Teams

That One Team-Pham

Coed Social League · 8.0 Eastside

7 players · average NTRP 4.00 / NORTHWEST WASHINGTON

View scouting list →
Schedule5 played
2025-08-14Won 20
W#1 Female DoublesMilan Mar / Tessa Tapmongkol vs Sanam Karami / Alexandra Shabalov6-1
W#1 Female SinglesTessa Tapmongkol vs Alexandra Shabalov6-1
2025-08-13vs TI - FUNWon 21
W#1 Female DoublesTessa Tapmongkol / Sydney Bloch vs Kaila Yun / Yimeng Song6-0
W#1 Female SinglesTessa Tapmongkol vs Kaila Yun6-1
L#1 Male SinglesSam Au vs Tianyou Liu1-6
2025-07-31vs Ungforced Errors-UngWon 30
W#1 Female DoublesMilan Mar / Sydney Bloch vs Kimberly Lum / Michiko Hunter6-4
W#1 Female SinglesSydney Bloch vs Kimberly Lum6-5
W#1 Male SinglesSam Au vs Brandon Nakata6-3
2025-07-25vs Swag Dawg DubsSplit 11
W#1 Female SinglesTessa Tapmongkol vs Taraneh Khalighi6-5
L#1 Male DoublesSam Au / Kevin Li vs Yuto Shingai / Jay Squire0-6
2025-07-10vs LiangWon 30
W#1 Female DoublesMilan Mar / Tessa Tapmongkol vs Elizabeth Murphy / Jaimie Sawyer6-5
W#1 Female SinglesTessa Tapmongkol vs N/A6-0
W#1 Male SinglesSam Au vs Jyo Das6-4
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 standings5 teams · 8.0 Eastside
TeamWLInd. WInd. LSets lostGames lost
1TI - FUN0626101097
2That One Team-Pham06231313139
3Swag Dawg Dubs06191717153
4Ungforced Errors-Ung06181818143
5Liang0633333203

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 3.83 estimated across 6 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.

4.09
Tessa Tapmongkol
usually #1 Female Singles 100% · published 4
3.96
Sydney Bloch
usually #1 Female Singles 50%, also #1 Female Doubles 50% · published 4
3.93
Kevin Li
usually #1 Male Doubles 50%, also #1 Male Singles 33% · published 4
3.76
Sam Au
usually #1 Male Singles 75%, also #1 Male Doubles 25% · published 4
3.71
Milan Mar
usually #1 Female Doubles 100% · published 4
3.55
Thuong Pham
published 4
Dominik Jakovljevic
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.

Milan Mar + Thuong Pham14955% games+12.6% vs expected
Kevin Li + Sam Au224 matchesnot enough data
Thuong Pham + Sam Au213 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
Tessa Tapmongkol
29W–5L career · 4 lines in 2025
<1%26%74%
4.09
4
Sydney Bloch
146W–67L career · 2 lines in 2025
<1%62%38%
3.96
4
Kevin Li
62W–55L career · 6 lines in 2025
<1%68%32%
3.93
4
Sam Au
43W–20L career · 4 lines in 2025
3%92%4%
3.76
4
Milan Mar
79W–45L career · 3 lines in 2025
6%92%2%
3.71
4
Thuong Pham
156W–95L career · no lines in 2025
37%63%<1%
3.55
Dominik Jakovljevic
2W–2L career · no lines in 2025
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.