Teams

Worth

2024 Mixed 18 & Over · 8.0 Combined

6 players · average NTRP 4.17 / ST. LOUIS

View scouting list →
Schedule7 played
2024-08-07vs GontarzLost 01
L#1 DoublesHailey Guliano / Ryan Maus vs Stefan Nosic / Mary Zimmer5-7, 4-6
2024-08-05vs Frate-HamiltonLost 01
L#1 DoublesRyan Maus / Hailey Guliano vs Eric Abramson / Tara Frate2-6, 3-6
2024-07-15vs Whats Up Doc (Shouldis)Lost 01
L#2 DoublesJason Jan / Cajal Sumino vs Nichole Carpenter / Sam Shouldis6-3, 3-6, 0-1
2024-07-10vs SindecuseWon 20
W#2 DoublesRobert Holthaus / Annie Walsh vs John Nash / Judy Sindecuse7-6, 7-6
W#3 DoublesCajal Sumino / Ryan Maus vs Molly Clipp / Scott Stinson6-1, 6-0
2024-06-19vs LahmWon 20
W#1 DoublesAnson Tse / Leonor Maliszewski vs Timothy Buerk / Ellen Hendel6-0, 6-2
W#2 DoublesCajal Sumino / Robert Holthaus vs Joshua McDonald / Jane Herder6-3, 6-4
2024-06-12vs STL/Sandweiss/18&Over8.0MXDLost 02
L#1 DoublesAnson Tse / Cajal Sumino vs Smeet Merchant / Trinity Lopez1-6, 3-6
L#2 DoublesJason Jan / Hailey Guliano vs Wesley Law / Elena Breer0-6, 4-6
2024-06-03vs BestLost 01
L#1 DoublesAnson Tse / Cajal Sumino vs Matthew Bier / Carol Lebovic3-6, 6-7
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 · 8.0 Combined
TeamWLInd. WInd. LSets lostGames lost
1Frate-Hamilton7118616165
2STL/Sandweiss/18&Over8.0MXD7118619204
3Wedick/Rigby5317715145
4Gontarz5315919202
5Whats Up Doc (Shouldis)44131125207
6Best2561531222
7Worth2671736247
8Sindecuse2661839264
9Lahm1651634230

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 3.74 estimated across 2 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.

Annie Walsh
usually #2 Doubles 100% · published 4.5
3.89
Ryan Maus
usually #1 Doubles 67%, also #3 Doubles 33% · published
Anson Tse
usually #1 Doubles 100% · published 4
Cajal Sumino
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.58
Jason Jan
usually #2 Doubles 67%, also #1 Doubles 33% · published
Ryan Worth
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.

Jason Jan + Cajal Sumino224 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.

4.5
Annie Walsh
74W–48L career · 1 line in 2024
not enough data
Ryan Maus
66W–40L career · 6 lines in 2024
<1%79%21%
3.89
4
Anson Tse
23W–44L career · 3 lines in 2024
not enough data
4
Cajal Sumino
54W–55L career · 5 lines in 2024
not enough data
Jason Jan
30W–40L career · 3 lines in 2024
27%73%<1%
3.58
Ryan Worth
48W–47L career · no lines in 2024
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.