Teams

Lob Stars

2022 Prince Georges Mixed 18 & Over · Prince Georges Mixed Doubles 18 & Over 6.0

13 players · average NTRP 3.64 / MARYLAND

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Schedule6 played
2022-03-27vs Guys & DollsWon 10
W#2 DoublesXenia Baranova / Franklin Sorto vs Diana Williams Gibau / Steven Gibau6-1, 6-1
2022-03-12Won 10
W#1 DoublesChristopher Grant / Belinda Oh vs Christophe Aresu / Sheila O'Connell6-3, 6-2
2022-03-06vs Guys & DollsWon 10
W#2 DoublesXenia Baranova / Victor Sanchez vs VICTORIA HAMILTON / Melvin Williams7-5, 6-2
2022-02-20vs 6.0 Mixed LoVVWon 10
W#1 DoublesChristopher Grant / Belinda Oh vs Wesley Cooper / Kylie Gaskins6-1, 6-0
2022-02-19vs 6.0 Mixed LoVVWon 20
W#1 DoublesChristopher Grant / Belinda Oh vs James Appel / Wendye Appel6-3, 6-2
W#3 DoublesXenia Baranova / Victor Sanchez vs Jon Anders / Anjali Garg6-1, 6-4
2022-02-05vs Double TroubleWon 10
W#1 DoublesTimothy Murphy / Belinda Oh vs Liam Fowl / Ilona Teleki6-2, 1-6, 1-0
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 standings for Prince Georges Mixed Doubles 18 & Over 6.0 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 3.42 estimated across 12 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.

3.91
Xenia Baranova
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.85
Lucy Wang
published
3.75
Belinda Oh
usually #1 Doubles 100% · published 4
3.74
Winny Zhang
published
3.62
Mindy Blakney
published
3.49
Jacinda Johnson
published 3.5
3.32
Victor Sanchez
published
3.31
Franklin Sorto
published 3.5
3.28
Mark Wang
published
3.22
Anna McLean
published 3.5
2.83
Jonaki Bose
published
2.75
Dean Griffith
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.

Franklin Sorto + Jacinda Johnson303 matchesnot enough data
Belinda Oh + Victor Sanchez303 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
Xenia Baranova
204W–68L career · 3 lines in 2022
<1%75%24%
3.91
Lucy Wang
33W–16L career · no lines in 2022
88%12%<1%
3.85
4
Belinda Oh
231W–77L career · 4 lines in 2022
3%95%3%
3.75
4
Christopher Grant
27W–8L career · no lines in 2022
not enough data
Winny Zhang
19W–18L career · no lines in 2022
3%94%2%
3.74
Mindy Blakney
58W–39L career · no lines in 2022
18%82%<1%
3.62
3.5
Jacinda Johnson
37W–14L career · no lines in 2022
<1%52%48%
3.49
Victor Sanchez
32W–28L career · no lines in 2022
1%91%8%
3.32
3.5
Franklin Sorto
10W–9L career · no lines in 2022
1%92%7%
3.31
Mark Wang
11W–15L career · no lines in 2022
1%94%5%
3.28
3.5
Anna McLean
2W–1L career · no lines in 2022
5%94%2%
3.22
Jonaki Bose
12W–3L career · no lines in 2022
1%90%9%
2.83
3
Dean Griffith
2W–2L career · no lines in 2022
3%95%3%
2.75

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.