Nancy Tendal
Add to scout listFree account. Monday email when they play.
Del Mar, CA
45 matches · 13W–32L · seasons 2019–2023
Match history45 matches
Teams13 teams · 2019–2023
2-SDNC 3.5 Lomas Santa Fe CC (2:2)/ Hindle
SDNC 3.5 Lomas Santa Fe/ Tendal (3:2)
SDNC 7.0 Lomas Santa Fe/ Hindle
SDNC 7.0 Lomas Santa Fe/ Kellogg
SDNC 3.5 Lomas Santa Fe 9AM/ Fitzgerald
SDNC 7.0 Lomas Santa Fe 9AM/ Hindle
SDNC 7.0 Lomas Santa Fe CC/ Kellogg
2-SDNC 3.5 Lomas Santa Fe (2)/ Amato
2-SDNC 8.0 Lomas Sana Fe/ Tumini
SDNC 3.5WE Lomas Santa Fe/ Sleeper
2-SDNC 8.0 Lomas Santa Fe CC/ Munce
SDNC 3.5 GNO Lomas Santa Fe/ Sleeper
SDNC 3.5WE Lomas Santa Fe/ Tendal
Over timerating by season, and how you rank
By level3 levels played
3.5
17.9%
5W–23L · 34.6% of games
7.0
40%
4W–6L · 46.7% of games
8.0mixed
57.1%
4W–3L · 50.7% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #2 Doubles, 36% of the time
#2 Doubles
36%
16 matches
#3 Doubles
31%
14 matches
#1 Doubles
20%
9 matches
#1 Singles
9%
4 matches
#2 Singles
4%
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.
Every match is a story with a beginning, a middle and an end, and you are writing it as you go.