Navdeep Dandiwal
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FORT MILL, SC
62 matches · 49W–13L · seasons 2019–2025
Match history62 matches
Where you rank locallyagainst everyone at your level
Teams17 teams · 2019–2025
JLenz/DDeMaine (Jeff Adams)
DDemaine (Queens)
DNunn/JMThomas (Foxcroft East)
Refunds
JClarke/AShulz (Col Beatty)
JClarke/Dukes (Queens)
JDukes/ASchulz (Queens)
RVojjini (Queens)
JClarke/JDukes (Queens)
JDukes/MWaleksi (Queens)
JClarke (Queens)
JClarke (Queens)
JYablonski/MEvans (Queens)
JClarke (Queens)
JYablonski/MEvans (Queens)
CDey (Queens)
MBoyce/BSchomp (Queens)
Over timerating by season, and how you rank
By level6 levels played
3.5
1W–1L
not enough matches yet
4.0
78.6%
22W–6L · 64.1% of games
4.5
80%
12W–3L · 61.8% of games
7.5
80%
8W–2L · 55.5% of games
8.5
75%
3W–1L · 59.5% of games
8.0mixed
3W–0L
not enough matches yet
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #1 Singles, 39% of the time
#1 Singles
39%
24 matches
#1 Doubles
23%
14 matches
#2 Doubles
16%
10 matches
#2 Singles
16%
10 matches
#3 Doubles
7%
4 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.