Teams

CDTA S M18&O 7.0X McFetridge Baltazar Sat 1 $20

CDTA Summer Mixed 18 & over · CDTA 18 & Over 7.0 Mixed Summer

16 players · average NTRP 3.69 / 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 →
Schedule5 played
2022-07-30Won 20
W#2 DoublesMarjorie Baltazar / Justin Booms vs N/A6-0, 6-0
W#3 DoublesCatie Hughes / Rod Ganesan vs N/A6-0, 6-0
L#1 DoublesSarah Blankenbaker / Howard Wu vs Denise Lam / Gregg Rousseau4-6, 7-5, 0-1
L#2 DoublesCatie Hughes / Ben Hawke vs Emily Paris / Nick Paterakos3-6, 3-6
W#3 DoublesTina Cid / Brian Atad vs Christi Harrison / Young Choi6-3, 1-6, 1-0
W#1 DoublesMarjorie Baltazar / Rod Ganesan vs Jazz Burks / Julie Savanelli4-6, 6-5, 1-0
L#2 DoublesSarah Haas / Brian Atad vs Joan Cooney / Norlin Monzon3-6, 6-4, 1-0
L#3 DoublesDiana Atad / Carlos del Moral vs Mariusz Cislak / Alicia Tisbo1-6, 1-6
W#1 DoublesBen Hawke / Emily Lund vs Paula Grabow Duignan / Youngbin Lim6-2, 6-3
W#2 DoublesTina Cid / Carlos del Moral vs Derrick Broekemier / Cate Le7-5, 6-5
L#3 DoublesAlexandria Kotoch / Howard Wu vs Sandy Sherwood / Leon Voskov1-6, 1-6
L#1 DoublesSarah Terry / Justin Booms vs Grace Kuhrt / Thomas Strickler7-5, 4-6, 0-1
W#2 DoublesSarah Haas / Igor Gogov vs Michelle Parks / Venkat Tipirneni6-2, 7-5
L#3 DoublesDiana Atad / Howard Wu vs Kathie Melean / Andrew Pappas3-6, 2-6
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 standings7 teams · CDTA 18 & Over 7.0 Mixed Summer
TeamWLInd. WInd. LSets lostGames lost
1CDTA S M18&O 7.0X Tam Wright Tues 7 $226014414146
2CDTA S M18&O 7.0X Forest View Werts Sat 11 $213210514119
3CDTA S M18&O 7.0X Wimbledon Janzen Fri 7:30 $203381023188
4CDTA S M18&O 7.0X Forest View Hayashida Sun 9 $21226614101
5CDTA S M18&O 7.0X McFetridge Baltazar Sat 1 $20238716124
6CDTA S M18&O 7.0X Centennial Sioufi Sun 1 $202481021163
7CDTA S M18&O 7.0X Forest View Korczak Sat 9 $211531532201

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 3.49 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.

4.12
3.90
Justin Booms
usually #1 Doubles 100% · published
3.86
Igor Gogov
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.71
Sarah Blankenbaker
usually #3 Doubles 67%, also #2 Doubles 17% · published 4
3.63
Emily Lund
usually #1 Doubles 100% · published 4
3.54
Ben Hawke
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.49
Marjorie Baltazar
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.47
Tina Cid
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.40
Rod Ganesan
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.37
Howard Wu
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.24
Catie Hughes
usually #2 Doubles 100% · published 3.5
3.19
Brian Atad
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.11
Carlos del Moral
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.87
Diana Atad
usually #3 Doubles 100% · published 3
Alexandria Kotoch
usually #3 Doubles 100% · published
Sarah Terry
usually #1 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
Brian Atad + Diana Atad81243% games−1.0% vs expected
Catie Hughes + Rod Ganesan7449% gamesnot enough data
Catie Hughes + Ben Hawke5650% gamesnot enough data
Sarah Blankenbaker + Justin Booms3352% gamesnot enough data
Rod Ganesan + Emily Lund3357% gamesnot enough data
Ben Hawke + Emily Lund5161% 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
Jeanine Stathopoulos
163W–71L career · no lines in 2022
<1%18%82%
4.12
Justin Booms
101W–55L career · 1 line in 2022
<1%78%22%
3.90
4
Igor Gogov
193W–84L career · 4 lines in 2022
<1%85%15%
3.86
4
Sarah Blankenbaker
175W–175L career · 6 lines in 2022
6%93%1%
3.71
4
Emily Lund
256W–130L career · 1 line in 2022
17%83%<1%
3.63
4
Ben Hawke
31W–34L career · 2 lines in 2022
38%62%<1%
3.54
4
Marjorie Baltazar
183W–85L career · 2 lines in 2022
54%46%<1%
3.49
3.5
Tina Cid
83W–29L career · 2 lines 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
Catie Hughes
56W–44L career · 1 line in 2022
3%95%2%
3.24
3.5
Brian Atad
133W–124L career · 2 lines in 2022
8%92%1%
3.19
3.5
Carlos del Moral
31W–39L career · 2 lines in 2022
20%80%<1%
3.11
3
Diana Atad
105W–88L career · 2 lines in 2022
<1%85%15%
2.87
Alexandria Kotoch
3W–16L career · 1 line in 2022
not enough data
Sarah Terry
8W–5L 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.