Teams

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

CDTA Summer Combo Mixed · CDTA Combo Mixed 7.5X Summer

17 players · average NTRP 3.86 / 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 →
Schedule7 played
L#1 DoublesHoward Wu / Jean Soh vs Laura Knapp / Andre Andrade4-6, 1-6
L#2 DoublesSarah Blankenbaker / Igor Gogov vs James Brown / Julie Hahn6-3, 2-6, 0-1
W#3 DoublesSarah Young / Justin Booms vs Kedar Bhat / Joanna Wysocka6-2, 6-3
L#1 DoublesJean Soh / Ben Hawke vs KOHEI YAMAMOTO / Yumi Ida2-6, 2-6
W#2 DoublesCatie Hughes / Rod Ganesan vs Charlie Turri / Tomoko Hayashida2-6, 6-1, 1-0
L#1 DoublesMichelle Lee / Howard Wu vs Joseph Zabat / Rochelle Probst7-6, 3-6, 0-1
L#3 DoublesErin Kramer / Justin Booms vs Denise Lam / Gregg Rousseau6-7, 5-6
W#1 DoublesJean Soh / Howard Wu vs Ed Duffy / Christine Munteanu6-1, 7-6
L#3 DoublesSarah Haas / Brian Atad vs Sam Jemielity / Margaux Teegarden-Downs3-6, 6-1, 0-1
W#1 DoublesEmily Lund / Igor Gogov vs David Isphording / Cate Barnes7-5, 6-3
W#2 DoublesTina Cid / Han Han vs Brian Green / Joan Labue6-2, 6-0
W#2 DoublesSarah Blankenbaker / Howard Wu vs William Strickley / Linda Meyer6-1, 6-4
W#1 DoublesMichelle Lee / Rod Ganesan vs Jozef Slaby / Marina Minkina5-7, 6-4, 1-0
L#2 DoublesJean Soh / Howard Wu vs Alfred Tam / Yuri Tam6-4, 3-6, 1-0
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 CDTA Combo Mixed 7.5X Summer 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 3.71 estimated across 14 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 #3 Doubles 100% · published 4.5
4.28
Han Han
published 4.5
4.18
Michelle Lee
usually #1 Doubles 100% · published
3.90
Justin Booms
usually #3 Doubles 100% · published
3.86
Igor Gogov
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.82
Jean Soh
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
Ashley Kaufman
published 4
3.71
Sarah Blankenbaker
usually #2 Doubles 100% · published 4
3.63
Emily Lund
published 4
3.54
Ben Hawke
usually #1 Doubles 100% · published 4
3.47
Tina Cid
usually #2 Doubles 100% · published 3.5
3.40
Rod Ganesan
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.37
Howard Wu
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
Sarah Young
usually #3 Doubles 100% · published 3.5
3.24
Catie Hughes
published 3.5
3.19
Brian Atad
usually #3 Doubles 100% · published 3.5
Matthew Arceo
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
Jean Soh + Brian Atad17661% games+0.9% vs expected
Catie Hughes + Rod Ganesan7449% gamesnot enough data
Catie Hughes + Ben Hawke5650% gamesnot enough data
Erin Kramer + Han Han8262% gamesnot enough data
Sarah Blankenbaker + Matthew Arceo3346% gamesnot enough data
Sarah Blankenbaker + Justin Booms3352% gamesnot enough data
Rod Ganesan + Emily Lund3357% 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
Michelle Lee
167W–74L career · 1 line in 2022
9%91%1%
4.18
Justin Booms
101W–55L career · 1 line 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 · 4 lines in 2022
1%91%8%
3.82
4
Ashley Kaufman
31W–20L career · no lines in 2022
not enough data
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 · 1 line in 2022
38%62%<1%
3.54
3.5
Tina Cid
83W–29L career · 1 line in 2022
<1%60%40%
3.47
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
Sarah Young
21W–41L career · 1 line in 2022
not enough data
3.5
Catie Hughes
56W–44L career · no lines in 2022
3%95%2%
3.24
3.5
Brian Atad
133W–124L career · 1 line in 2022
8%92%1%
3.19
Matthew Arceo
21W–31L career · no lines 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.