Teams

CHI F CX7.5 8.Gnvw Baltazar Sat 5 $21

Fall Combo Mixed · Mixed 7.5

7 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 →
Flight standings10 teams · Mixed 7.5
TeamWLInd. WInd. LSets lostGames lost
1CHI F CX7.5 1.Tam Landt Fri 7:30 $25000000
2CHI F CX7.5 2.MTC Brown Sat 7 $34.5000000
3CHI F CX7.5 3.CPW Yang Sat 6 $28000000
4CHI F CX7.5 4.RT Spinazze Sat 7 $29000000
5CHI F CX7.5 5.Gnbk Tysl Sun 5 $30000000
6CHI F CX7.5 6.Wilm Spade Sat 3 $20000000
7CHI F CX7.5 7.RT Burks Sat 7 $29000000
8CHI F CX7.5 8.Gnvw Baltazar Sat 5 $21000000
9CHI F CX7.5 9.Wilm Wright Fri 7 $20000000
10CHI F CX7.5 10.STP Hayashida Sun 3 $20000000

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 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.

3.99
David Shin
published 4
3.63
Emily Lund
published 4
3.49
3.31
JP Tucker
published 3.5
3.29
Tony Ling
published 3.5
3.26
Louie Gonzalez
published 3.5
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.

Louie Gonzalez + Christine Munteanu6256% gamesnot enough data
Christine Munteanu + Tony Ling2447% gamesnot enough data
Marjorie Baltazar + Louie Gonzalez404 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
Christine Munteanu
89W–95L career · no lines in 2026
<1%52%48%
3.99
4
David Shin
18W–5L career · no lines in 2026
not enough data
4
Emily Lund
256W–130L career · no lines in 2026
17%83%<1%
3.63
4
Marjorie Baltazar
183W–85L career · no lines in 2026
54%46%<1%
3.49
3.5
JP Tucker
6W–0L career · type S · no lines in 2026
1%92%7%
3.31
3.5
Tony Ling
16W–19L career · type M · no lines in 2026
1%93%5%
3.29
3.5
Louie Gonzalez
91W–72L career · no lines in 2026
2%95%3%
3.26

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.