Teams

Grace's Aces

2022 DC MTL Tri-Level Mixed · DC MTL Tri Level Mixed 4.5, 4.0, 3.5

17 players · average NTRP 4.39 / WASHINGTON D.C.

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 →
Schedule7 played
2022-09-07vs Wise Ace GOATsLost 01
L#3 DoublesJoy Wu / Jose Miguel Sacin vs Kirah Yen / Phillip Ramil4-6, 5-4
2022-08-27Won 10
W#1 DoublesChristen Harsha / Manu Balasubramanian vs N/A6-0, 6-0
2022-08-23vs Triple ThreatWon 20
W#1 DoublesKaren Taubenslag / Reginald Tull vs Vanessa Ogilvie / Christopher Reneau6-1, 6-4
W#3 DoublesMargarita Baldwin / Ryan Kim vs Sibyll Jones / Fitzgerald Lawerence6-2, 6-0
2022-08-17vs Triple ThreatWon 10
W#1 DoublesReginald Tull / Erika Trost vs Vanessa Ogilvie / Eric Ottenheimer6-2, 6-1
2022-08-07vs Wise Ace GOATsWon 10
W#1 DoublesErika Trost / Kyle Truong vs John Doe / Kara Stevenson6-4, 6-4
2022-08-03vs Triple ThreatWon 20
W#1 DoublesKyle Truong / Christen Harsha vs Malini Sekhar / Christopher Reneau7-6, 4-1
W#3 DoublesJose Miguel Sacin / Cameron Craig vs Eyad Abuhamda / Sharon Linares6-3, 5-4
2022-07-26vs Wise Ace GOATsSplit 11
L#2 DoublesKelly Blackborow / Jose Miguel Sacin vs Dian Zhang / William Wong5-7, 0-6
W#3 DoublesMargarita Baldwin / Ryan Kim vs Kirah Yen / Jonathan Kim6-1, 6-3
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 standings for DC MTL Tri Level Mixed 4.5, 4.0, 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 4.23 estimated across 13 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.

4.87
4.58
Erika Trost
usually #1 Doubles 100% · published 5
4.58
Christen Harsha
usually #1 Doubles 100% · published 5
4.40
Oliver Lee
published
Gianna Kang
published 4.5
4.25
Reginald Tull
usually #1 Doubles 100% · published 4.5
4.22
Kyle Truong
published
4.20
Kelly Blackborow
usually #2 Doubles 100% · published 4.5
4.18
Kenneth Fowler
published
4.16
Jonathan Santos
published
3.99
Margarita Baldwin
usually #3 Doubles 100% · published 4
3.92
Jose Miguel Sacin
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
3.86
Cameron Craig
published 4
3.72
Andrew Park
published 4
Joy Wu
published
Karen Taubenslag
published
Matt Morgan
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.

Jose Miguel Sacin + Margarita Baldwin9165% gamesnot enough data
Reginald Tull + Erika Trost314 matchesnot enough data
Kenneth Fowler + Margarita Baldwin303 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.

Manu Balasubramanian
41W–8L career · no lines in 2022
<1%83%17%
4.87
5
Erika Trost
383W–194L career · 2 lines in 2022
27%73%<1%
4.58
5
Christen Harsha
482W–135L career · 2 lines in 2022
28%72%<1%
4.58
Oliver Lee
31W–16L career · no lines in 2022
<1%77%23%
4.40
4.5
Gianna Kang
16W–3L career · no lines in 2022
not enough data
4.5
Reginald Tull
170W–99L career · 2 lines in 2022
3%95%3%
4.25
Kyle Truong
6W–1L career · no lines in 2022
4%94%2%
4.22
4.5
Kelly Blackborow
135W–66L career · 1 line in 2022
6%93%1%
4.20
Kenneth Fowler
56W–30L career · no lines in 2022
8%91%1%
4.18
Jonathan Santos
74W–27L career · no lines in 2022
11%88%<1%
4.16
4
Margarita Baldwin
449W–127L career · 2 lines in 2022
<1%54%46%
3.99
4
Jose Miguel Sacin
232W–97L career · 3 lines in 2022
<1%73%27%
3.92
4
Cameron Craig
44W–39L career · no lines in 2022
<1%86%14%
3.86
4
Andrew Park
27W–4L career · no lines in 2022
4%94%2%
3.72
Joy Wu
5W–0L career · no lines in 2022
not enough data
Karen Taubenslag
15W–14L career · no lines in 2022
not enough data
Matt Morgan
5W–1L career · no lines in 2022
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.