Teams

Zhang

2026 Howard Combo Mixed · Howard Combo Mixed 8.5

18 players · average NTRP 4.29 / MARYLAND

View scouting list →
Schedule5 played
2026-09-01vs DaRosso - Matties’ BaddiesSplit 11
W#1 DoublesFarzaneh Navid / Neel Parikh vs Emily Loring / Hunter Shelton6-4, 6-2
L#2 DoublesChristopher Bullman / Caitlin Lee vs Kimberly Kinnear / Ji Cha4-6, 6-7
W#1 DoublesDel Carden / Jennifer Lee vs Christopher Lee / Pamela Dean7-5, 6-2
W#2 DoublesEve Helmer / Zeyu Zhang vs Renaldo Savady / Carolyn Greis6-2, 6-3
W#1 DoublesAna Maria Pena Castro / Joshua Zoltek vs Dao Phan-Vissering / Scott Mennealy6-1, 6-2
W#2 DoublesJustin Cady / Caitlin Lee vs Julia Potter / Juan Jose Tijero6-2, 7-5
W#3 DoublesMichelle Cameron / Daniel Park vs Ricardo Green / Margie Davis7-5, 6-1
2026-08-14vs HocoCha 8.5XWon 21
L#1 DoublesEve Helmer / Zeyu Zhang vs Koby Bonta / Wenxi Li3-6, 7-5, 0-1
W#2 DoublesDian Zhang / Leonard Tetteh vs Eric DesRoberts / Corinne Chau6-2, 6-1
W#3 DoublesJoshua Zoltek / Caitlin Lee vs Virginia Fung / Qi Hua6-1, 6-3
2026-08-11vs DaRosso - Matties’ BaddiesWon 30
W#1 DoublesNeel Parikh / Michelle Cameron vs Julie Lazer / Mitchell Furst7-6, 4-5, 1-0
W#2 DoublesDian Zhang / Leonard Tetteh vs Matthew DaRosso / Lauren Gurney6-1, 6-1
W#3 DoublesDerek Johnson / Eve Helmer vs Hunter Shelton / Samantha Gass6-3, 6-1
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for Howard Combo Mixed 8.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 4.19 estimated across 16 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

4.52
Caitlin Lee
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
4.49
Eve Helmer
usually #3 Doubles 33%, also #1 Doubles 33% · published 5
4.40
Del Carden
usually #1 Doubles 100% · published 4.5
4.39
Luis Lozano
published
4.38
Eboni Lance
published 4.5
4.30
Ana Maria Pena Castro
usually #1 Doubles 100% · published 4.5
4.27
Leonard Tetteh
usually #2 Doubles 100% · published 4.5
4.24
Ryan Cinoman
published 4.5
4.22
Neel Parikh
usually #1 Doubles 100% · published
4.19
Michelle Cameron
usually #1 Doubles 50%, also #3 Doubles 50% · published
4.13
Joshua Zoltek
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
4.08
Farzaneh Navid
usually #1 Doubles 100% · published 4
3.98
Christopher Bullman
usually #2 Doubles 100% · published 4
3.92
Dian Zhang
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.84
Derek Johnson
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.75
Justin Cady
usually #2 Doubles 100% · published
Jessica Lee
published
Zeyu Zhang
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Leonard Tetteh + Dian Zhang8163% games+18.4% vs expected
Eboni Lance + Joshua Zoltek5453% games+9.0% vs expected
Leonard Tetteh + Eve Helmer10654% games+6.4% vs expected
Eboni Lance + Derek Johnson5261% games−1.3% vs expected
Farzaneh Navid + Justin Cady4353% games−1.5% vs expected
Farzaneh Navid + Joshua Zoltek11160% games−3.4% vs expected
Eboni Lance + Leonard Tetteh7453% gamesnot enough data
Farzaneh Navid + Christopher Bullman314 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4.5
Caitlin Lee
13W–6L career · 3 lines in 2026
<1%44%56%
4.52
5
Eve Helmer
276W–134L career · type D · 3 lines in 2026
no projection at this level
4.49
4.5
Del Carden
62W–36L career · 1 line in 2026
<1%76%24%
4.40
Luis Lozano
67W–31L career · no lines in 2026
<1%78%21%
4.39
4.5
Eboni Lance
355W–213L career · no lines in 2026
<1%79%20%
4.38
4.5
Ana Maria Pena Castro
43W–23L career · 1 line in 2026
1%90%8%
4.30
4.5
Leonard Tetteh
336W–208L career · 2 lines in 2026
3%92%5%
4.27
4.5
Ryan Cinoman
125W–85L career · no lines in 2026
4%92%3%
4.24
Neel Parikh
16W–9L career · 2 lines in 2026
6%92%2%
4.22
Michelle Cameron
20W–6L career · 2 lines in 2026
9%90%1%
4.19
4
Joshua Zoltek
236W–137L career · 2 lines in 2026
<1%19%81%
4.13
4
Farzaneh Navid
117W–111L career · 1 line in 2026
<1%28%72%
4.08
4
Christopher Bullman
185W–78L career · 1 line in 2026
<1%57%43%
3.98
4
Dian Zhang
228W–109L career · 4 lines in 2026
<1%72%28%
3.92
3.5
Derek Johnson
58W–15L career · 2 lines in 2026
<1%1%99%
3.84
Justin Cady
27W–19L career · 2 lines in 2026
4%93%4%
3.75
Jessica Lee
2W–1L career · no lines in 2026
not enough data
Zeyu Zhang
6W–0L career · no lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

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.