Teams

CDTA E 40&O M4.0 Tam Toba Sat 3 $22

CDTA ESL 40 & Over · CDTA ESL 40&O M 4.0

16 players · average NTRP 3.79 / 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 DoublesChester Choi / Joon Sung vs Guy Jang / James Engel6-3, 6-2
L#1 SinglesJohn Simonetti vs Oscar Moncau4-6, 5-7
L#2 DoublesBrian Benzer / Brian Toba vs James Cohick / Greg Waas3-6, 2-6
L#3 DoublesMark Ainsworth / David Grimm vs Seth Hanford / Craig Zeigler5-7, 3-6
L#1 DoublesBrian Benzer / Brian Toba vs Chris Boruff / Jay Goldner2-6, 7-5, 0-1
W#2 DoublesJazz Burks / Jim Cha vs Kevin Podwika / Don Carstens7-6, 3-4, 1-0
L#3 DoublesChester Choi / Leo Kanev vs Greg Tevonian / ADITYA OBI0-6, 2-6
W#1 DoublesPaul Leonardo / Mark Ainsworth vs Anthony Fiordaliso / Curtis Baddeley7-5, 6-3
W#2 DoublesDavid Grimm / Jazz Burks vs Joseph Lyden / Richard Foss6-2, 6-2
W#3 DoublesBrian Benzer / John Simonetti vs Paul Leyderman / William Strickley6-3, 6-3
W#1 DoublesJoon Sung / Benjamin Grais vs Bob Schnoll / Romal Sediq6-4, 7-6
L#2 DoublesNate Pualengco / David Grimm vs Steve Franks / Edward Graft6-7, 4-6
L#3 DoublesJohn Simonetti / Keith Sgariglia vs Rex J Lao / Ceasar Fuentecilla3-6, 3-6
L#2 DoublesBrian Benzer / Leo Kanev vs Clint Newbold / Brett Wangman2-6, 1-6
L#3 DoublesJason Wright / Mark Ainsworth vs Jeffrey Porto / Jawad Hussain3-6, 7-5, 1-0
W#1 SinglesNate Pualengco vs Ibrahim Khoury6-3, 6-2
W#3 DoublesLeo Kanev / Brian Benzer vs Neerav Jain / Avi Mehta6-3, 6-0
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 ESL 40&O M 4.0 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 3.53 estimated across 10 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.

3.87
Joon Sung
usually #1 Doubles 100% · published
3.80
Jazz Burks
usually #2 Doubles 100% · published 4
Benjamin Grais
usually #1 Doubles 100% · published 4
Chester Choi
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.67
Keith Sgariglia
usually #3 Doubles 100% · published
3.64
Paul Leonardo
usually #1 Doubles 100% · published
3.56
Mark Ainsworth
usually #3 Doubles 67%, also #1 Doubles 33% · published
3.46
Brian Benzer
usually #2 Doubles 40%, also #3 Doubles 40% · published 4
3.44
SEAN YANG
published
3.43
Leo Kanev
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.36
David Grimm
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.10
Brian Toba
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
Jason Hui
published
Jim Cha
usually #2 Doubles 100% · published
John Simonetti
usually #3 Doubles 67%, also #1 Singles 33% · published
Nate Pualengco
usually #1 Singles 50%, also #2 Doubles 50% · 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.

John Simonetti + Keith Sgariglia4254% games+7.2% vs expected
Leo Kanev + Brian Benzer4449% games+4.2% vs expected
Leo Kanev + John Simonetti81447% games+0.8% vs expected
Leo Kanev + Brian Toba5262% games+0.4% vs expected
Leo Kanev + David Grimm41742% games−0.6% vs expected
Brian Benzer + Brian Toba0734% games−10.5% vs expected
Leo Kanev + Nate Pualengco6746% gamesnot enough data
Joon Sung + SEAN YANG9260% 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.

Joon Sung
91W–45L career · 2 lines in 2023
<1%83%16%
3.87
4
Jazz Burks
229W–226L career · 2 lines in 2023
1%93%6%
3.80
4
Benjamin Grais
14W–10L career · type M · 1 line in 2023
not enough data
4
Chester Choi
8W–29L career · 2 lines in 2023
not enough data
Keith Sgariglia
90W–78L career · 1 line in 2023
10%89%1%
3.67
Paul Leonardo
91W–64L career · 1 line in 2023
14%86%<1%
3.64
Mark Ainsworth
52W–93L career · 3 lines in 2023
31%69%<1%
3.56
4
Brian Benzer
34W–58L career · 5 lines in 2023
61%39%<1%
3.46
SEAN YANG
13W–17L career · no lines in 2023
67%33%<1%
3.44
3.5
Leo Kanev
198W–171L career · 3 lines in 2023
<1%71%29%
3.43
3.5
David Grimm
50W–67L career · 3 lines in 2023
<1%86%14%
3.36
3.5
Brian Toba
161W–101L career · 2 lines in 2023
22%78%<1%
3.10
Jason Hui
32W–30L career · no lines in 2023
not enough data
Jim Cha
1W–3L career · 1 line in 2023
not enough data
John Simonetti
49W–53L career · 3 lines in 2023
not enough data
Nate Pualengco
37W–53L career · 2 lines in 2023
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.