Teams

MTC Kim

2026 Richmond Singles · Richmond Singles 4.5 Men

4 players · average NTRP 4.50 / VIRGINIA

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 standings6 teams · Richmond Singles 4.5 Men
TeamWLInd. WInd. LSets lostGames lost
1Powhatan 4.5 Tennisbums - Kelley000000
2Westwood - Baker/Rabhan000000
3MTC Kim000000
4MRTC Qing000000
5Deep Run - Houff000000
6ACAC-Neuwelt000000

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 3.78 estimated across 3 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.

4.24
Andrew Kristensen
published 4.5
3.76
Tanner Allison
published
3.34
Yalier Fuster
published
Fahim Rahman
published
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
Andrew Kristensen
5W–5L career · no lines in 2026
4%92%3%
4.24
Tanner Allison
1W–6L career · no lines in 2026
96%4%<1%
3.76
Yalier Fuster
2W–6L career · no lines in 2026
87%13%<1%
3.34
Fahim Rahman
6W–1L career · no lines in 2026
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.