading the estimate
3-6, 4-6
Where you rank locallyagainst everyone at your level
Teams7 teams · 2021–2023
Over timerating by season, and how you rank
By level4 levels played
2.5
0%
0W–4L · 44.7% of games
3.5
80%
8W–2L · 57.5% of games
4.0
18.2%
2W–9L · 33.9% of games
7.5
60%
3W–2L · 54.9% of games

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

By lineusually #3 Doubles, 37% of the time
#3 Doubles
37%
11 matches
#1 Doubles
33%
10 matches
#2 Doubles
23%
7 matches
#1 Singles
7%
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