Teams

Forty-Love

2023 Baltimore Mixed 40 & Over · Baltimore Mixed 40 & Over 7.0

10 players · average NTRP 4.00 / MARYLAND

View scouting list →
Schedule6 played
2023-06-03vs IoannouWon 10
W#1 DoublesEboni Lance / James Smith vs Kimberly Ford / J Blue6-2, 5-7, 1-0
2023-05-21vs Fast n FuriousWon 20
W#1 DoublesEboni Lance / James Smith vs Ruzica Ragontse / Alex Cheng6-1, 6-2
W#2 DoublesSean Der / Jean Acuna vs Anastasia Nardangeli / Matthew Nardangeli6-1, 6-1
2023-05-06Won 20
W#1 DoublesSean Der / Jean Acuna vs Matthew Thanner / Valerie Thanner6-2, 6-2
W#3 DoublesRongfeng Li / Maneesha Ahluwalia vs N/A6-0, 6-0
2023-04-23vs IoannouWon 10
W#1 DoublesSean Der / Jean Acuna vs Dan Hirschfeld / Eva Simmons-O'Brien6-2, 6-2
2023-04-02vs Show Your Love IILost 01
L#3 DoublesRongfeng Li / Maneesha Ahluwalia vs Colin Exelby / Lesley Tompkins4-6, 2-6
2023-04-01vs BrandtWon 10
W#2 DoublesEboni Lance / Peng Zhang vs Andrew Mullins / Carisa Husak6-3, 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 standings for Baltimore Mixed 40 & Over 7.0 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 3.63 estimated across 8 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.

4.38
Eboni Lance
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
3.96
Sean Der
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
3.69
Jean Acuna
published
3.65
Rita Piel
published
3.53
Maneesha Ahluwalia
usually #3 Doubles 100% · published 4
3.44
Jessica Walsh
published
3.30
Gil Myers
published 3.5
3.09
Rongfeng Li
usually #3 Doubles 100% · published 3.5
Nancy Der
published
Yanning Shou
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.

Eboni Lance + Sean Der5060% gamesnot enough data
Rongfeng Li + Maneesha Ahluwalia4165% 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.

4.5
Eboni Lance
357W–214L career · 3 lines in 2023
<1%81%19%
4.38
4.5
Sean Der
257W–135L career · 3 lines in 2023
62%38%<1%
3.96
Jean Acuna
8W–4L career · no lines in 2023
8%92%1%
3.69
Rita Piel
5W–8L career · no lines in 2023
12%87%<1%
3.65
4
Maneesha Ahluwalia
121W–124L career · 2 lines in 2023
42%58%<1%
3.53
Jessica Walsh
13W–9L career · no lines in 2023
69%31%<1%
3.44
3.5
Gil Myers
8W–2L career · no lines in 2023
1%93%6%
3.30
3.5
Rongfeng Li
120W–164L career · 2 lines in 2023
25%75%<1%
3.09
Nancy Der
2W–3L career · no lines in 2023
not enough data
Yanning Shou
8W–4L career · no lines in 2023
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.