Teams

Marle: LTFC

USTA FLEX LEAGUE -- SEASON IV -- DOES NOT AFFECT NTRP · 6.0

2 players · average NTRP 3.25 / COLORADO

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 →
Schedule4 played
2025-09-27Won 10
W#1 Mixed DoublesEmily Marle / Peter Marle vs N/A6-0, 6-0
2025-09-20vs Tennis Slayers: SS-HWon 10
W#1 Mixed DoublesEmily Marle / Peter Marle vs Phuong Banh / Wai Lun Chung6-0, 6-0
2025-09-16vs Racquet Cats: SS-LTWon 10
W#1 Mixed DoublesEmily Marle / Peter Marle vs Susan Goldman / David Kannikal6-0, 6-0
2025-09-06vs Koru: PCRKWon 10
W#1 Mixed DoublesEmily Marle / Peter Marle vs Yujeong Choi / Alfonso Ortiz6-2, 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 standings4 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1Marle: LTFC4242426
2Tennis Slayers: SS-H2424848
3Koru: PCRK15151062
4Racquet Cats: SS-LT06061272

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 3.35 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.

3.53
Emily Marle
usually #1 Mixed Doubles 100% · published 3.5
3.17
Peter Marle
usually #1 Mixed Doubles 100% · published 3
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.

Emily Marle + Peter Marle7078% 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.

3.5
Emily Marle
104W–20L career · 4 lines in 2025
<1%40%60%
3.53
3
Peter Marle
109W–29L career · 4 lines in 2025
<1%10%90%
3.17

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.