Teams

CDTA F Combo Mix 7.5X McFetridge Baltazar Sat 1 $20

CDTA Fall Combo Mixed · CDTA Fall Combo Mixed 7.5X

18 players · average NTRP 3.83 / CHICAGO

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 →
Schedule6 played
W#1 DoublesJean Soh / Chen Cheng vs Margaux Teegarden-Downs / Ernesto Diaz7-5, 6-3
L#2 DoublesSau Mui / Howard Wu vs Jendy Barnes / Christian Lefever4-6, 1-6
L#3 DoublesDiana Atad / Ben Hawke vs Angela Anglin Weathers / Marty Weathers1-6, 2-6
L#1 DoublesErin Kramer / Igor Gogov vs Gregg Rousseau / Elleson Song4-6, 6-2, 0-1
W#2 DoublesJean Soh / Justin Booms vs Emily Paris / Ryan Sickle7-6, 4-2
L#1 DoublesJean Soh / Chen Cheng vs KOHEI YAMAMOTO / Yumi Ida3-6, 2-6
W#2 DoublesChristine Munteanu / Rod Ganesan vs Tsuyoshi Yamazaki / Tomoko Hayashida6-1, 6-2
W#3 DoublesDiana Atad / Justin Booms vs Cecilia Lauterbach / Venkat Tipirneni6-3, 6-4
L#1 DoublesHoward Wu / Jean Soh vs Dennis Tysl / Sophie Dimoff2-6, 4-6
L#2 DoublesBen Hawke / Catie Hughes vs Mark Rawlins / Jamie Gorey2-6, 2-6
L#1 DoublesRod Ganesan / Jean Soh vs Allen Goodman / Sophia Koliatsis4-6, 2-4
L#2 DoublesHoward Wu / Sarah Blankenbaker vs Jonathan Cooper / Rachael Ulizio3-6, 1-6
L#3 DoublesBen Hawke / Catie Hughes vs Mitchell Weinstein / Susan Kalina6-7, 3-6
W#1 DoublesIgor Gogov / Erin Kramer vs Christine Meade / Carlos Waldron7-6, 1-3, 1-0
W#2 DoublesSarah Blankenbaker / Howard Wu vs Eileen Lee / Kedar Bhat6-2, 6-2
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 standings9 teams · CDTA Fall Combo Mixed 7.5X
TeamWLInd. WInd. LSets lostGames lost
1CDTA F Combo Mix 7.5X Glenbrook Tysl Sun 9 $256117410126
2CDTA F Combo Mix 7.5X Wheaton Isphording Sat 2 $176116514134
3CDTA F Combo Mix 7.5X Tam Wright Fri 7:30 $224313821168
4CDTA F Combo Mix 7.5X MT Bann Klein Sun 10 $2534101125184
5CDTA F Combo Mix 7.5X Tam Corey Fri 7:30 $223491225172
6CDTA F Combo Mix 7.5X McFetridge Baltazar Sat 1 $203491226197
7CDTA F Combo Mix 7.5X Schaumburg Hayashida Sun 3 $201651634232
8CDTA F Combo Mix 7.5X Tam Landt Sat 5 $221621938238
9(DROPPED) CDTA F Combo Mix 7.5X River Trails Miller Sat 7 $2000000

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 3.65 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.

4.36
Erin Kramer
usually #1 Doubles 100% · published 4.5
4.28
Han Han
published 4.5
3.99
3.90
Justin Booms
published
3.86
Igor Gogov
usually #1 Doubles 100% · published 4
3.82
Jean Soh
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.71
Sarah Blankenbaker
usually #2 Doubles 100% · published 4
3.63
Emily Lund
published 4
3.54
Ben Hawke
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.49
3.40
Rod Ganesan
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.37
Howard Wu
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.33
Chen Cheng
published 3.5
Sarah Young
published 3.5
3.24
Catie Hughes
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
2.87
Diana Atad
usually #3 Doubles 100% · published 3
Matthew Arceo
published
Sau Mui
usually #2 Doubles 100% · 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.

Howard Wu + Sarah Blankenbaker7752% games+6.7% vs expected
Marjorie Baltazar + Rod Ganesan8365% games+2.8% vs expected
Catie Hughes + Rod Ganesan7449% gamesnot enough data
Catie Hughes + Ben Hawke5650% gamesnot enough data
Erin Kramer + Han Han8262% gamesnot enough data
Diana Atad + Han Han7257% gamesnot enough data
Sarah Blankenbaker + Matthew Arceo3346% gamesnot enough data
Sarah Blankenbaker + Justin Booms3352% gamesnot 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
Erin Kramer
63W–55L career · 1 line in 2022
<1%85%15%
4.36
4.5
Han Han
107W–85L career · no lines in 2022
2%94%5%
4.28
4
Christine Munteanu
89W–95L career · no lines in 2022
<1%52%48%
3.99
Justin Booms
101W–55L career · no lines in 2022
<1%78%22%
3.90
4
Igor Gogov
193W–84L career · 2 lines in 2022
<1%85%15%
3.86
4
Jean Soh
468W–283L career · 5 lines in 2022
1%91%8%
3.82
4
Sarah Blankenbaker
175W–175L career · 2 lines in 2022
6%93%1%
3.71
4
Emily Lund
256W–130L career · no lines in 2022
17%83%<1%
3.63
4
Ben Hawke
31W–34L career · 3 lines in 2022
38%62%<1%
3.54
4
Marjorie Baltazar
183W–85L career · no lines in 2022
54%46%<1%
3.49
3.5
Rod Ganesan
135W–81L career · 2 lines in 2022
<1%77%23%
3.40
3.5
Howard Wu
80W–71L career · 3 lines in 2022
<1%85%15%
3.37
3.5
Chen Cheng
65W–47L career · no lines in 2022
1%90%9%
3.33
3.5
Sarah Young
21W–41L career · no lines in 2022
not enough data
3.5
Catie Hughes
56W–44L career · 2 lines in 2022
3%95%2%
3.24
3
Diana Atad
105W–88L career · 2 lines in 2022
<1%85%15%
2.87
Matthew Arceo
21W–31L career · no lines in 2022
not enough data
Sau Mui
12W–17L career · 1 line in 2022
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.