Teams

I'd Hit That Harder

2021 Baltimore Mixed 40 & Over · Baltimore Mixed 40 & Over 7.0

13 players · average NTRP 3.80 / MARYLAND

View scouting list →
Schedule6 played
2021-08-03Won 10
W#1 DoublesEva Simmons-O'Brien / Robert Hoffman vs N/A6-0, 6-0
2021-08-01Won 10
W#1 DoublesJohn Brakebill / Eva Simmons-O'Brien vs Fred Hill / Gabrielle Hart6-2, 6-1
2021-07-25Won 10
W#2 DoublesDONALD CRAWLEY / Leslie Mansfield vs Misty Doonis / Adam Daley6-3, 6-4
2021-07-20vs Hillendale HittersWon 10
W#2 DoublesWalter Parrish / Eva Simmons-O'Brien vs John Boynton / Rachel Ravalico6-2, 6-1
2021-07-15Won 10
W#1 DoublesDaniel Mansfield / Eva Simmons-O'Brien vs John Boynton / Gabrielle Hart6-0, 6-2
2021-07-08vs Hillendale HittersWon 10
W#1 DoublesDONALD CRAWLEY / Kelly Bellone vs Rachel Ravalico / Steven Reech6-1, 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 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 3.41 estimated across 10 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.

3.85
DONALD CRAWLEY
usually #1 Doubles 40%, also #3 Doubles 40% · published 4
3.83
Daniel Mansfield
published 4
3.63
Audrey Liu
published 4
3.59
Kimberly Ford
published
3.45
Lesley Tompkins
published
3.38
Eva Simmons-O'Brien
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
Chris Miller
published 3.5
3.19
Leslie Mansfield
published
3.15
Kelly Bellone
published
3.13
Robert Hoffman
published
2.91
Kamran Rasul
published
John Brakebill
published
Thelma Leitzer-Kerr
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.

Leslie Mansfield + Daniel Mansfield3352% games+1.7% vs expected
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
DONALD CRAWLEY
473W–252L career · 5 lines in 2021
<1%87%12%
3.85
4
Daniel Mansfield
33W–20L career · no lines in 2021
1%90%10%
3.83
4
Audrey Liu
10W–23L career · no lines in 2021
16%84%<1%
3.63
Kimberly Ford
55W–21L career · no lines in 2021
<1%25%75%
3.59
Lesley Tompkins
4W–1L career · no lines in 2021
66%34%<1%
3.45
3.5
Eva Simmons-O'Brien
79W–66L career · 4 lines in 2021
<1%82%18%
3.38
3.5
Chris Miller
2W–1L career · no lines in 2021
not enough data
Leslie Mansfield
36W–23L career · no lines in 2021
7%92%1%
3.19
Kelly Bellone
8W–5L career · no lines in 2021
13%87%<1%
3.15
Robert Hoffman
4W–16L career · no lines in 2021
15%85%<1%
3.13
Kamran Rasul
1W–4L career · no lines in 2021
76%24%<1%
2.91
John Brakebill
1W–1L career · no lines in 2021
not enough data
Thelma Leitzer-Kerr
3W–1L career · no lines in 2021
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.