Jason Fu
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Wayne, NJ
222 matches · 142W–80L · seasons 2019–2024
Match history222 matches
Where you rank locallyagainst everyone at your level
Teams50 teams · 2019–2024
*5-TKharva-Eno
Ba.Yusuf18A
LOCH.Heaphy
TING.Byrd
TOC.Nealis
4-JByrd/SLlewellyn-Eno
J.Byrd/B.Sowers
Ja.Britt40M
Ke.Nowell40C
LOCH.Newsome
St.Fu18T
TOC.Nealis
TOC.Nealis
TOC.Nealis
TOC.Raghavan
TOC.Turner
TOC.Xiao
TOHS.Byrd
10.TOC.Sankar
3.TOC.Fu
4.TOC.Cockrell
4.TOC.Nealis
JBRITT
LOCH.Baldwin
MVL.James
TOC.Fu
TOC.Fu
TOC.Raghavan
TOC.Turner
2. TOC.FU
4. TOC.FU
5. TOC.NEALIS
6. TOC.NEALIS
6. TOC.PATAKI
6. TOC.SAHA
6. TOC.SANKAR
7. TOC.SANKAR
2. TOC.FU
2. TOC.HARRIS
2. TOC.RAVELLA/GALLO
3. TOC.SAHA
4. TOC.NEALIS
5. TOC.FU
8. TOC.NEALIS
*2 EGHI Dinoflagellates
2. TOC.NEALIS
4. TOC.KHARVA
4. TOC.KHARVA
4. TOC.KHARVA
6. TOC.IRISH
Over timerating by season, and how you rank
By level7 levels played
2.5
3W–0L
not enough matches yet
3.5
66.7%
80W–40L · 57.7% of games
4.0
54.8%
23W–19L · 48.9% of games
6.5
70%
14W–6L · 59.2% of games
7.5
65.4%
17W–9L · 55.6% of games
7.0mixed
25%
1W–3L · 41.2% of games
8.0mixed
57.1%
4W–3L · 53.4% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #2 Doubles, 29% of the time
#2 Doubles
29%
65 matches
#1 Doubles
24%
54 matches
#3 Doubles
24%
53 matches
#1 Singles
16%
36 matches
#2 Singles
3%
7 matches
#3 Singles
3%
7 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.