Teams

Super Dragon Ball/Chien/Sumino

2023 Mixed Tri-Level 18 & Over · Mx 7.0

14 players · average NTRP 4.25 / ST. LOUIS

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 →
Schedule
Flight standings9 teams · Mx 7.0
TeamWLInd. WInd. LSets lostGames lost
1The mixed nuts/Huchet7117719173
2Triple Mixers/Cimarolli7115923192
3Super Dragon Ball/Chien/Sumino5212921176
4Donut drive in/Hammond4415923192
5Matched to smash/Wei44131124167
6Break Point/Wedick34101124170
7Set Offenders/Shouldis2551634226
8No Love, just Sets/Shouldis1661533215
9Dream Team All Stars1761838245

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 3.69 estimated across 9 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.

4.00
Chris Salaveria
published 4.5
3.98
Cheryl Perlmutter
published 4.5
3.86
Amanda Niebur
published 4.5
3.84
Malik Hagens
published
3.78
Beth Jameson
published 4
3.76
Marianne Sokup
published
Bohan Li
published 4
Cajal Sumino
published 4
3.74
Philip Kammann
published
3.14
Karen Ebert Meyer
published
3.12
Sanjeev Kamat
published
Han Zhao
published
Justin Arnold
published
Tony Chien
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.

Marianne Sokup + Sanjeev Kamat1437% 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
Chris Salaveria
59W–47L career · no lines in 2023
50%50%<1%
4.00
4.5
Cheryl Perlmutter
56W–69L career · no lines in 2023
57%43%<1%
3.98
4.5
Amanda Niebur
6W–33L career · no lines in 2023
85%15%<1%
3.86
Malik Hagens
118W–31L career · no lines in 2023
1%87%12%
3.84
4
Beth Jameson
121W–158L career · no lines in 2023
2%92%6%
3.78
Marianne Sokup
55W–101L career · no lines in 2023
96%4%<1%
3.76
4
Bohan Li
32W–13L career · no lines in 2023
not enough data
4
Cajal Sumino
54W–55L career · no lines in 2023
not enough data
Philip Kammann
80W–115L career · no lines in 2023
97%3%<1%
3.74
Karen Ebert Meyer
78W–99L career · no lines in 2023
16%84%1%
3.14
Sanjeev Kamat
63W–111L career · no lines in 2023
19%81%<1%
3.12
Han Zhao
25W–19L career · no lines in 2023
not enough data
Justin Arnold
8W–7L career · no lines in 2023
not enough data
Tony Chien
2W–1L career · no 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.