Teams

BTA-Aziz

2022 Coed 18-39 · 3.0 Coed

7 players · average NTRP 3.20 / NORTHWEST WASHINGTON

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Schedule6 played
2022-03-12vs BTA-Lau and OrderLost 12
L#1 Female DoublesAmy Chang / Donna Kim vs Jessmin Lau / Anita Zhen2-6
L#1 Female SinglesAmy Chang vs Anita Zhen2-6
W#1 Male DoublesZain Aziz / Zohair Mokarim vs Zhihan Li / Prateek Singhal6-1
2022-02-26vs ETC-etera et cetera-KamoSplit 11
L#1 Female SinglesDonna Kim vs Katharine Mancini1-6
W#1 Male DoublesZain Aziz / Zohair Mokarim vs Kiffin Chu / Stefan Huynh6-5
2022-02-12vs ETC-etera et cetera-KamoSplit 11
L#1 Female DoublesAmy Chang / Donna Kim vs Jutta Maas / Katharine Mancini0-6
W#1 Male DoublesZain Aziz / Zohair Mokarim vs Simon Hsu / Garrett Thompson6-2
2022-02-06vs ETC-etera et cetera-KamoSplit 11
L#1 Female DoublesAmy Chang / Donna Kim vs Jutta Maas / Cat Zhang3-6
W#1 Male DoublesZain Aziz / Ravendar Lal vs Norris Kamo / Garrett Thompson6-3
2022-01-17vs BTA-Lau and OrderLost 12
L#1 Female DoublesDonna Kim / Amy Chang vs Jessmin Lau / Anita Zhen0-6
W#1 Male DoublesZain Aziz / Zohair Mokarim vs Prateek Singhal / Bruce Saberton6-0
L#2 Mixed DoublesDonna Kim / Ravendar Lal vs Anita Zhen / Bruce Saberton3-6
2022-01-09vs BTA-Lau and OrderSplit 11
L#1 Female DoublesRachelle Muzones / Amy Chang vs Jessmin Lau / Anita Zhen3-6
W#1 Male DoublesZohair Mokarim / Zain Aziz vs Rick Miaw / Bruce Saberton6-3
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 standings3 teams · 3.0 Coed
TeamWLInd. WInd. LSets lostGames lost
1BTA-Lau and Order06211515144
2ETC-etera et cetera-Kamo06171919154
3BTA-Aziz06162020162

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 2.98 estimated across 6 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.

3.41
Donna Kim
usually #1 Female Doubles 80%, also #1 Female Singles 20% · published 3.5
3.40
Zohair Mokarim
usually #1 Male Doubles 100% · published 3.5
3.26
Zain Aziz
usually #1 Male Doubles 100% · published 3.5
Amy Chang
usually #1 Female Doubles 80%, also #1 Female Singles 20% · published 3
2.74
Naveed Aziz
published
2.65
Ravendar Lal
usually #2 Mixed Doubles 50%, also #1 Male Doubles 50% · published
2.39
Melissa Saelzer
published 2.5
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.

Zain Aziz + Zohair Mokarim5073% gamesnot enough data
Donna Kim + Amy Chang044 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.

3.5
Donna Kim
139W–83L career · 5 lines in 2022
<1%75%24%
3.41
3.5
Zohair Mokarim
44W–16L career · 5 lines in 2022
<1%77%23%
3.40
3.5
Zain Aziz
77W–35L career · 6 lines in 2022
2%94%3%
3.26
3
Amy Chang
39W–47L career · 5 lines in 2022
not enough data
Naveed Aziz
9W–19L career · no lines in 2022
3%94%2%
2.74
Ravendar Lal
19W–39L career · 2 lines in 2022
13%87%<1%
2.65
2.5
Melissa Saelzer
29W–41L career · no lines in 2022
0%80%20%
2.39

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.