Teams

SCWB-Gay 40&O 70 Mix F

2026 aSEM MIX WINTER 40 & OVER · 2026 70 MIXED 40 & OVER SEM F

17 players · average NTRP 3.50 / S.E. MICHIGAN

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule3 played
2026-03-29vs SCWB-Smith 40&O 70 MixLost 02
L#1 DoublesBilal Memon / Christine Susalla vs Martin Dunlap / Danielle Klyce4-6, 2-6
L#3 DoublesAdam Zebari / Olga Bikhleyzer vs Allen Alston / Tracie Hightower3-6, 7-5, 0-1
2026-03-08Lost 01
L#3 DoublesAdam Zebari / Jen Zebari vs Gregory King / Tracy Jackson4-6, 2-6
2026-02-01vs TROY-Li 40&O 70 Mix FSplit 11
W#1 DoublesBilal Memon / Danielle Smith-Elliott vs Gbenga Ogunyanwo / Ana Rotar7-5, 7-5
L#3 DoublesHector Verde / Minlu Chen vs Robert Herrington / Kristen Yablonski3-6, 3-6
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 standings19 teams · 2026 70 MIXED 40 & OVER SEM F
TeamWLInd. WInd. LSets lostGames lost
1LIB-Marley 40&O 70 Mix F84231332304
2EAST-Thomas 40&0 70 Mix F84221435314
3WESS-Brown 40&O 70 Mix F7120413159
4LIB-Katakowski 40&O 70 Mix F75201637317
5HV-King 40&O Mix F75181843342
6TROY-Vondell 40&O 70 Mix F6216818191
7FAC-Stieber 40&O 70 Mix F6216820204
8PH-Davies 40&O 70 Mix F66181839330
9PEACH-Gaines 40&O 70 Mix F66162046359
10SCWB-Smith 40&O 70 Mix44121226219
11TROY-Li 40&O 70 Mix F44121226231
12SCWB-Gay 40&O 70 Mix F44101430231
13EAST-Zampardo 40&O 70 Mix48162045360
14SCWB-Tagawa 40&O 70 Mix F35101432248
15FAC-Ross 40&O 70 Mix F3581637261
16BT-Watson 40&O 70 Mix F26101429233
17HV-Bieniek 40&O 70 Mix F210112555385
18LT-Anderson 40&0 70 Mix F1761839267
19DEER-Bjoern 40&O 70 Mix F000000

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 3.24 estimated across 15 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.

3.97
Nisha Jam
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.50
Nadia Alchy
usually #2 Doubles 100% · published 3.5
3.48
Christine Susalla
usually #1 Doubles 71%, also #2 Doubles 29% · published 3.5
3.44
Danielle Smith-Elliott
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
Hector Verde
usually #3 Doubles 100% · published 3.5
3.25
Olga Bikhleyzer
usually #2 Doubles 60%, also #3 Doubles 40% · published 3.5
3.23
Jeffrey Rooke
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.21
Bilal Memon
usually #1 Doubles 100% · published 3.5
3.19
Julian Gay
usually #2 Doubles 60%, also #1 Doubles 20% · published 3.5
3.14
Ravinder Sharma
usually #3 Doubles 100% · published
3.12
Alexis Ducharme
usually #3 Doubles 100% · published 3.5
3.08
Brenda Hodges
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.07
Jen Zebari
usually #3 Doubles 100% · published 3.5
2.99
Adam Zebari
usually #3 Doubles 100% · published 3.5
2.98
Minlu Chen
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.96
Beomseok Baig
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
Joerg Schmidt
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.

Julian Gay + Danielle Smith-Elliott5260% games+13.4% vs expected
Brenda Hodges + Julian Gay3256% games+10.8% vs expected
Jen Zebari + Adam Zebari12850% games+3.8% vs expected
Nisha Jam + Joerg Schmidt7071% gamesnot enough data
Minlu Chen + Hector Verde2450% gamesnot enough data
Ravinder Sharma + Olga Bikhleyzer213 matchesnot enough data
Olga Bikhleyzer + Julian Gay123 matchesnot enough data
Olga Bikhleyzer + Beomseok Baig213 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
Nisha Jam
136W–73L career · 3 lines in 2026
<1%59%41%
3.97
3.5
Nadia Alchy
132W–90L career · 1 line in 2026
<1%50%50%
3.50
3.5
Christine Susalla
17W–12L career · 7 lines in 2026
<1%57%43%
3.48
3.5
Danielle Smith-Elliott
43W–34L career · 4 lines in 2026
<1%67%33%
3.44
3.5
Hector Verde
2W–2L career · type S · 1 line in 2026
not enough data
3.5
Olga Bikhleyzer
115W–57L career · 5 lines in 2026
3%95%2%
3.25
3.5
Jeffrey Rooke
69W–63L career · 2 lines in 2026
4%94%2%
3.23
3.5
Bilal Memon
42W–22L career · 2 lines in 2026
6%93%1%
3.21
3.5
Julian Gay
54W–111L career · 5 lines in 2026
7%92%1%
3.19
Ravinder Sharma
16W–15L career · 2 lines in 2026
14%85%<1%
3.14
3.5
Alexis Ducharme
14W–23L career · 1 line in 2026
19%81%<1%
3.12
3.5
Brenda Hodges
22W–27L career · 4 lines in 2026
27%73%<1%
3.08
3.5
Jen Zebari
81W–67L career · 2 lines in 2026
29%71%<1%
3.07
3.5
Adam Zebari
45W–27L career · 2 lines in 2026
52%48%<1%
2.99
3.5
Minlu Chen
110W–160L career · type A · 2 lines in 2026
57%43%<1%
2.98
3
Beomseok Baig
43W–36L career · 3 lines in 2026
<1%63%37%
2.96
Joerg Schmidt
17W–8L 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.